From 5a93539d95d1c63ab5f2b7e021ad1135a419ea57 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 21 Oct 2012 20:49:36 -0700 Subject: [PATCH 001/385] first push --- BIDMach.jar | Bin 0 -> 26819 bytes bidmach | 24 ++++ build.sbt | 48 +++++++ lib/bidmach_init.scala | 14 ++ project/plugins.sbt | 7 + src/main/scala/BIDMach/Learner.scala | 110 ++++++++++++++++ src/main/scala/BIDMach/Optimizer.scala | 46 +++++++ src/main/scala/BIDMach/Regression.scala | 157 +++++++++++++++++++++++ src/main/scala/BIDMach/TestLearner.scala | 29 +++++ 9 files changed, 435 insertions(+) create mode 100755 BIDMach.jar create mode 100755 bidmach create mode 100755 build.sbt create mode 100755 lib/bidmach_init.scala create mode 100755 project/plugins.sbt create mode 100755 src/main/scala/BIDMach/Learner.scala create mode 100644 src/main/scala/BIDMach/Optimizer.scala create mode 100755 src/main/scala/BIDMach/Regression.scala create mode 100755 src/main/scala/BIDMach/TestLearner.scala diff --git a/BIDMach.jar b/BIDMach.jar new file mode 100755 index 0000000000000000000000000000000000000000..20d2ba82e479b377614c65c60b3715649c2a2123 GIT binary patch literal 26819 zcmaI71CS(Lw*}g^ZQHhO+qONeY1_7KOxw2YYFpFpp6-70-T%Ib@4dM9R#jw0oyg3n zb55+i*4}HUk}N0~8W7aqH%GC$FwnnVXh2{<^5Sa3^wJ6vjPk+?(h}mTY7FucUz0#U zp$W_ggG_MZFH#+%j0qJr*n#9InHB3h!{`{5y5#5m*AoE=I#F8Jx8HeJ0oMI`%kZjY zk@BwdwP+qWq;ccmGWe_H;nbNBLq$Gvh%v9r{Gs(mlH^6!anD!%d!F9A2^!y{RJhMl zYuNnoN8i}BuDXTxQ=4PJjXdJxZ>~jM@42udCUPoL_aI8LkWdf`>|arT|2Z=-5RlT} z`M~_wEdKxVf%-ctA}uCwY-+{$&sqQTtg-)fmb{~xxgD9Qow2Jc!+#y!6{lo|gwXgo z<$3IrHgyP}T9BKRFd+tVd1*z6TcTz3C&>^zWaQYSKN-_I??C@h-BZv@fm;FuxGZP6 zAD%w%p#g9oU_Lps%~JZ8TF5$qN!mqCOMFRUJtxP zm_GPWHUkxwXZ}#DZPdciW}?>x5OJNm7A}$Xy)47-12i4Z&tfsSV7sgaJ>~;M8@f%Z z9u`ek@=(F4Epx`@((`0ZZM(;>5l~jI##rXi`))o>Ddx@31q=Eqgz2zDV$n?*Y1qNN zLuTcAWdzeEiUnaTX=uPaW<;-y5RZw!#NjDCquX4u_<*0GcNTc{KpnfWD_mLAW&m52Y-_YJtj4fgR$qTN01_&sg58De?`Dks_lEq>OU?SPrIvHFw03o~ zHvP|%lNmcWI#{?nklFpe!^Tc*WX%8BgjBUl1yp6EF9qt9RgD5Ar0xKv!sFH;DkIuS zdvtn~4z~N#a~CVj^yV1@sCOW~cqlA44pq=k!c$=1t;ZcTGLjdiwhr+cYqe zKW=MknHtjJP-SgtFSjeKz`N`^^Q>!<+fo%=t*7`6%WC&*405Fv#piJ(VM&z5kWH;l zR;r%zh%*{F8S6;fXXiDTO1-WLQ$m_&WNE&8v*HhB=lGB|ll;iG zr&T;|pm;g`eMu*XS6gbP8rh79#7glBAg3R_77gH5aP3y~d_U z@P!dY&HPNw%Nw#Rq|k9*k)#;ki`oOT_e+5TGI*KDQ_Ck858H#ku&^Pqbbh?1N`dQn_4E-D^?0 z-l$;y)|7S$BoS+yZaT`l1!K~rxo(QmxtWTFmt_}H@wI8M=ixw?#EZm=T?7rA-%p{b z2DUnL%7P$Y%4o^Sy899=w`x4{M&RVzNe`23Rv6-}e@BYjXNGDZxBtjEB7uRBE2T&NE56fowU4y66-(Ok}PziG)#)N z?g{E>^oqN=8y24(AO8H(TkwJEK<-$6dHJcjO}>MD<3~1!w24lz56Urm#;+t=;6v6= zC;_q2FA$@gB$5I39D4{ao>yb}9OY5z7rD^Lm_bl}ipKg4lfZ?T&@ajda|Jz}ghuiM z$<-b3<2~$bi_bgkkF;q2P1X>%5o?}N;MIOVrP#}o&^H~x6}oy}Ix3M}$Mg>KA2=(p+GV`c=c)HzYMB<|f(yU3M}v9ueq30O0= zwJEO5rk4<|1vYbH2qzUGua2|xR^@Cd4~Jy0eUqznb_~8;`Hd>RGvz~2-ikxN!*We! 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"$OS" = "Windows_NT" ]; then + export ALL_LIBS=`echo "${ALL_LIBS}" | sed 's/;/:/g'` +fi + +scala -nobootcp -cp "${ALL_LIBS}" -Yrepl-sync -i ${LIBDIR}/bidmach_init.scala \ No newline at end of file diff --git a/build.sbt b/build.sbt new file mode 100755 index 00000000..51bbc047 --- /dev/null +++ b/build.sbt @@ -0,0 +1,48 @@ + +name := "BIDMach" + +version := "0.1.0" + +organization := "edu.berkeley.bid" + +scalaVersion := "2.9.1" + +resolvers ++= Seq( + "Scala Tools Snapshots" at "http://scala-tools.org/repo-snapshots/" +) + +libraryDependencies <<= (scalaVersion, libraryDependencies) { (sv, deps) => + deps :+ ("org.scala-lang" % "scala-compiler" % sv) +} + +libraryDependencies += "org.scala-lang" % "jline" % "2.9.1" + +libraryDependencies += "org.scalatest" %% "scalatest" % "1.8" % "test" + +libraryDependencies += "org.scala-tools.testing" %% "scalacheck" % "1.9" % "test" + +libraryDependencies += "junit" % "junit" % "4.5" % "test" + +credentials += Credentials(Path.userHome / ".ivy2" / ".credentials") + +javacOptions ++= Seq("-source", "1.5", "-target", "1.5") + +scalacOptions ++= Seq("-deprecation","-target:jvm-1.5") + +initialCommands := scala.io.Source.fromFile("lib/bidmach_init.scala").getLines.mkString("\n") + +javaOptions += "-Xmx12g" + +seq(ProguardPlugin.proguardSettings :_*) + +proguardOptions ++= Seq ( + "-keep class scala.** { *; }", + "-keep class org.jfree.** { *; }", + keepMain("scala.tools.nsc.MainGenericRunner"), + keepLimitedSerializability, + keepAllScala, + "-keep class ch.epfl.** { *; }", + "-keep interface scala.ScalaObject" +) + + diff --git a/lib/bidmach_init.scala b/lib/bidmach_init.scala new file mode 100755 index 00000000..c18f6a67 --- /dev/null +++ b/lib/bidmach_init.scala @@ -0,0 +1,14 @@ +import BIDMat.{Mat, DMat, FMat, IMat, BMat, CMat, SMat, SDMat, GMat, GSMat, HMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import BIDMat.Solvers._ +import BIDMat.Plotting._ +import BIDMach.{Learner,LogisticModel,LinearRegModel,ADAGradOptimizer} + +{ +var a = new Array[Int](1) +jcuda.runtime.JCuda.cudaGetDeviceCount(a) +if (a(0) > 0) jcuda.runtime.JCuda.initialize +Mat.hasCUDA = a(0) +} +printf("%d CUDA device%s found\n", Mat.hasCUDA, if (Mat.hasCUDA == 1) "" else "s") diff --git a/project/plugins.sbt b/project/plugins.sbt new file mode 100755 index 00000000..bf5cb709 --- /dev/null +++ b/project/plugins.sbt @@ -0,0 +1,7 @@ + +libraryDependencies <+= sbtVersion(v => "com.github.siasia" %% "xsbt-proguard-plugin" % (v+"-0.1.1")) + +resolvers += "Proguard plugin repo" at "http://siasia.github.com/maven2" + + + diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala new file mode 100755 index 00000000..23654ecb --- /dev/null +++ b/src/main/scala/BIDMach/Learner.scala @@ -0,0 +1,110 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +trait Model { + var options:Learner.Options = null + def initmodel(learner:Learner, data:Mat, target:Mat):Mat + def gradfun(data:Mat, target:Mat, model:Mat, diff:Mat):Double +} + +case class Learner(datamat:Mat, targetmat:Mat, model:Model, optimizer:Optimizer) { + + var options:Options = model.options + var modelmat:Mat = null + model.initmodel(this, datamat, targetmat) + val (nrows, ncols) = size(modelmat) + val diff:Mat = modelmat.zeros(nrows, ncols) + val n = datamat.ncols + val nw = options.memwindow/options.blocksize + val nww = options.convwindow/options.blocksize + optimizer.init(this, modelmat) + + def run() = { + var done:Boolean = false + var ipass = 0 + var llest:Double = 0 + var llder:Double = 0 + var llold:Double = 0 + var tsecs:Double = 1 + tic + while (ipass < options.npasses && ! done) { + var i = 0 + while (i < n && ! done) { + var iend = math.min(n, i+options.blocksize) + var dslice = datamat(?, i->iend) + var tslice = targetmat(?, i->iend) + val tll = model.gradfun(dslice, tslice, modelmat, diff) + optimizer.update(modelmat, diff, options.blocksize) + + llest = (1/nw)*(tll + (nw-1)*llest) + llder = (1/nww)*(tll-llold + (nww-1)*llder) + llold = tll + i += options.blocksize + if (llder > 0 && llder < options.convslope) { + done = true + } + if (toc >= tsecs || done || (ipass == options.npasses-1 && i >= n)) { + println("pass=%d, i=%d t=%3.1f secs, ll=%5.4f, slope=%5.4g, norm=%5.2f" format + (ipass, i, tsecs, llest, llder, norm(modelmat.asInstanceOf[FMat]))) + tsecs += options.secprint + } + } + ipass += 1 + } + } +} + + +object Learner { + class Options { + var blocksize:Int = 10000 + var npasses:Int = 100 + var alpha:Float = 500f + var memwindow:Double = 1000000 + var convwindow:Double = 1000000 + var gradwindow:Float = 10000000 + var convslope:Double = -1e-6 + var secprint:Double = 1 + var eps:Float = 1e-8f + } + + def checkSize(a:FMat, nr:Int, nc:Int):FMat = { + if (a.asInstanceOf[AnyRef] != null && a.nrows == nr && a.ncols == nc) { + a + } else { + zeros(nr, nc) + } + } + + def checkSize(a:FMat, b:FMat):FMat = checkSize(a, b.nrows, b.ncols) + + def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] + + def mapfun2x2(fn:(Float, Float)=>(Float, Float), in0:FMat, in1:FMat, out0:FMat, out1:FMat) = { + if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || in0.nrows != out1.nrows || + in0.ncols != in1.ncols || in0.ncols != out0.ncols || in0.ncols != out1.ncols) { + throw new RuntimeException("dimensions mismatch") + } + var i = 0 + while (i < in0.length) { + val (v1, v2) = fn(in0.data(i), in1.data(i)) + out0.data(i) = v1 + out1.data(i) = v2 + i += 1 + } + } + def mapfun2x1(fn:(Float, Float)=>Float, in0:FMat, in1:FMat, out0:FMat) = { + if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || + in0.ncols != in1.ncols || in0.ncols != out0.ncols) { + throw new RuntimeException("dimensions mismatch") + } + var i = 0 + while (i < in0.length) { + out0.data(i) = fn(in0.data(i), in1.data(i)) + i += 1 + } + } +} diff --git a/src/main/scala/BIDMach/Optimizer.scala b/src/main/scala/BIDMach/Optimizer.scala new file mode 100644 index 00000000..addedbea --- /dev/null +++ b/src/main/scala/BIDMach/Optimizer.scala @@ -0,0 +1,46 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +trait Optimizer { + def init(learner:Learner, model:Mat):Unit + def update(model:Mat, update:Mat, step:Int):Unit +} + +class ADAGradOptimizer extends Optimizer { + + var sumSq:FMat = null + var tmp0:FMat = null + var tmp1:FMat = null + var nsteps:Float = 1e5f + var options:Learner.Options = null + + def init(learner:Learner, model:Mat) = { + sumSq = 0.0001f*ones(size(model,1), size(model,2)) + nsteps = 1e5f + options = learner.options + } + + def update(model:Mat, update:Mat, step:Int):Unit = { + val fmodel = model.asInstanceOf[FMat] + val fupdate = update.asInstanceOf[FMat] + tmp0 = checkSize(tmp0, fmodel) + tmp1 = checkSize(tmp1, fmodel) + val nw = (options.gradwindow/step) + var i = 0 + while (i < model.length) { + sumSq.data(i) = (1/nw)*(fupdate.data(i)*fupdate.data(i) + (nw-1)*sumSq.data(i)) + i += 1 + } + sqrt(tmp0 ~ sumSq*nsteps, tmp1) + i = 0 + while (i < model.length) { + fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/tmp1.data(i) + i += 1 + } + Mat.nflops += 7L * model.length + nsteps += step + } +} \ No newline at end of file diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala new file mode 100755 index 00000000..83aa1903 --- /dev/null +++ b/src/main/scala/BIDMach/Regression.scala @@ -0,0 +1,157 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +class LinearRegModel extends RegressionModel { + class Options extends Learner.Options {} + options = new Options + + options.blocksize = 10000 + options.npasses = 100 + options.alpha = 200f + options.convslope = -1e-6 + + var diff:FMat = null + var tmp0:FMat = null + + override def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = + linearMap1(targ, pred, lls, gradw) + + def linearMap1(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit= { + diff = checkSize(diff, targ) + tmp0 = checkSize(tmp0, targ) + + diff ~ targ - pred + lls ~ (tmp0 ~ diff *@ diff) * -1 + gradw ~ diff * 2 + } +} + +class LogisticModel extends RegressionModel { + class Options extends Learner.Options {} + options = new Options + + options.blocksize = 10000 + options.npasses = 100 + options.alpha = 500f + options.convslope = -1e-6 + + var tfact:FMat = null + var ptfact:FMat = null + var epred:FMat = null + var lle:FMat = null + var tmp0:FMat = null + var tmp1:FMat = null + + override def initmodel(learner:Learner, data:Mat, target:Mat):Mat = { + val out = super.initmodel(learner, data, target) + out + } + + override def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = + logisticMap1(targ, pred, lls, gradw) + + def logisticMap1(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit= { + tfact = checkSize(tfact, targ) + ptfact = checkSize(ptfact, targ) + epred = checkSize(epred, targ) + lle = checkSize(lle, targ) + + var i = 0 + while (i < targ.length) { + tfact.data(i) = 1-2*targ.data(i) + ptfact.data(i) = math.min(40f, pred.data(i) * tfact.data(i)) + i+=1 + } + exp(ptfact, epred) + log1p(epred, lle) + lls ~ row(-1) * lle + i = 0 + while (i < targ.length) { + gradw.data(i) = - tfact.data(i) * epred.data(i) / (1 + epred.data(i)) + i+=1 + } + Mat.nflops += 8L * targ.length + } + + def logisticMap2(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { + var i = 0 + while (i < targ.length) { + val tfact:Double = (1-2*targ.data(i)) + val epred:Double = math.exp(math.min(40f, pred.data(i) * tfact)) + lls.data(i) = -math.log1p(epred).asInstanceOf[Float] + gradw.data(i) = (- tfact * epred / (1 + epred)).asInstanceOf[Float] + i += 1 + } + Mat.nflops += 14L * targ.length + } + + def logisticMap3(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { + tfact = checkSize(tfact, targ) + epred = checkSize(epred, targ) + tmp0 = checkSize(tmp0, targ) + tmp1 = checkSize(tmp1, targ) + + tfact ~ row(1) - (tmp0 ~ row(2)*targ) + min(40f, tmp0 ~ tfact *@ pred, tmp1) + exp(tmp1, epred) + log1p(epred, tmp0) + lls ~ row(-1) * tmp0 + gradw ~ -1 * (tmp0 ~ tfact *@ (tmp1 ~ epred /@ (tmp0 ~ 1 + epred))) + } + + def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { + tfact = checkSize(tfact, targ) + ptfact = checkSize(ptfact, targ) + epred = checkSize(epred, targ) + lle = checkSize(lle, targ) + + Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, tfact, ptfact) + exp(ptfact, epred) + log1p(epred, lle) + lls ~ row(-1) * lle + Learner.mapfun2x1((tfact:Float, epred:Float)=>(-tfact*epred/(1+epred)), tfact, epred, gradw) + Mat.nflops += 8L * targ.length + } +} + +abstract class RegressionModel extends Model { + + var tpred:FMat = null + var fttarget:FMat = null + var lls:FMat = null + var gradw:FMat = null + var modelmat:FMat = null + + def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit + + def initmodel(learner:Learner, data:Mat,target:Mat):Mat = { + val m = size(data, 1) + val n = size(target, 1) + val out = 0.1f*normrnd(0,1,m,n) + learner.modelmat = out + modelmat = out + out + } + + def gradfun(data:Mat, target:Mat, model:Mat, diff:Mat):Double = { + val sdata = data.asInstanceOf[SMat] + val ftarget = target.asInstanceOf[FMat] + val fmodel = model.asInstanceOf[FMat] + val fdiff = diff.asInstanceOf[FMat] + + fttarget = checkSize(fttarget, target.ncols, target.nrows) + lls = checkSize(lls, fttarget) + tpred = checkSize(tpred, fttarget) + gradw = checkSize(gradw, fttarget) + + fttarget ~ ftarget t; + tpred ~ sdata Tx fmodel + regfn(fttarget, tpred, lls, gradw) + fdiff ~ sdata * gradw + mean(mean(lls)).v + } +} + diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala new file mode 100755 index 00000000..7dd77c62 --- /dev/null +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -0,0 +1,29 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + + +object TestLearner { + def runLogLearner(rt:SMat, st:FMat):Learner = { + val learner = Learner(rt, st > 4, new LogisticModel, new ADAGradOptimizer) + learner.run + learner + } + + def runLinLearner(rt:SMat, st:FMat):Learner = { + val learner = Learner(rt, st, new LinearRegModel, new ADAGradOptimizer) + learner.run + learner + } + + def main(args: Array[String]): Unit = { + val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" + val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") + val rt = SMat(revtrain) + val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") + val st = FMat(scrtrain).t + runLinLearner(rt, st) + } +} From 4b4273e3ce9b43cf6d4c4b8847074345aa24947a Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 21 Oct 2012 21:27:57 -0700 Subject: [PATCH 002/385] added copyright notices --- Copyright.txt | 25 +++++++++++++++++++++++++ src/main/scala/BIDMach/Copyright.txt | 25 +++++++++++++++++++++++++ 2 files changed, 50 insertions(+) create mode 100755 Copyright.txt create mode 100755 src/main/scala/BIDMach/Copyright.txt diff --git a/Copyright.txt b/Copyright.txt new file mode 100755 index 00000000..21326596 --- /dev/null +++ b/Copyright.txt @@ -0,0 +1,25 @@ +Copyright (c) 2012, Regents of the University of California +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of the nor the + names of its contributors may be used to endorse or promote products + derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY +DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + diff --git a/src/main/scala/BIDMach/Copyright.txt b/src/main/scala/BIDMach/Copyright.txt new file mode 100755 index 00000000..21326596 --- /dev/null +++ b/src/main/scala/BIDMach/Copyright.txt @@ -0,0 +1,25 @@ +Copyright (c) 2012, Regents of the University of California +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of the nor the + names of its contributors may be used to endorse or promote products + derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY +DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + From 1066a999ff44eee7d53db9cbfcfe6cf87e58759c Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Oct 2012 02:07:28 -0700 Subject: [PATCH 003/385] fixes to GPU generics --- BIDMach.jar | Bin 26819 -> 28985 bytes src/main/scala/BIDMach/Learner.scala | 8 +- src/main/scala/BIDMach/Optimizer.scala | 29 +++-- src/main/scala/BIDMach/Regression.scala | 128 +++++++++++++---------- src/main/scala/BIDMach/TestLearner.scala | 12 ++- 5 files changed, 102 insertions(+), 75 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 20d2ba82e479b377614c65c60b3715649c2a2123..bc34b251096ca87227c6f2fb9368e5420baf7107 100755 GIT binary patch delta 23997 zcmZU)b8sio_br-aV%rnj#>BR5`x9H!v27a@+qONiolK00C-dg}z4yLX_xHL_)$Y@^ zPXEzWyVf~-tv$2=-f;kqq%8LZ5)%ye->m?ym54O+3@iz66UxA_oF$?v8TkX z9N50R&dKE6o%Un50zN+8zV<_E;vNvR-r$OIGY-r*GRej{87!q8)($Yv&U094mvQuX zhlO3vbBTE^?5Nb%I>|fOBS?8W)-bTv1FMK;uc@UP4k;}`25bg%9GVlGljiNs$F
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(ipass, i, tsecs, llest, llder, norm(modelmat.asInstanceOf[FMat]))) + (ipass, i, tsecs, llest, llder, norm(modelmat))) tsecs += options.secprint } } @@ -71,15 +71,15 @@ object Learner { var eps:Float = 1e-8f } - def checkSize(a:FMat, nr:Int, nc:Int):FMat = { + def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { if (a.asInstanceOf[AnyRef] != null && a.nrows == nr && a.ncols == nc) { a } else { - zeros(nr, nc) + b.zeros(nr, nc) } } - def checkSize(a:FMat, b:FMat):FMat = checkSize(a, b.nrows, b.ncols) + def checkSize(a:Mat, b:Mat):Mat = checkSize(a, b.nrows, b.ncols, b) def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] diff --git a/src/main/scala/BIDMach/Optimizer.scala b/src/main/scala/BIDMach/Optimizer.scala index addedbea..04704a8e 100644 --- a/src/main/scala/BIDMach/Optimizer.scala +++ b/src/main/scala/BIDMach/Optimizer.scala @@ -11,35 +11,42 @@ trait Optimizer { class ADAGradOptimizer extends Optimizer { - var sumSq:FMat = null - var tmp0:FMat = null - var tmp1:FMat = null + var sumSq:Mat = null + var tmp0:Mat = null + var tmp1:Mat = null + var tmp2:Mat = null var nsteps:Float = 1e5f var options:Learner.Options = null def init(learner:Learner, model:Mat) = { - sumSq = 0.0001f*ones(size(model,1), size(model,2)) + sumSq = model.ones(size(model,1), size(model,2)) * 0.0001f nsteps = 1e5f options = learner.options } def update(model:Mat, update:Mat, step:Int):Unit = { - val fmodel = model.asInstanceOf[FMat] - val fupdate = update.asInstanceOf[FMat] - tmp0 = checkSize(tmp0, fmodel) - tmp1 = checkSize(tmp1, fmodel) val nw = (options.gradwindow/step) + tmp0 = checkSize(tmp0, model) + tmp1 = checkSize(tmp1, model) + tmp2 = checkSize(tmp2, model) +/* val fmodel = model.asInstanceOf[FMat] + val fupdate = update.asInstanceOf[FMat] + tmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] + tmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] + var i = 0 while (i < model.length) { sumSq.data(i) = (1/nw)*(fupdate.data(i)*fupdate.data(i) + (nw-1)*sumSq.data(i)) i += 1 - } + } */ + sumSq ~ (tmp1 ~ (tmp0 ~ update *@ update) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) sqrt(tmp0 ~ sumSq*nsteps, tmp1) - i = 0 +/* i = 0 while (i < model.length) { fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/tmp1.data(i) i += 1 - } + } */ + model ~ model + (tmp1 ~ (tmp0 ~ update /@ tmp1) * options.alpha); Mat.nflops += 7L * model.length nsteps += step } diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index 83aa1903..1189b5c2 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -8,23 +8,24 @@ class LinearRegModel extends RegressionModel { class Options extends Learner.Options {} options = new Options - options.blocksize = 10000 - options.npasses = 100 + options.blocksize = 8000 + options.npasses = 10 options.alpha = 200f options.convslope = -1e-6 - var diff:FMat = null - var tmp0:FMat = null + var diff:Mat = null + var tmp0:Mat = null - override def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = + override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) - - def linearMap1(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit= { - diff = checkSize(diff, targ) + + def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { + diff = checkSize(diff, targ) tmp0 = checkSize(tmp0, targ) - + diff ~ targ - pred - lls ~ (tmp0 ~ diff *@ diff) * -1 + tmp0 ~ diff *@ diff + lls ~ tmp0 * -1 gradw ~ diff * 2 } } @@ -34,9 +35,12 @@ class LogisticModel extends RegressionModel { options = new Options options.blocksize = 10000 - options.npasses = 100 + options.npasses = 20 options.alpha = 500f options.convslope = -1e-6 + + override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = + logisticMap1(targ.asInstanceOf[FMat], pred.asInstanceOf[FMat], lls.asInstanceOf[FMat], gradw.asInstanceOf[FMat]) var tfact:FMat = null var ptfact:FMat = null @@ -45,19 +49,11 @@ class LogisticModel extends RegressionModel { var tmp0:FMat = null var tmp1:FMat = null - override def initmodel(learner:Learner, data:Mat, target:Mat):Mat = { - val out = super.initmodel(learner, data, target) - out - } - - override def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = - logisticMap1(targ, pred, lls, gradw) - def logisticMap1(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit= { - tfact = checkSize(tfact, targ) - ptfact = checkSize(ptfact, targ) - epred = checkSize(epred, targ) - lle = checkSize(lle, targ) + tfact = checkSize(tfact, targ).asInstanceOf[FMat] + ptfact = checkSize(ptfact, targ).asInstanceOf[FMat] + epred = checkSize(epred, targ).asInstanceOf[FMat] + lle = checkSize(lle, targ).asInstanceOf[FMat] var i = 0 while (i < targ.length) { @@ -89,10 +85,10 @@ class LogisticModel extends RegressionModel { } def logisticMap3(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { - tfact = checkSize(tfact, targ) - epred = checkSize(epred, targ) - tmp0 = checkSize(tmp0, targ) - tmp1 = checkSize(tmp1, targ) + tfact = checkSize(tfact, targ).asInstanceOf[FMat] + epred = checkSize(epred, targ).asInstanceOf[FMat] + tmp0 = checkSize(tmp0, targ).asInstanceOf[FMat] + tmp1 = checkSize(tmp1, targ).asInstanceOf[FMat] tfact ~ row(1) - (tmp0 ~ row(2)*targ) min(40f, tmp0 ~ tfact *@ pred, tmp1) @@ -103,10 +99,10 @@ class LogisticModel extends RegressionModel { } def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { - tfact = checkSize(tfact, targ) - ptfact = checkSize(ptfact, targ) - epred = checkSize(epred, targ) - lle = checkSize(lle, targ) + tfact = checkSize(tfact, targ).asInstanceOf[FMat] + ptfact = checkSize(ptfact, targ).asInstanceOf[FMat] + epred = checkSize(epred, targ).asInstanceOf[FMat] + lle = checkSize(lle, targ).asInstanceOf[FMat] Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, tfact, ptfact) exp(ptfact, epred) @@ -118,40 +114,56 @@ class LogisticModel extends RegressionModel { } abstract class RegressionModel extends Model { - - var tpred:FMat = null - var fttarget:FMat = null - var lls:FMat = null - var gradw:FMat = null - var modelmat:FMat = null - def regfn(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit + def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit - def initmodel(learner:Learner, data:Mat,target:Mat):Mat = { + def initmodel(learner:Learner, data:Mat, target:Mat):Mat = { val m = size(data, 1) val n = size(target, 1) - val out = 0.1f*normrnd(0,1,m,n) + val out = gnormrnd(0,1,n,m)*0.1f +// val out = 0.1f*normrnd(0,1,m,n) + println("norm="+norm(out)) learner.modelmat = out - modelmat = out out } - def gradfun(data:Mat, target:Mat, model:Mat, diff:Mat):Double = { - val sdata = data.asInstanceOf[SMat] - val ftarget = target.asInstanceOf[FMat] - val fmodel = model.asInstanceOf[FMat] - val fdiff = diff.asInstanceOf[FMat] - - fttarget = checkSize(fttarget, target.ncols, target.nrows) - lls = checkSize(lls, fttarget) - tpred = checkSize(tpred, fttarget) - gradw = checkSize(gradw, fttarget) - - fttarget ~ ftarget t; - tpred ~ sdata Tx fmodel - regfn(fttarget, tpred, lls, gradw) - fdiff ~ sdata * gradw - mean(mean(lls)).v - } + var tpred:Mat = null + var ttarget:Mat = null + var lls:Mat = null + var gradw:Mat = null + var data:Mat = null + var target:Mat = null + + def gradfun(idata:Mat, itarget:Mat, model:Mat, diff:Mat):Double = { + (idata, itarget, model) match { + case (sdata:SMat, ftarget:FMat, gmodel:GMat) => { + lls = checkSize(lls, itarget.nrows, itarget.ncols, model) + tpred = checkSize(tpred, lls) + gradw = checkSize(gradw, lls) + + data = GSMat(sdata) + target = GMat(ftarget) + tpred ~ gmodel * data; + regfn(target, tpred, lls, gradw) + diff ~ gradw xT data + target.asInstanceOf[GMat].free + data.asInstanceOf[GSMat].free + mean(mean(lls)).dv + + } + case (sdata:SMat, ftarget:FMat, fmodel:FMat) => { + ttarget = checkSize(ttarget, itarget.ncols, itarget.nrows, itarget) + lls = checkSize(lls, ttarget) + tpred = checkSize(tpred, ttarget) + gradw = checkSize(gradw, ttarget) + + ttarget ~ ftarget t; + tpred ~ sdata Tx fmodel + regfn(ttarget, tpred, lls, gradw) + diff ~ sdata * gradw + mean(mean(lls)).dv + } + } + } } diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 7dd77c62..36a0c40c 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -19,11 +19,19 @@ object TestLearner { } def main(args: Array[String]): Unit = { + tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") - val rt = SMat(revtrain) + val rt = SMat(revtrain)(0->40000,0->(32*(size(revtrain,2)/32))) val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") val st = FMat(scrtrain).t - runLinLearner(rt, st) + val t = toc + println("Reading time=%3.2f seconds" format t) + val stt = zeros(256, size(st,2)) + for (i<-0 until size(stt,1)) {stt(i,?) = st} + flip + runLinLearner(rt, stt) + val (ff, tt) = gflop + println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) } } From 253c466b0ba02aa839968d4b3d8ff1189241eae5 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 2 Nov 2012 19:17:00 -0700 Subject: [PATCH 004/385] added plots to learner --- BIDMach.jar | Bin 28985 -> 53462 bytes bidmach | 21 +-- lib/bidmach_init.scala | 2 +- src/main/scala/BIDMach/Learner.scala | 45 ++++--- src/main/scala/BIDMach/Optimizer.scala | 86 ++++++++----- src/main/scala/BIDMach/Regression.scala | 155 +++++++++++++---------- src/main/scala/BIDMach/TestLearner.scala | 33 +++-- 7 files changed, 196 insertions(+), 146 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index bc34b251096ca87227c6f2fb9368e5420baf7107..73599ba256ed978f67500ce0d2234d97371fc2b1 100755 GIT binary patch literal 53462 zcmbTdV~}O-vMpR)wr$&Xb=gLjyKLLGZFJeTZC7=1m2I0}zxzGsp1t?IXaD$Ctmnsy z8L?(W&df0~$H=K54FZY^1PKWVq>yMJ2=q@MR3K0wSy2^1I!QS(23bKlNik7n6?$2* z&v782JK4zz8EHEDIXG!L>gmau1|`PdEZYaW2f#oI(h!jKzQC6_fBp*V&r$e4H;9S< 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zM)5$s#N$96L~Om1%#d#`2A>3w%t(kP(}-88o0cNVEdW2P%knXBC8s~4lWgS z3Yux;vgii_ii@G**{w}*6|ShSNrVccWr$U)1Kd+0wgB#Uh;41u9zV3BfHOODH;amA zPbcFPX%w0#bpmd75>Ct)s7YRXQbkKnAOkco0hy5X$RPSqR`gSui-GUv@gSoDZMK=z zpZ>D2dT(6%IqtQSyZ-8A06?U7zf4}<+FSiJ<@!DTmqnMX1OOo9yZ>#4^$TU<&7<@4 zTW`yL>*Vy4Z}ls#U*GZ`1eS6yZ$iend) var tslice = targetmat(?, i->iend) - val tll = model.gradfun(dslice, tslice, modelmat, diff) - optimizer.update(modelmat, diff, options.blocksize) + val tll = model.gradfun(dslice, tslice) + regularizer.compute(iend-i) + updater.update(iend-i) llest = (1/nw)*(tll + (nw-1)*llest) llder = (1/nww)*(tll-llold + (nww-1)*llder) @@ -47,25 +43,28 @@ case class Learner(datamat:Mat, targetmat:Mat, model:Model, optimizer:Optimizer) done = true } if (toc >= tsecs || done || (ipass == options.npasses-1 && i >= n)) { - println("pass=%d, i=%d t=%3.1f secs, ll=%5.4f, slope=%5.4g, norm=%5.2f" format - (ipass, i, tsecs, llest, llder, norm(modelmat))) - tsecs += options.secprint + println("pass=%d, i=%d t=%3.1f secs, ll=%5.4f, slope=%5.4g" format (ipass, i, tsecs, llest, llder)) + tscores = tscores :+ -llest.asInstanceOf[Float] + tsteps = tsteps :+ nsteps.asInstanceOf[Float] + tsecs += options.secprint } } ipass += 1 } + val timeplot = plot(1->(tscores.size+1), row(tscores.toArray)) + val stepplot = plot(row(tsteps.toArray), row(tscores.toArray)) + timeplot.setTitle("Neg log likelihood vs time in seconds") + stepplot.setTitle("Neg log likelihood vs number of samples") } } object Learner { class Options { - var blocksize:Int = 10000 + var blocksize:Int = 8000 var npasses:Int = 100 - var alpha:Float = 500f - var memwindow:Double = 1000000 + var memwindow:Double = 1000000 var convwindow:Double = 1000000 - var gradwindow:Float = 10000000 var convslope:Double = -1e-6 var secprint:Double = 1 var eps:Float = 1e-8f diff --git a/src/main/scala/BIDMach/Optimizer.scala b/src/main/scala/BIDMach/Optimizer.scala index 04704a8e..b21502e4 100644 --- a/src/main/scala/BIDMach/Optimizer.scala +++ b/src/main/scala/BIDMach/Optimizer.scala @@ -4,50 +4,70 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import Learner._ -trait Optimizer { - def init(learner:Learner, model:Mat):Unit - def update(model:Mat, update:Mat, step:Int):Unit +trait Updater { + def update(step:Int):Unit } -class ADAGradOptimizer extends Optimizer { +class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updater.Options) extends Updater { - var sumSq:Mat = null var tmp0:Mat = null var tmp1:Mat = null var tmp2:Mat = null - var nsteps:Float = 1e5f - var options:Learner.Options = null - def init(learner:Learner, model:Mat) = { - sumSq = model.ones(size(model,1), size(model,2)) * 0.0001f - nsteps = 1e5f - options = learner.options - } - - def update(model:Mat, update:Mat, step:Int):Unit = { + val modelmat = model.modelmat + val updatemat = model.updatemat + val options = opts + var nsteps = options.initnsteps + val sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq + + def update(step:Int):Unit = update1(step) + + def update1(step:Int):Unit = { + val nw = (options.gradwindow/step) + tmp0 = checkSize(tmp0, modelmat) + tmp1 = checkSize(tmp1, modelmat) + tmp2 = checkSize(tmp2, modelmat) + sumSq ~ (tmp1 ~ (tmp0 ~ updatemat *@ updatemat) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) + if (nsteps > options.waitsteps) { + sqrt(tmp0 ~ sumSq*nsteps, tmp1) + modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat /@ tmp1) * options.alpha) + } + nsteps += step + } + + def update2(step:Int):Unit = { val nw = (options.gradwindow/step) - tmp0 = checkSize(tmp0, model) - tmp1 = checkSize(tmp1, model) - tmp2 = checkSize(tmp2, model) -/* val fmodel = model.asInstanceOf[FMat] - val fupdate = update.asInstanceOf[FMat] - tmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] - tmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] + val fmodel = modelmat.asInstanceOf[FMat] + val fsumSq = sumSq.asInstanceOf[FMat] + val fupdate = updatemat.asInstanceOf[FMat] + val ftmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] + val ftmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] var i = 0 - while (i < model.length) { - sumSq.data(i) = (1/nw)*(fupdate.data(i)*fupdate.data(i) + (nw-1)*sumSq.data(i)) - i += 1 - } */ - sumSq ~ (tmp1 ~ (tmp0 ~ update *@ update) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) - sqrt(tmp0 ~ sumSq*nsteps, tmp1) -/* i = 0 - while (i < model.length) { - fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/tmp1.data(i) + while (i < modelmat.length) { + fsumSq.data(i) = 1/nw*(fupdate.data(i)*fupdate.data(i) + (nw-1)*fsumSq.data(i)) + ftmp0.data(i) = nsteps * fsumSq.data(i) i += 1 - } */ - model ~ model + (tmp1 ~ (tmp0 ~ update /@ tmp1) * options.alpha); - Mat.nflops += 7L * model.length + } + if (nsteps > options.waitsteps) { + sqrt(ftmp0, ftmp1) + i = 0 + while (i < modelmat.length) { + fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/ftmp1.data(i) + i += 1 + } + } + Mat.nflops += 8L * modelmat.length nsteps += step } +} + +object Updater { + class Options { + var gradwindow:Float = 1e6f + var alpha:Float = 100f + var initnsteps:Float = 1000f + var initsumsq:Float = 1e-4f + var waitsteps = 100000 + } } \ No newline at end of file diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index 1189b5c2..aad1b0a1 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -4,20 +4,12 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import Learner._ -class LinearRegModel extends RegressionModel { - class Options extends Learner.Options {} - options = new Options +class LinearRegModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Options) extends RegressionModel(data0, target0, opts) { - options.blocksize = 8000 - options.npasses = 10 - options.alpha = 200f - options.convslope = -1e-6 - - var diff:Mat = null var tmp0:Mat = null - - override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = - linearMap1(targ, pred, lls, gradw) + var diff:Mat = null + + def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { diff = checkSize(diff, targ) @@ -28,45 +20,62 @@ class LinearRegModel extends RegressionModel { lls ~ tmp0 * -1 gradw ~ diff * 2 } + + def linearMap2(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { + val ftarg = targ.asInstanceOf[FMat] + val fpred = pred.asInstanceOf[FMat] + val flls = lls.asInstanceOf[FMat] + val fgradw = gradw.asInstanceOf[FMat] + + var i = 0 + while (i < targ.length) { + val diff = ftarg.data(i) - fpred.data(i) + fgradw.data(i) = 2 * diff + flls.data(i) = -diff * diff + i += 1 + } + } } -class LogisticModel extends RegressionModel { - class Options extends Learner.Options {} - options = new Options +class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Options) extends RegressionModel(data0, target0, opts) { + + def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = logisticMap1(targ, pred, lls, gradw) - options.blocksize = 10000 - options.npasses = 20 - options.alpha = 500f - options.convslope = -1e-6 - - override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = - logisticMap1(targ.asInstanceOf[FMat], pred.asInstanceOf[FMat], lls.asInstanceOf[FMat], gradw.asInstanceOf[FMat]) + var tfact:Mat = null + var ptfact:Mat = null + var epred:Mat = null + var lle:Mat = null + var tmp0:Mat = null + var tmp1:Mat = null - var tfact:FMat = null - var ptfact:FMat = null - var epred:FMat = null - var lle:FMat = null - var tmp0:FMat = null - var tmp1:FMat = null + var ftfact:FMat = null + var fptfact:FMat = null + var fepred:FMat = null + var flle:FMat = null + var ftmp0:FMat = null + var ftmp1:FMat = null - def logisticMap1(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit= { - tfact = checkSize(tfact, targ).asInstanceOf[FMat] - ptfact = checkSize(ptfact, targ).asInstanceOf[FMat] - epred = checkSize(epred, targ).asInstanceOf[FMat] + def logisticMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { + val ftarg = targ.asInstanceOf[FMat] + val fpred = pred.asInstanceOf[FMat] + val fgradw = gradw.asInstanceOf[FMat] + tfact = checkSize(tfact, ftarg).asInstanceOf[FMat] + ptfact = checkSize(ptfact, ftarg).asInstanceOf[FMat] + epred = checkSize(epred, ftarg).asInstanceOf[FMat] lle = checkSize(lle, targ).asInstanceOf[FMat] var i = 0 - while (i < targ.length) { - tfact.data(i) = 1-2*targ.data(i) - ptfact.data(i) = math.min(40f, pred.data(i) * tfact.data(i)) + while (i < ftarg.length) { + ftfact.data(i) = 1-2*ftarg.data(i) + fptfact.data(i) = math.min(40f, fpred.data(i) * ftfact.data(i)) i+=1 } - exp(ptfact, epred) - log1p(epred, lle) - lls ~ row(-1) * lle + exp(ptfact, fepred) + log1p(fepred, flle) + lls ~ row(-1) * flle i = 0 while (i < targ.length) { - gradw.data(i) = - tfact.data(i) * epred.data(i) / (1 + epred.data(i)) + fgradw.data(i) = - ftfact.data(i) * fepred.data(i) / (1 + fepred.data(i)) i+=1 } Mat.nflops += 8L * targ.length @@ -84,14 +93,14 @@ class LogisticModel extends RegressionModel { Mat.nflops += 14L * targ.length } - def logisticMap3(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { - tfact = checkSize(tfact, targ).asInstanceOf[FMat] - epred = checkSize(epred, targ).asInstanceOf[FMat] - tmp0 = checkSize(tmp0, targ).asInstanceOf[FMat] - tmp1 = checkSize(tmp1, targ).asInstanceOf[FMat] + def logisticMap3(targ:Mat, pred:Mat, lls:Mat, gradw:Mat) = { + tfact = checkSize(tfact, targ) + epred = checkSize(epred, targ) + tmp0 = checkSize(tmp0, targ) + tmp1 = checkSize(tmp1, targ) tfact ~ row(1) - (tmp0 ~ row(2)*targ) - min(40f, tmp0 ~ tfact *@ pred, tmp1) + min(40.0, tmp0 ~ tfact *@ pred, tmp1) exp(tmp1, epred) log1p(epred, tmp0) lls ~ row(-1) * tmp0 @@ -99,32 +108,42 @@ class LogisticModel extends RegressionModel { } def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { - tfact = checkSize(tfact, targ).asInstanceOf[FMat] - ptfact = checkSize(ptfact, targ).asInstanceOf[FMat] - epred = checkSize(epred, targ).asInstanceOf[FMat] + ftfact = checkSize(tfact, targ).asInstanceOf[FMat] + fptfact = checkSize(ptfact, targ).asInstanceOf[FMat] + fepred = checkSize(epred, targ).asInstanceOf[FMat] lle = checkSize(lle, targ).asInstanceOf[FMat] - Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, tfact, ptfact) - exp(ptfact, epred) - log1p(epred, lle) + Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, ftfact, fptfact) + exp(fptfact, fepred) + log1p(fepred, lle) lls ~ row(-1) * lle - Learner.mapfun2x1((tfact:Float, epred:Float)=>(-tfact*epred/(1+epred)), tfact, epred, gradw) + Learner.mapfun2x1((tfact:Float, epred:Float)=>(-tfact*epred/(1+epred)), ftfact, fepred, gradw) Mat.nflops += 8L * targ.length } } -abstract class RegressionModel extends Model { +abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) extends Model(data0, target0, opts) { + + var modelmat:Mat = null + var updatemat:Mat = null + initmodel(data0, target0) def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit - def initmodel(learner:Learner, data:Mat, target:Mat):Mat = { + def initmodel(data:Mat, target:Mat) = initmodelf(data, target) + + def initmodelf(data:Mat, target:Mat) = { val m = size(data, 1) val n = size(target, 1) - val out = gnormrnd(0,1,n,m)*0.1f -// val out = 0.1f*normrnd(0,1,m,n) - println("norm="+norm(out)) - learner.modelmat = out - out + modelmat = 0.1f*normrnd(0,1,m,n) + updatemat = modelmat.zeros(m, n) + } + + def initmodelg(data:Mat, target:Mat) = { + val m = size(data, 1) + val n = size(target, 1) + modelmat = gnormrnd(0,1,n,m)*0.1f + updatemat = modelmat.zeros(n, m) } var tpred:Mat = null @@ -134,10 +153,10 @@ abstract class RegressionModel extends Model { var data:Mat = null var target:Mat = null - def gradfun(idata:Mat, itarget:Mat, model:Mat, diff:Mat):Double = { - (idata, itarget, model) match { + def gradfun(idata:Mat, itarget:Mat):Double = { + (idata, itarget, modelmat) match { case (sdata:SMat, ftarget:FMat, gmodel:GMat) => { - lls = checkSize(lls, itarget.nrows, itarget.ncols, model) + lls = checkSize(lls, itarget.nrows, itarget.ncols, modelmat) tpred = checkSize(tpred, lls) gradw = checkSize(gradw, lls) @@ -145,23 +164,21 @@ abstract class RegressionModel extends Model { target = GMat(ftarget) tpred ~ gmodel * data; regfn(target, tpred, lls, gradw) - diff ~ gradw xT data + updatemat ~ gradw xT data target.asInstanceOf[GMat].free data.asInstanceOf[GSMat].free - mean(mean(lls)).dv - + mean(mean(lls,2)).dv } case (sdata:SMat, ftarget:FMat, fmodel:FMat) => { ttarget = checkSize(ttarget, itarget.ncols, itarget.nrows, itarget) lls = checkSize(lls, ttarget) tpred = checkSize(tpred, ttarget) - gradw = checkSize(gradw, ttarget) - + gradw = checkSize(gradw, ttarget) ttarget ~ ftarget t; tpred ~ sdata Tx fmodel regfn(ttarget, tpred, lls, gradw) - diff ~ sdata * gradw - mean(mean(lls)).dv + updatemat ~ sdata * gradw + mean(mean(lls,1)).dv } } } diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 36a0c40c..a0ff1543 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -6,28 +6,41 @@ import Learner._ object TestLearner { - def runLogLearner(rt:SMat, st:FMat):Learner = { - val learner = Learner(rt, st > 4, new LogisticModel, new ADAGradOptimizer) + def runLogLearner(rt:SMat, st:FMat) = { + val model = new LogisticModel(rt, st) + val regularizer = new L1Regularizer(model) + val updater = new ADAGradUpdater(model) + val learner = Learner(rt, st > 4, model, regularizer, updater) learner.run - learner } - def runLinLearner(rt:SMat, st:FMat):Learner = { - val learner = Learner(rt, st, new LinearRegModel, new ADAGradOptimizer) + def runLinLearner(rt:SMat, st:FMat) = { + val model = new LinearRegModel(rt, st) { + override def initmodel(data:Mat, target:Mat) = initmodelf(data, target) + override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) + } + val regularizer = new L1Regularizer(model) + val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } + val learner = Learner(rt, st, model, regularizer, updater) + regularizer.options.beta = 1e-7f + updater.options.alpha = 300f + updater.options.gradwindow = 1e6f + learner.options.npasses = 50 learner.run - learner } def main(args: Array[String]): Unit = { + Mat.checkCUDA tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") - val rt = SMat(revtrain)(0->40000,0->(32*(size(revtrain,2)/32))) + val t1 = toc; tic + val rt = SMat(revtrain)(0->40000,0->(8000*(size(revtrain,2)/8000))) val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") val st = FMat(scrtrain).t - val t = toc - println("Reading time=%3.2f seconds" format t) - val stt = zeros(256, size(st,2)) + val t2 = toc + println("Reading time=%3.2f+%3.2f seconds" format (t1,t2)) + val stt = zeros(16, size(st,2)) for (i<-0 until size(stt,1)) {stt(i,?) = st} flip runLinLearner(rt, stt) From f9d868f720ea9346e941afbdcb9e6accf77a24f2 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 01:36:27 -0700 Subject: [PATCH 005/385] first draft of LDA --- BIDMach.jar | Bin 53462 -> 67437 bytes src/main/scala/BIDMach/Learner.scala | 25 ++++---- src/main/scala/BIDMach/Optimizer.scala | 73 ----------------------- src/main/scala/BIDMach/Regression.scala | 27 +++++---- src/main/scala/BIDMach/TestLearner.scala | 31 ++++++---- 5 files changed, 52 insertions(+), 104 deletions(-) delete mode 100644 src/main/scala/BIDMach/Optimizer.scala diff --git a/BIDMach.jar b/BIDMach.jar index 73599ba256ed978f67500ce0d2234d97371fc2b1..d04e986aff385b3fd8104c0659900fc80c41a598 100755 GIT binary patch delta 53542 zcmZ^}V{m5C)-~F(ZFg)wv2EM7?d0i>ZQHh;j_q`8+ve?aZq`IKRnYurB9%sF0yY%{8T@ihM+|mAG 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qao$2uiMSvtls+K{iksVo@*o5;(h^|h&fN(g&Kqn9E@{ts?|%R^)hLw! diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index 912780fa..449cd969 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -6,14 +6,16 @@ import BIDMat.Plotting._ import Learner._ import scala.collection.immutable.List -case class Learner(datamat:Mat, targetmat:Mat, model:Model, regularizer:Regularizer, updater:Updater, val opts:Learner.Options = new Learner.Options) { +case class Learner(datamat:Mat, targetmat:Mat, datatest:Mat, targtest:Mat, + model:Model, regularizer:Regularizer, updater:Updater, val opts:Learner.Options = new Learner.Options) { val n = datamat.ncols val options = opts val nw = options.memwindow/options.blocksize val nww = options.convwindow/options.blocksize - var tscores:List[Float] = List() - var tsteps:List[Float] = List() + var tscores:List[Double] = List() + var tscorex:List[Double] = List() + var tsteps:List[Double] = List() def run() = { var done:Boolean = false @@ -43,18 +45,21 @@ case class Learner(datamat:Mat, targetmat:Mat, model:Model, regularizer:Regulari done = true } if (toc >= tsecs || done || (ipass == options.npasses-1 && i >= n)) { - println("pass=%d, i=%d t=%3.1f secs, ll=%5.4f, slope=%5.4g" format (ipass, i, tsecs, llest, llder)) - tscores = tscores :+ -llest.asInstanceOf[Float] - tsteps = tsteps :+ nsteps.asInstanceOf[Float] + val llx = model.gradfun(datatest, targtest) + println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f" format (ipass, nsteps/1000, tsecs, llest, llx)) + tscores = tscores :+ -llest + tscorex = tscorex :+ -llx + tsteps = tsteps :+ nsteps.asInstanceOf[Double] tsecs += options.secprint } } ipass += 1 } - val timeplot = plot(1->(tscores.size+1), row(tscores.toArray)) - val stepplot = plot(row(tsteps.toArray), row(tscores.toArray)) - timeplot.setTitle("Neg log likelihood vs time in seconds") - stepplot.setTitle("Neg log likelihood vs number of samples") + val xvals = irow(1->(tscores.size+1)) + val timeplot = plot(xvals, drow(tscores), xvals, drow(tscorex)) + val stepplot = plot(drow(tsteps), drow(tscores), drow(tsteps), drow(tscorex)) + timeplot.setTitle("Neg. log likelihood vs time in seconds") + stepplot.setTitle("Neg. log likelihood vs number of samples") } } diff --git a/src/main/scala/BIDMach/Optimizer.scala b/src/main/scala/BIDMach/Optimizer.scala deleted file mode 100644 index b21502e4..00000000 --- a/src/main/scala/BIDMach/Optimizer.scala +++ /dev/null @@ -1,73 +0,0 @@ -package BIDMach -import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} -import BIDMat.MatFunctions._ -import BIDMat.SciFunctions._ -import Learner._ - -trait Updater { - def update(step:Int):Unit -} - -class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updater.Options) extends Updater { - - var tmp0:Mat = null - var tmp1:Mat = null - var tmp2:Mat = null - - val modelmat = model.modelmat - val updatemat = model.updatemat - val options = opts - var nsteps = options.initnsteps - val sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq - - def update(step:Int):Unit = update1(step) - - def update1(step:Int):Unit = { - val nw = (options.gradwindow/step) - tmp0 = checkSize(tmp0, modelmat) - tmp1 = checkSize(tmp1, modelmat) - tmp2 = checkSize(tmp2, modelmat) - sumSq ~ (tmp1 ~ (tmp0 ~ updatemat *@ updatemat) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) - if (nsteps > options.waitsteps) { - sqrt(tmp0 ~ sumSq*nsteps, tmp1) - modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat /@ tmp1) * options.alpha) - } - nsteps += step - } - - def update2(step:Int):Unit = { - val nw = (options.gradwindow/step) - val fmodel = modelmat.asInstanceOf[FMat] - val fsumSq = sumSq.asInstanceOf[FMat] - val fupdate = updatemat.asInstanceOf[FMat] - val ftmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] - val ftmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] - - var i = 0 - while (i < modelmat.length) { - fsumSq.data(i) = 1/nw*(fupdate.data(i)*fupdate.data(i) + (nw-1)*fsumSq.data(i)) - ftmp0.data(i) = nsteps * fsumSq.data(i) - i += 1 - } - if (nsteps > options.waitsteps) { - sqrt(ftmp0, ftmp1) - i = 0 - while (i < modelmat.length) { - fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/ftmp1.data(i) - i += 1 - } - } - Mat.nflops += 8L * modelmat.length - nsteps += step - } -} - -object Updater { - class Options { - var gradwindow:Float = 1e6f - var alpha:Float = 100f - var initnsteps:Float = 1000f - var initsumsq:Float = 1e-4f - var waitsteps = 100000 - } -} \ No newline at end of file diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index aad1b0a1..bf18179c 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -1,4 +1,5 @@ package BIDMach + import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ @@ -34,6 +35,7 @@ class LinearRegModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Opti flls.data(i) = -diff * diff i += 1 } + Mat.nflops += 4L*targ.length } } @@ -59,10 +61,10 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio val ftarg = targ.asInstanceOf[FMat] val fpred = pred.asInstanceOf[FMat] val fgradw = gradw.asInstanceOf[FMat] - tfact = checkSize(tfact, ftarg).asInstanceOf[FMat] - ptfact = checkSize(ptfact, ftarg).asInstanceOf[FMat] - epred = checkSize(epred, ftarg).asInstanceOf[FMat] - lle = checkSize(lle, targ).asInstanceOf[FMat] + ftfact = checkSize(tfact, ftarg).asInstanceOf[FMat] + fptfact = checkSize(ptfact, ftarg).asInstanceOf[FMat] + fepred = checkSize(epred, ftarg).asInstanceOf[FMat] + flle = checkSize(lle, targ).asInstanceOf[FMat] var i = 0 while (i < ftarg.length) { @@ -70,7 +72,7 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio fptfact.data(i) = math.min(40f, fpred.data(i) * ftfact.data(i)) i+=1 } - exp(ptfact, fepred) + exp(fptfact, fepred) log1p(fepred, flle) lls ~ row(-1) * flle i = 0 @@ -99,7 +101,7 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio tmp0 = checkSize(tmp0, targ) tmp1 = checkSize(tmp1, targ) - tfact ~ row(1) - (tmp0 ~ row(2)*targ) + tfact ~ 1 - (tmp0 ~ 2*targ) min(40.0, tmp0 ~ tfact *@ pred, tmp1) exp(tmp1, epred) log1p(epred, tmp0) @@ -122,7 +124,8 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio } } -abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) extends Model(data0, target0, opts) { +abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) + extends Model(data0, target0, opts) { var modelmat:Mat = null var updatemat:Mat = null @@ -130,20 +133,22 @@ abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) exten def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit - def initmodel(data:Mat, target:Mat) = initmodelf(data, target) + override def initmodel(data:Mat, target:Mat):Mat = initmodelf(data, target) - def initmodelf(data:Mat, target:Mat) = { + def initmodelf(data:Mat, target:Mat):Mat = { val m = size(data, 1) val n = size(target, 1) modelmat = 0.1f*normrnd(0,1,m,n) updatemat = modelmat.zeros(m, n) + target } - def initmodelg(data:Mat, target:Mat) = { + def initmodelg(data:Mat, target:Mat):Mat = { val m = size(data, 1) val n = size(target, 1) modelmat = gnormrnd(0,1,n,m)*0.1f updatemat = modelmat.zeros(n, m) + target } var tpred:Mat = null @@ -153,7 +158,7 @@ abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) exten var data:Mat = null var target:Mat = null - def gradfun(idata:Mat, itarget:Mat):Double = { + override def gradfun(idata:Mat, itarget:Mat):Double = { (idata, itarget, modelmat) match { case (sdata:SMat, ftarget:FMat, gmodel:GMat) => { lls = checkSize(lls, itarget.nrows, itarget.ncols, modelmat) diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index a0ff1543..7b8e5602 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -6,26 +6,31 @@ import Learner._ object TestLearner { - def runLogLearner(rt:SMat, st:FMat) = { + def runLogLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { val model = new LogisticModel(rt, st) val regularizer = new L1Regularizer(model) val updater = new ADAGradUpdater(model) - val learner = Learner(rt, st > 4, model, regularizer, updater) + val learner = Learner(rt, st > 4, rtest, stest > 4, model, regularizer, updater) + regularizer.options.beta = 1e-7f + updater.options.alpha = 300f + updater.options.gradwindow = 1e6f + learner.options.npasses = 20 learner.run } - def runLinLearner(rt:SMat, st:FMat) = { + def runLinLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { val model = new LinearRegModel(rt, st) { override def initmodel(data:Mat, target:Mat) = initmodelf(data, target) override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) } val regularizer = new L1Regularizer(model) val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } - val learner = Learner(rt, st, model, regularizer, updater) - regularizer.options.beta = 1e-7f + val learner = Learner(rt, st, rtest, stest, model, regularizer, updater) + regularizer.options.beta = 1e-6f +// regularizer.options.beta = 1e-7f updater.options.alpha = 300f updater.options.gradwindow = 1e6f - learner.options.npasses = 50 + learner.options.npasses = 20 learner.run } @@ -34,16 +39,22 @@ object TestLearner { tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") + val revtest:SDMat = load(dirname+"part1.mat", "revtest") val t1 = toc; tic - val rt = SMat(revtrain)(0->40000,0->(8000*(size(revtrain,2)/8000))) + val rt = SMat(revtrain)(?,0->(8000*(size(revtrain,2)/8000))) + val rtest = SMat(revtest)(?,0->(8000*(size(revtest,2)/8000))) val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") + val scrtest:IMat = load(dirname+"part1.mat", "scrtest") val st = FMat(scrtrain).t + val stest = (FMat(scrtest).t)(?,0->(8000*(size(revtest,2)/8000))) val t2 = toc println("Reading time=%3.2f+%3.2f seconds" format (t1,t2)) - val stt = zeros(16, size(st,2)) - for (i<-0 until size(stt,1)) {stt(i,?) = st} + val ntargs = 16 + val stt = zeros(ntargs, size(st,2)) + val sttest = zeros(ntargs, size(stest,2)) + for (i<-0 until size(stt,1)) {stt(i,?) = st; sttest(i,?) = stest} flip - runLinLearner(rt, stt) + runLogLearner(rt, stt, rtest, sttest) val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) } From 0f448c93472adcf790339e39f2fa1275e5ee24fb Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 22:07:59 -0700 Subject: [PATCH 006/385] added eclipse data --- .classpath | 16 ++++++++++++++++ .project | 18 ++++++++++++++++++ 2 files changed, 34 insertions(+) create mode 100755 .classpath create mode 100755 .project diff --git a/.classpath b/.classpath new file mode 100755 index 00000000..afd298c9 --- /dev/null +++ b/.classpath @@ -0,0 +1,16 @@ + + + + + + + + + + + + + + + + diff --git a/.project b/.project new file mode 100755 index 00000000..4df1a6f3 --- /dev/null +++ b/.project @@ -0,0 +1,18 @@ + + + BIDMach + + + + + + org.scala-ide.sdt.core.scalabuilder + + + + + + org.scala-ide.sdt.core.scalanature + org.eclipse.jdt.core.javanature + + From 8d018c5aec6f0f4ac65acdbde6cf664a79fde66a Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 22:11:23 -0700 Subject: [PATCH 007/385] added new model files --- src/main/scala/BIDMach/FactorModel.scala | 91 ++++++++++++++++++++++++ src/main/scala/BIDMach/Regularizer.scala | 32 +++++++++ src/main/scala/BIDMach/TestHash.scala | 14 ++++ src/main/scala/BIDMach/Updater.scala | 74 +++++++++++++++++++ 4 files changed, 211 insertions(+) create mode 100755 src/main/scala/BIDMach/FactorModel.scala create mode 100755 src/main/scala/BIDMach/Regularizer.scala create mode 100755 src/main/scala/BIDMach/TestHash.scala create mode 100755 src/main/scala/BIDMach/Updater.scala diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala new file mode 100755 index 00000000..4bbbe870 --- /dev/null +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -0,0 +1,91 @@ +package BIDMach + +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(data0, opts) { + + def lossfn(preds:SMat, data:SMat):SMat = data.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + + def ldaf(v:Float):Float = { +// exp(psi(v)) + if (v > 1) { + v - 0.5f + } else { + 0.5f * v * v + } + } + + def uupdate(prod:FMat, user:FMat):Unit = { + var i = 0; while (i < prod.ncols) { + var j = 0; while (j < prod.nrows) { + val ji = j + i*prod.nrows + user.data(ji) = ldaf(user.data(ji)*prod.data(ji) + options.prior(j)) + j += 1} + i += 1} + } + + def likelihood(data:SMat, preds:SMat):Double = { + val vdat = row(data.data) + val vpreds = row(preds.data) + mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv + } +} + + +abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(data0, null, opts) { + + var modelmat:Mat = null + var updatemat:Mat = null + var usermat:Mat = null + val options = opts + + def lossfn(preds:SMat, data:SMat):SMat + + def uupdate(prod:FMat, user:FMat):Unit + + def likelihood(data:SMat, preds:SMat):Double + + override def initmodel(data:Mat, user:Mat):Mat = initmodelf(data, user) + + def initmodelf(data:Mat, user:Mat):Mat = { + val m = size(data, 1) + val n = size(data, 2) + val d = options.dim + modelmat = 0.1f*normrnd(0,1,d,m) + val out = 0.1f*normrnd(0,1,d,n) + updatemat = modelmat.zeros(d, m) + out + } + + usermat = initmodel(data0, null) + + override def gradfun(idata:Mat, iuser:Mat):Double = { + (idata, modelmat, iuser, updatemat) match { + case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { + var i = 0 + var fpreds:SMat = null + var loss:SMat = null + while (i < options.niter) { + fpreds = DDS(fmodel, fuser, sdata) + loss = lossfn(fpreds, sdata) + val prod = fmodel * loss + uupdate(prod, fuser) + } + fupdate ~ loss * fuser.t + likelihood(sdata, fpreds) + } + } + } +} + +object FactorModel { + class Options extends Model.Options { + var dim = 20 + var niter = 10 + var weps = 1e-10f + var prior:FMat = null + } +} diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala new file mode 100755 index 00000000..50d551a3 --- /dev/null +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -0,0 +1,32 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ + +abstract class Regularizer(val model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) { + val options = opts + def compute(step:Int) + val modelmat = model.modelmat + val updatemat = model.updatemat + var tmp0 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) + var tmp1 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) +} + +class L1Regularizer(model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { + def compute(step:Int) = { + sign(modelmat, tmp0) + updatemat ~ updatemat + (tmp1 ~ tmp0 * (-step * options.beta)) + } +} + +class L2Regularizer(model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { + def compute(step:Int) = { + updatemat ~ updatemat + (tmp1 ~ modelmat * (-options.beta * step)) + } +} + +object Regularizer { + class Options { + var beta:Float = 1e-7f + } +} diff --git a/src/main/scala/BIDMach/TestHash.scala b/src/main/scala/BIDMach/TestHash.scala new file mode 100755 index 00000000..6bca434a --- /dev/null +++ b/src/main/scala/BIDMach/TestHash.scala @@ -0,0 +1,14 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +object TestHash { + def main(args: Array[String]): Unit = { + + val dirname = "d:\\sentiment\\sorted_data\\books\\" + val smap:CSMat = load(dirname+"sparsemat.mat", "smap") + println("done "+size(smap,1)+" "+size(smap,2)) + } +} diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala new file mode 100755 index 00000000..20d524e5 --- /dev/null +++ b/src/main/scala/BIDMach/Updater.scala @@ -0,0 +1,74 @@ +package BIDMach + +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import Learner._ + +trait Updater { + def update(step:Int):Unit +} + +class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updater.Options) extends Updater { + + var tmp0:Mat = null + var tmp1:Mat = null + var tmp2:Mat = null + + val modelmat = model.modelmat + val updatemat = model.updatemat + val options = opts + var nsteps = options.initnsteps + val sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq + + def update(step:Int):Unit = update1(step) + + def update1(step:Int):Unit = { + val nw = (options.gradwindow/step) + tmp0 = checkSize(tmp0, modelmat) + tmp1 = checkSize(tmp1, modelmat) + tmp2 = checkSize(tmp2, modelmat) + sumSq ~ (tmp1 ~ (tmp0 ~ updatemat *@ updatemat) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) + if (nsteps > options.waitsteps) { + sqrt(tmp0 ~ sumSq*nsteps, tmp1) + modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat /@ tmp1) * options.alpha) + } + nsteps += step + } + + def update2(step:Int):Unit = { + val nw = (options.gradwindow/step) + val fmodel = modelmat.asInstanceOf[FMat] + val fsumSq = sumSq.asInstanceOf[FMat] + val fupdate = updatemat.asInstanceOf[FMat] + val ftmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] + val ftmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] + + var i = 0 + while (i < modelmat.length) { + fsumSq.data(i) = 1/nw*(fupdate.data(i)*fupdate.data(i) + (nw-1)*fsumSq.data(i)) + ftmp0.data(i) = nsteps * fsumSq.data(i) + i += 1 + } + if (nsteps > options.waitsteps) { + sqrt(ftmp0, ftmp1) + i = 0 + while (i < modelmat.length) { + fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/ftmp1.data(i) + i += 1 + } + } + Mat.nflops += 8L * modelmat.length + nsteps += step + } +} + +object Updater { + class Options { + var gradwindow:Float = 1e6f + var alpha:Float = 100f + var initnsteps:Float = 1000f + var initsumsq:Float = 1e-4f + var waitsteps = 100000 + } +} From 8538f681d2b311da71705644eb201e74339f99aa Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 22:19:29 -0700 Subject: [PATCH 008/385] added new model files --- src/main/scala/BIDMach/Model.scala | 55 ++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100755 src/main/scala/BIDMach/Model.scala diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala new file mode 100755 index 00000000..97622f2d --- /dev/null +++ b/src/main/scala/BIDMach/Model.scala @@ -0,0 +1,55 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ + +abstract class Model(data0:Mat, target0:Mat, opts:Model.Options) { + + def initmodel(data:Mat, target:Mat):Mat + + def gradfun(data:Mat, target:Mat):Double + +} + + +object Model { + class Options { + } + + def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { + if (a.asInstanceOf[AnyRef] != null && a.nrows == nr && a.ncols == nc) { + a + } else { + b.zeros(nr, nc) + } + } + + def checkSize(a:Mat, b:Mat):Mat = checkSize(a, b.nrows, b.ncols, b) + + def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] + + def mapfun2x2(fn:(Float, Float)=>(Float, Float), in0:FMat, in1:FMat, out0:FMat, out1:FMat) = { + if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || in0.nrows != out1.nrows || + in0.ncols != in1.ncols || in0.ncols != out0.ncols || in0.ncols != out1.ncols) { + throw new RuntimeException("dimensions mismatch") + } + var i = 0 + while (i < in0.length) { + val (v1, v2) = fn(in0.data(i), in1.data(i)) + out0.data(i) = v1 + out1.data(i) = v2 + i += 1 + } + } + def mapfun2x1(fn:(Float, Float)=>Float, in0:FMat, in1:FMat, out0:FMat) = { + if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || + in0.ncols != in1.ncols || in0.ncols != out0.ncols) { + throw new RuntimeException("dimensions mismatch") + } + var i = 0 + while (i < in0.length) { + out0.data(i) = fn(in0.data(i), in1.data(i)) + i += 1 + } + } +} From 557b748fdc2c73b78b81360a62cac821c5ceaa1f Mon Sep 17 00:00:00 2001 From: "U-johnwork\\jfc" Date: Sat, 3 Nov 2012 23:20:35 -0700 Subject: [PATCH 009/385] changes to factormodel --- src/main/scala/BIDMach/FactorModel.scala | 64 +++++++++++------------- 1 file changed, 30 insertions(+), 34 deletions(-) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index 4bbbe870..c4c1436e 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -7,34 +7,34 @@ import Learner._ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(data0, opts) { - def lossfn(preds:SMat, data:SMat):SMat = data.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - - def ldaf(v:Float):Float = { -// exp(psi(v)) - if (v > 1) { - v - 0.5f - } else { - 0.5f * v * v - } - } - - def uupdate(prod:FMat, user:FMat):Unit = { + def uupdate(sdata:SMat, model:FMat, user:FMat):Unit = { + val preds = DDS(model, user, sdata) + val loss = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + val prod = model * loss var i = 0; while (i < prod.ncols) { var j = 0; while (j < prod.nrows) { val ji = j + i*prod.nrows - user.data(ji) = ldaf(user.data(ji)*prod.data(ji) + options.prior(j)) + val v = user.data(ji)*prod.data(ji) + options.prior(j) + user.data(ji) = + if (v > 1) { + v - 0.5f + } else { + 0.5f * v * v + } j += 1} i += 1} } - - def likelihood(data:SMat, preds:SMat):Double = { - val vdat = row(data.data) + + def mupdate(sdata:SMat, model:FMat, user:FMat, update:FMat) = { + val preds = DDS(model, user, sdata) + val loss = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + update ~ (loss * user.t).t - sum(user,2) * ones(1,size(user,2)) + val vdat = row(sdata.data) val vpreds = row(preds.data) - mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv + mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv } } - abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(data0, null, opts) { var modelmat:Mat = null @@ -42,12 +42,6 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d var usermat:Mat = null val options = opts - def lossfn(preds:SMat, data:SMat):SMat - - def uupdate(prod:FMat, user:FMat):Unit - - def likelihood(data:SMat, preds:SMat):Double - override def initmodel(data:Mat, user:Mat):Mat = initmodelf(data, user) def initmodelf(data:Mat, user:Mat):Mat = { @@ -55,27 +49,29 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d val n = size(data, 2) val d = options.dim modelmat = 0.1f*normrnd(0,1,d,m) - val out = 0.1f*normrnd(0,1,d,n) + val out = if (user.asInstanceOf[AnyRef] == null) { + 0.1f*normrnd(0,1,d,n) + } else{ + user + } updatemat = modelmat.zeros(d, m) out } - usermat = initmodel(data0, null) + usermat = initmodel(data0, null) + + def uupdate(data:SMat, prod:FMat, user:FMat):Unit + + def mupdate(sdata:SMat, fmodel:FMat, user:FMat, update:FMat):Double override def gradfun(idata:Mat, iuser:Mat):Double = { (idata, modelmat, iuser, updatemat) match { case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { var i = 0 - var fpreds:SMat = null - var loss:SMat = null while (i < options.niter) { - fpreds = DDS(fmodel, fuser, sdata) - loss = lossfn(fpreds, sdata) - val prod = fmodel * loss - uupdate(prod, fuser) + uupdate(sdata, fmodel, fuser) } - fupdate ~ loss * fuser.t - likelihood(sdata, fpreds) + mupdate(sdata, fmodel, fuser, fupdate) } } } From 915dfe31d947c8b381b09a4e941163657746abfc Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 23:34:43 -0700 Subject: [PATCH 010/385] changes to factormodel --- src/main/scala/BIDMach/FactorModel.scala | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index c4c1436e..e15a3e1f 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -9,8 +9,8 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e def uupdate(sdata:SMat, model:FMat, user:FMat):Unit = { val preds = DDS(model, user, sdata) - val loss = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - val prod = model * loss + val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + val prod = model * prat var i = 0; while (i < prod.ncols) { var j = 0; while (j < prod.nrows) { val ji = j + i*prod.nrows @@ -19,7 +19,7 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e if (v > 1) { v - 0.5f } else { - 0.5f * v * v + 0.5f * v * v } j += 1} i += 1} @@ -27,8 +27,8 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e def mupdate(sdata:SMat, model:FMat, user:FMat, update:FMat) = { val preds = DDS(model, user, sdata) - val loss = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - update ~ (loss * user.t).t - sum(user,2) * ones(1,size(user,2)) + val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + update ~ (prat * user.t).t - sum(user,2) * ones(1,size(user,2)) val vdat = row(sdata.data) val vpreds = row(preds.data) mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv @@ -60,6 +60,8 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d usermat = initmodel(data0, null) + def initupdate(data:SMat, prod:FMat) = {} + def uupdate(data:SMat, prod:FMat, user:FMat):Unit def mupdate(sdata:SMat, fmodel:FMat, user:FMat, update:FMat):Double @@ -68,6 +70,7 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d (idata, modelmat, iuser, updatemat) match { case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { var i = 0 + initupdate(sdata, fmodel) while (i < options.niter) { uupdate(sdata, fmodel, fuser) } From 6886cfa2efab7353fc8e5ac57d595e5890f15fe7 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 3 Nov 2012 23:51:37 -0700 Subject: 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zi0DW@Ok)E=j`td+g@d%nhWPpS7~$_5;?GJZ#q11XHM4Nj$F$*@d~N;;1mdK^sv}R% zr8*$AL}M2Lyr;sI@tKNAxqcC4snm8H6L}`j7Ut9!ltH#*-^-{~h1>Bou#~kR!x4@E zP+&YFLWXR|9&MT#B;mw}(}&q95h3y}Nsp`A(IAb9Qh!m~CxZYJAS=A?Itnr8;64kN zNQgxu>vHaAH2I4YZp6g63TINc9sO94lCC;P35kZxaeDPtzxt*h_9=woI|TG*5Qw3R z?)R&QO1w}Yd*&GhG9R%2BollO@idb>%o}$!x(nPaNKZ}sFMbn_K9To`HRaG<#2>Me zXk0rSf%1s2(PYKWPy7%0Im8LVUb>0fGx9h`A8O>lDorHi2q4LU%^Z*TcSlxA+nh!Y Y$yPvy4y+!`A1&271nCcM&11EH11s6GMgRZ+ diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index e15a3e1f..0b16e314 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -60,7 +60,7 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d usermat = initmodel(data0, null) - def initupdate(data:SMat, prod:FMat) = {} + def initupdate(data:SMat, prod:FMat) = {} def uupdate(data:SMat, prod:FMat, user:FMat):Unit From 0db3a50383034a8cf8d47af67ca73d5c4989c14d Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 6 Nov 2012 03:05:06 -0800 Subject: [PATCH 012/385] fixes to support recycling --- src/main/scala/BIDMach/FactorModel.scala | 126 +++++++++++++------- src/main/scala/BIDMach/Learner.scala | 12 +- src/main/scala/BIDMach/Model.scala | 2 + src/main/scala/BIDMach/Regression.scala | 143 +++++++++++++---------- src/main/scala/BIDMach/TestLearner.scala | 23 +++- src/main/scala/BIDMach/Updater.scala | 10 +- 6 files changed, 195 insertions(+), 121 deletions(-) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index 0b16e314..bfbaa0a9 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -5,33 +5,77 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import Learner._ + +class NMFmodel(data0:SMat, opts:FactorModel.Options = new NMFmodel.Options) extends FactorModel(data0, opts) { + + var modeldata:Mat = null + var mmodelt:Mat = null + var maxeps:Mat = null + var mmodeltuser:Mat = null + var quot:Mat = null + var ud:Mat = null + var uu:Mat = null + var uum:Mat = null + + override def initupdate(sdata:Mat, model:Mat, user:Mat) = { + modeldata = recycleTry(modeldata, user) ~ model * sdata + mmodelt = recycleTry(mmodelt, d, d, model) ~ model * model.t + } + + override def uupdate(sdata:Mat, model:Mat, user:Mat):Unit = { + val NMFeps = options.asInstanceOf[NMFmodel.Options].NMFeps + maxeps = recycleTry(maxeps, mmodelt) + maxeps = max(NMFeps, mmodelt, maxeps):Mat + mmodeltuser = recycleTry(mmodeltuser, user) ~ maxeps * user + quot = recycleTry(quot, user) ~ modeldata /@ mmodeltuser + user ~ user *@ quot + } + + override def mupdate(sdata:Mat, model:Mat, user:Mat, update:Mat) = { + ud = recycleTry(ud, model) ~ user xT sdata + uu = recycleTry(uu, d, d, model) ~ user * user.t + uum = recycleTry(uum, model) ~ uu * model + update ~ ud - uum + val diff = sum(sdata,2) - (sum(user,2).t * model).t + mean(diff *@ diff).dv + } +} + class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(data0, opts) { - def uupdate(sdata:SMat, model:FMat, user:FMat):Unit = { - val preds = DDS(model, user, sdata) - val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - val prod = model * prat - var i = 0; while (i < prod.ncols) { - var j = 0; while (j < prod.nrows) { - val ji = j + i*prod.nrows - val v = user.data(ji)*prod.data(ji) + options.prior(j) - user.data(ji) = - if (v > 1) { - v - 0.5f - } else { - 0.5f * v * v - } - j += 1} - i += 1} + override def uupdate(data:Mat, model:Mat, user:Mat):Unit = { + (data, model, user) match { + case (sdata:SMat, fmodel:FMat, fuser:FMat) => { + val preds = DDS(fmodel, fuser, sdata) + val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + val prod = fmodel * prat + var i = 0; while (i < prod.ncols) { + var j = 0; while (j < prod.nrows) { + val ji = j + i*prod.nrows + val v = fuser.data(ji)*prod.data(ji) + options.prior(j) + fuser.data(ji) = + if (v > 1) { + v - 0.5f + } else { + 0.5f * v * v + } + j += 1} + i += 1} + } + } } - def mupdate(sdata:SMat, model:FMat, user:FMat, update:FMat) = { - val preds = DDS(model, user, sdata) - val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - update ~ (prat * user.t).t - sum(user,2) * ones(1,size(user,2)) - val vdat = row(sdata.data) - val vpreds = row(preds.data) - mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv + override def mupdate(data:Mat, model:Mat, user:Mat, update:Mat) = { + (data, model, user, update) match { + case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { + val preds = DDS(fmodel, fuser, sdata) + val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + fupdate ~ (prat * fuser.t).t - sum(fuser,2) * ones(1,size(fuser,2)) + val vdat = row(sdata.data) + val vpreds = row(preds.data) + mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv + } + } } } @@ -41,13 +85,14 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d var updatemat:Mat = null var usermat:Mat = null val options = opts + var d = 0 override def initmodel(data:Mat, user:Mat):Mat = initmodelf(data, user) def initmodelf(data:Mat, user:Mat):Mat = { val m = size(data, 1) val n = size(data, 2) - val d = options.dim + d = options.dim modelmat = 0.1f*normrnd(0,1,d,m) val out = if (user.asInstanceOf[AnyRef] == null) { 0.1f*normrnd(0,1,d,n) @@ -60,24 +105,27 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d usermat = initmodel(data0, null) - def initupdate(data:SMat, prod:FMat) = {} + def initupdate(data:Mat, model:Mat, user:Mat) = {} - def uupdate(data:SMat, prod:FMat, user:FMat):Unit + def uupdate(data:Mat, model:Mat, user:Mat):Unit - def mupdate(sdata:SMat, fmodel:FMat, user:FMat, update:FMat):Double + def mupdate(sdata:Mat, model:Mat, user:Mat, update:Mat):Double - override def gradfun(idata:Mat, iuser:Mat):Double = { - (idata, modelmat, iuser, updatemat) match { - case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { - var i = 0 - initupdate(sdata, fmodel) - while (i < options.niter) { - uupdate(sdata, fmodel, fuser) - } - mupdate(sdata, fmodel, fuser, fupdate) - } - } - } + override def gradfun(data:Mat, user:Mat):Double = { + var i = 0 + initupdate(data, modelmat, user) + while (i < options.niter) { + uupdate(data, modelmat, user) + } + mupdate(data, modelmat, user, updatemat) + } + +} + +object NMFmodel { + class Options extends FactorModel.Options { + var NMFeps = 1e-9 + } } object FactorModel { diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index 449cd969..c7add08e 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -23,7 +23,7 @@ case class Learner(datamat:Mat, targetmat:Mat, datatest:Mat, targtest:Mat, var llest:Double = 0 var llder:Double = 0 var llold:Double = 0 - var tsecs:Double = 1 + var tsecs:Double = options.secprint var nsteps:Long = 0 tic while (ipass < options.npasses && ! done) { @@ -74,16 +74,6 @@ object Learner { var secprint:Double = 1 var eps:Float = 1e-8f } - - def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { - if (a.asInstanceOf[AnyRef] != null && a.nrows == nr && a.ncols == nc) { - a - } else { - b.zeros(nr, nc) - } - } - - def checkSize(a:Mat, b:Mat):Mat = checkSize(a, b.nrows, b.ncols, b) def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index 97622f2d..ee3676bc 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -14,6 +14,8 @@ abstract class Model(data0:Mat, target0:Mat, opts:Model.Options) { object Model { class Options { + var nzPerColumn:Int = 0 + var startBlock = 8000 } def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index bf18179c..c5a0c164 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -5,7 +5,8 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import Learner._ -class LinearRegModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Options) extends RegressionModel(data0, target0, opts) { +class LinearRegModel(data0:Mat, target0:Mat, opts:RegressionModel.Options = new RegressionModel.Options) +extends RegressionModel(data0, target0, opts) { var tmp0:Mat = null var diff:Mat = null @@ -13,8 +14,8 @@ class LinearRegModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Opti def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { - diff = checkSize(diff, targ) - tmp0 = checkSize(tmp0, targ) + diff = recycleTry(diff, targ) + tmp0 = recycleTry(tmp0, targ) diff ~ targ - pred tmp0 ~ diff *@ diff @@ -39,7 +40,8 @@ class LinearRegModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Opti } } -class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Options) extends RegressionModel(data0, target0, opts) { +class LogisticModel(data0:Mat, target0:Mat, opts:RegressionModel.Options = new RegressionModel.Options) +extends RegressionModel(data0, target0, opts) { def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = logisticMap1(targ, pred, lls, gradw) @@ -61,10 +63,10 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio val ftarg = targ.asInstanceOf[FMat] val fpred = pred.asInstanceOf[FMat] val fgradw = gradw.asInstanceOf[FMat] - ftfact = checkSize(tfact, ftarg).asInstanceOf[FMat] - fptfact = checkSize(ptfact, ftarg).asInstanceOf[FMat] - fepred = checkSize(epred, ftarg).asInstanceOf[FMat] - flle = checkSize(lle, targ).asInstanceOf[FMat] + ftfact = recycleTry(tfact, ftarg).asInstanceOf[FMat] + fptfact = recycleTry(ptfact, ftarg).asInstanceOf[FMat] + fepred = recycleTry(epred, ftarg).asInstanceOf[FMat] + flle = recycleTry(lle, targ).asInstanceOf[FMat] var i = 0 while (i < ftarg.length) { @@ -96,10 +98,10 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio } def logisticMap3(targ:Mat, pred:Mat, lls:Mat, gradw:Mat) = { - tfact = checkSize(tfact, targ) - epred = checkSize(epred, targ) - tmp0 = checkSize(tmp0, targ) - tmp1 = checkSize(tmp1, targ) + tfact = recycleTry(tfact, targ) + epred = recycleTry(epred, targ) + tmp0 = recycleTry(tmp0, targ) + tmp1 = recycleTry(tmp1, targ) tfact ~ 1 - (tmp0 ~ 2*targ) min(40.0, tmp0 ~ tfact *@ pred, tmp1) @@ -110,10 +112,10 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio } def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { - ftfact = checkSize(tfact, targ).asInstanceOf[FMat] - fptfact = checkSize(ptfact, targ).asInstanceOf[FMat] - fepred = checkSize(epred, targ).asInstanceOf[FMat] - lle = checkSize(lle, targ).asInstanceOf[FMat] + ftfact = recycleTry(tfact, targ).asInstanceOf[FMat] + fptfact = recycleTry(ptfact, targ).asInstanceOf[FMat] + fepred = recycleTry(epred, targ).asInstanceOf[FMat] + lle = recycleTry(lle, targ).asInstanceOf[FMat] Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, ftfact, fptfact) exp(fptfact, fepred) @@ -124,68 +126,89 @@ class LogisticModel(data0:Mat, target0:Mat, opts:Model.Options = new Model.Optio } } -abstract class RegressionModel(data0:Mat, target0:Mat, opts:Model.Options) +abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Options) extends Model(data0, target0, opts) { + + val options = opts var modelmat:Mat = null - var updatemat:Mat = null - initmodel(data0, target0) + var updatemat:Mat = null + var data:Mat = null + var target:Mat = null + var ttarget:Mat = null + var lls:Mat = null + var tpred:Mat = null + var gradw:Mat = null def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit override def initmodel(data:Mat, target:Mat):Mat = initmodelf(data, target) - def initmodelf(data:Mat, target:Mat):Mat = { + def initmodelf(data:Mat, target:Mat) = { val m = size(data, 1) val n = size(target, 1) - modelmat = 0.1f*normrnd(0,1,m,n) - updatemat = modelmat.zeros(m, n) + if (options.transpose) { + modelmat = 0.1f*normrnd(0,1,m,n) + updatemat = modelmat.zeros(m,n) + } else { + modelmat = 0.1f*normrnd(0,1,n,m) + updatemat = modelmat.zeros(n,m) + } target } - def initmodelg(data:Mat, target:Mat):Mat = { - val m = size(data, 1) - val n = size(target, 1) - modelmat = gnormrnd(0,1,n,m)*0.1f - updatemat = modelmat.zeros(n, m) + def initmodelg(data0:Mat, target0:Mat):Mat = { + val m = size(data0, 1) + val n = size(target0, 1) + val k = options.startBlock + if (options.transpose) { + modelmat = gnormrnd(0,1,m,n)*0.1f + updatemat = modelmat.zeros(m,n) + } else { + modelmat = gnormrnd(0,1,n,m)*0.1f + updatemat = modelmat.zeros(n, m) + } + data = GSMat(m, k, k * options.nzPerColumn) + target = GMat(n, k) target } - var tpred:Mat = null - var ttarget:Mat = null - var lls:Mat = null - var gradw:Mat = null - var data:Mat = null - var target:Mat = null - override def gradfun(idata:Mat, itarget:Mat):Double = { - (idata, itarget, modelmat) match { - case (sdata:SMat, ftarget:FMat, gmodel:GMat) => { - lls = checkSize(lls, itarget.nrows, itarget.ncols, modelmat) - tpred = checkSize(tpred, lls) - gradw = checkSize(gradw, lls) - - data = GSMat(sdata) - target = GMat(ftarget) - tpred ~ gmodel * data; - regfn(target, tpred, lls, gradw) - updatemat ~ gradw xT data - target.asInstanceOf[GMat].free - data.asInstanceOf[GSMat].free - mean(mean(lls,2)).dv - } - case (sdata:SMat, ftarget:FMat, fmodel:FMat) => { - ttarget = checkSize(ttarget, itarget.ncols, itarget.nrows, itarget) - lls = checkSize(lls, ttarget) - tpred = checkSize(tpred, ttarget) - gradw = checkSize(gradw, ttarget) - ttarget ~ ftarget t; - tpred ~ sdata Tx fmodel - regfn(ttarget, tpred, lls, gradw) - updatemat ~ sdata * gradw - mean(mean(lls,1)).dv - } + if (options.transpose) { + ttarget = recycleTry(ttarget, itarget.ncols, itarget.nrows, itarget) + ttarget ~ itarget t; + } else { + ttarget = itarget + } + lls = recycleTry(lls, ttarget.nrows, ttarget.ncols, modelmat) + tpred = recycleTry(tpred, lls) + gradw = recycleTry(gradw, lls) + modelmat match { + case m:GMat => { + data = GSMat.fromSMat(idata.asInstanceOf[SMat], data.asInstanceOf[GSMat]) + target = GMat.fromFMat(itarget.asInstanceOf[FMat], target.asInstanceOf[GMat]) + } + case m:FMat => { + data = idata + target = ttarget } + } + if (options.transpose) { + tpred ~ data Tx modelmat + regfn(target, tpred, lls, gradw) + updatemat ~ data * gradw + mean(mean(lls,1)).dv + } else { + tpred ~ modelmat * data; + regfn(target, tpred, lls, gradw) + updatemat ~ gradw xT data + mean(mean(lls,2)).dv + } } } +object RegressionModel { + class Options extends Model.Options { + var transpose = true + } +} diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 7b8e5602..71cbeb94 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -20,29 +20,35 @@ object TestLearner { def runLinLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { val model = new LinearRegModel(rt, st) { - override def initmodel(data:Mat, target:Mat) = initmodelf(data, target) + override def initmodel(data:Mat, target:Mat) = initmodelg(data, target) override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) } + model.options.nzPerColumn = 400 + model.options.transpose = false + model.initmodel(rt, st) val regularizer = new L1Regularizer(model) val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } val learner = Learner(rt, st, rtest, stest, model, regularizer, updater) regularizer.options.beta = 1e-6f -// regularizer.options.beta = 1e-7f - updater.options.alpha = 300f +// regularizer.options.beta = 1e-7f + updater.options.alpha = 200f updater.options.gradwindow = 1e6f + learner.options.npasses = 20 + learner.options.secprint = 0.5 learner.run } def main(args: Array[String]): Unit = { + val ntest = args(0).toInt Mat.checkCUDA tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") val revtest:SDMat = load(dirname+"part1.mat", "revtest") val t1 = toc; tic - val rt = SMat(revtrain)(?,0->(8000*(size(revtrain,2)/8000))) - val rtest = SMat(revtest)(?,0->(8000*(size(revtest,2)/8000))) + val rt = SMat(revtrain)(0->40000,0->(8000*(size(revtrain,2)/8000))) + val rtest = SMat(revtest)(0->40000,0->(8000*(size(revtest,2)/8000))) val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") val scrtest:IMat = load(dirname+"part1.mat", "scrtest") val st = FMat(scrtrain).t @@ -54,7 +60,12 @@ object TestLearner { val sttest = zeros(ntargs, size(stest,2)) for (i<-0 until size(stt,1)) {stt(i,?) = st; sttest(i,?) = stest} flip - runLogLearner(rt, stt, rtest, sttest) + ntest match { + case 1 => runLinLearner(rt, stt, rtest, sttest) + case 2 => runLogLearner(rt, stt, rtest, sttest) + } + + val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index 20d524e5..b3a932c4 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -25,9 +25,9 @@ class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updat def update1(step:Int):Unit = { val nw = (options.gradwindow/step) - tmp0 = checkSize(tmp0, modelmat) - tmp1 = checkSize(tmp1, modelmat) - tmp2 = checkSize(tmp2, modelmat) + tmp0 = recycleTry(tmp0, modelmat) + tmp1 = recycleTry(tmp1, modelmat) + tmp2 = recycleTry(tmp2, modelmat) sumSq ~ (tmp1 ~ (tmp0 ~ updatemat *@ updatemat) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) if (nsteps > options.waitsteps) { sqrt(tmp0 ~ sumSq*nsteps, tmp1) @@ -41,8 +41,8 @@ class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updat val fmodel = modelmat.asInstanceOf[FMat] val fsumSq = sumSq.asInstanceOf[FMat] val fupdate = updatemat.asInstanceOf[FMat] - val ftmp0 = checkSize(tmp0, fmodel).asInstanceOf[FMat] - val ftmp1 = checkSize(tmp1, fmodel).asInstanceOf[FMat] + val ftmp0 = recycleTry(tmp0, fmodel).asInstanceOf[FMat] + val ftmp1 = recycleTry(tmp1, fmodel).asInstanceOf[FMat] var i = 0 while (i < modelmat.length) { From 34d307127891b9bdf177e8010f604b748750f326 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 6 Nov 2012 14:04:52 -0800 Subject: [PATCH 013/385] NMF mostly working --- BIDMach.jar | Bin 56955 -> 67514 bytes src/main/scala/BIDMach/FactorModel.scala | 59 +++++++++++++---------- src/main/scala/BIDMach/Learner.scala | 8 +-- src/main/scala/BIDMach/Model.scala | 3 ++ src/main/scala/BIDMach/Regression.scala | 5 +- src/main/scala/BIDMach/Regularizer.scala | 12 ++--- src/main/scala/BIDMach/TestLearner.scala | 26 +++++++++- src/main/scala/BIDMach/Updater.scala | 2 +- 8 files changed, 73 insertions(+), 42 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 66d6b147c1a7d7deb365ed4841b8682c32afa0b1..4af53d387ba762932e68e93ff2df9ca0835fa3d5 100755 GIT binary patch delta 59402 zcmZU*V{{-lUV*Y>M5U$!J$(9Z`X=e-?U~)AzwlfYW(a^QsV!;UTAo+VBuo;)NZXAQU zy5LcwpI=fxU&b1CG9IZZ<-u6OM1Ss>SKC@x!f1*t)GFkE8eq0U(7}5?Cg)Q!KBm2S1Lk^Z0$wQTr8P(LuC%|VT zzhnV{SQ$3UCUR=yd$$dX>EL;b9<}mH_6&lfpIVjEJ`Rn;fEamyJi!vBD|jNQU_R7a zsiGwrV?`&U9P}*GkQ(x;F4c4_u&J773a=HUxNGhfQKGJo$Hsq|Jn4h0jF}TrX+2NZ zcx~bAcnuf)E6N0m?Eya=OSX|F(BBMC0_9d4(__7dLGjL{D+D{%(uN#uThQkPTNvdS z$t}AX^P=Fn9WBQJR$udaI1_9IMPzb~r%!j>i88@0!@YQ#+8kP1Esx_Fkm+=p%V$XU zq}%mxJ4^~d9gt=%4JzRHmC!1sT?~h7fxc-|Rs3VV`C9G!zGgOTs6;+JTK#*NZun-l zrmT98veUYZH9J;185}#g+xZlBK^_Ma7tOMxIQl zS@3%iCvT;1RDjB!ZzG`z@Enj*L4HMb&p5;!lN`t7BlkR?-&1Onj87uU3fW?}Ry>S? z_O_l@IP5mE=7H6JB#Z@HkRUGlJx+}v(~ObG*OnK~2I80h=eSNv2cM+Esp(vfF*+|= 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load(dirname+"xpart1.mat", "revtrain") val revtest:SMat = load(dirname+"xpart1.mat", "revtest") val t1 = toc; tic @@ -116,7 +115,8 @@ object TestLearner { def main(args: Array[String]): Unit = { val ntest = args(0).toInt + val dirname = args(1) Mat.checkCUDA - runtest(ntest) + runtest(ntest, dirname) } } From 1f0ac089dbd60e335fa319b4b6de086e89216a24 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 20:01:26 -0800 Subject: [PATCH 017/385] multithreads --- BIDMach.jar | Bin 97297 -> 98407 bytes src/main/scala/BIDMach/Learner.scala | 4 ++-- src/main/scala/BIDMach/TestLearner.scala | 16 +++++++++------- 3 files changed, 11 insertions(+), 9 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 9b82d17a949cba57cf3f3f7c7d6d7421e5c8c5de..374313b522616526ac721787d1d90fcfd06ee112 100755 GIT binary patch delta 15497 zcmZX*bwC_j%s0&9?rz21-Q8V_yBBw7aVS=NffjdnDems>PATpb=cD&|<=*$({o~|h zf62-0%;aQ}Nx}ovVIVZ3iaZ1)CKxO%EEri%E#ka3IA%@~kN`hPSr5G)S%(t*f6eQa z^}zq3)eYo;BDrRdgYX 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Y<_iRnql!U@L9}8*KuFjCKE68t2mi^N!vFvP diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index 73b12b09..4d81c0ae 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -120,7 +120,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, val done = zeros(numthreads,1) // var ithread = 0 for (ithread <- 0 until numthreads) { - // scala.actors.Actor.actor { + scala.actors.Actor.actor { device(ithread) if (ithread > 0) models(ithread).modelmat <-- model.modelmat val iloc = ipos + ithread*blocksize @@ -140,7 +140,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, } done(ithread) = 1 // println("done %d" format ithread) -// } + } } // println("got here 5") while (sum(done).dv < numthreads) {Thread.sleep(10)} diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 6c7cc468..a5ec626c 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -7,7 +7,7 @@ import Learner._ object TestLearner { - def runNMFLearner(rt:SMat, rtest:SMat):Learner = { + def runNMFLearner(rt:SMat, rtest:SMat, nthreads:Int):Learner = { val model = new NMFmodel() model.options.dim = 256 model.options.uiter = 4 @@ -27,7 +27,7 @@ object TestLearner { learner.options.npasses = 4 learner.options.secprint = 100 learner.options.blocksize = 8000 //size(rt,2)//40000 // - learner.options.numGPUthreads = 4 + learner.options.numGPUthreads = nthreads learner.runpar learner } @@ -72,7 +72,7 @@ object TestLearner { learner } - def runtest(ntest:Int, dirname:String):Learner = { + def runtest(dirname:String, ntest:Int, nthreads:Int):Learner = { tic val revtrain:SMat = load(dirname+"xpart1.mat", "revtrain") val revtest:SMat = load(dirname+"xpart1.mat", "revtest") @@ -93,7 +93,7 @@ object TestLearner { val learner:Learner = ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) - case 3 => runNMFLearner(rt , rtest) + case 3 => runNMFLearner(rt , rtest, nthreads) } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) @@ -114,9 +114,11 @@ object TestLearner { def main(args: Array[String]): Unit = { - val ntest = args(0).toInt - val dirname = args(1) + val dirname = args(0) + val ntest = args(1).toInt + val nthreads = args(2).toInt + Mat.checkCUDA - runtest(ntest, dirname) + runtest(dirname, ntest, nthreads) } } From e01ca063cd13adb96fe09d58ac0690ccf66f81e1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 20:08:19 -0800 Subject: [PATCH 018/385] final GPU threads --- BIDMach.jar | Bin 98407 -> 98475 bytes src/main/scala/BIDMach/TestLearner.scala | 16 +++++++++------- 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 374313b522616526ac721787d1d90fcfd06ee112..ebfa32ec0792a2e6968ff10003b11bb6cc89434f 100755 GIT binary patch delta 8655 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size(stt,1)) {stt(i,?) = st; sttest(i,?) = stest} @@ -93,7 +93,7 @@ object TestLearner { val learner:Learner = ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) - case 3 => runNMFLearner(rt , rtest, nthreads) + case 3 => runNMFLearner(rt , rtest, ndims, nthreads) } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) @@ -116,9 +116,11 @@ object TestLearner { def main(args: Array[String]): Unit = { val dirname = args(0) val ntest = args(1).toInt - val nthreads = args(2).toInt + val ndims = args(2).toInt + val nthreads = args(3).toInt + Mat.checkCUDA - runtest(dirname, ntest, nthreads) + runtest(dirname, ntest, ndims, nthreads) } } From e111a212aee10d5bbb0cc169e54c021f50f71d9a Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 21:34:32 -0800 Subject: [PATCH 019/385] changed updates to addition --- BIDMach.jar | Bin 98475 -> 98180 bytes src/main/scala/BIDMach/Learner.scala | 17 ++++++++--------- 2 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z3IhIt9daC7!n7bj5thPr?65#NoB-M10A6T6gb-a&2x0Ykxf6&D+LZlQu`Pt4n1_UBLI|rP)sHO;q!LO< zz&$<4GZeT&{9PY_R`duuCs~^dB}9uef(}CgBrMYuLf#=*xf@U 0) { - model.updatemat <-- models(ithread).updatemat - nmodel.updateDenom <-- models(ithread).updateDenom - } - updater.update(iend-iloc) - llest = (1/(nw+1))*(tlls(ithread) + nw*llest) + iend = math.min(n, iloc+blocksize) + model.updatemat ~ model.updatemat + models(ithread).updatemat + nmodel.updateDenom ~ nmodel.updateDenom + models(ithread).updateDenom } + updater.update(iend-ipos) + llest = (1/(nw+1))*(mean(tlls).dv + nw*llest) ipos += numthreads*blocksize if (toc >= tsecs || (ipos >= n)) { val tmp = model.asInstanceOf[FactorModel].options.uiter From a0b9c3b8a5a282ecf776100f65900bad188bf48a Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 21:51:50 -0800 Subject: [PATCH 020/385] changed updates to addition --- BIDMach.jar | Bin 98180 -> 98186 bytes src/main/scala/BIDMach/TestLearner.scala | 2 +- 2 files changed, 1 insertion(+), 1 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zilr7#ZdLNBLZc~Bj+{<{uYF=jbg@xupwYAsaC*@m3QbV??WUz&`D|RM%|J!OtGm_U zu)(ZfTEvRtE{QYMq0dP+EZQXuMD>X0;@5}@_&d3r3@b8K+n}Z!H=U?AquGcvBTZ-V zll&Hgbz2eA%wuADiSoxPrS;n5TSP1I3qN4fkl~zp@FdP54)-tlXaCVV%(mu*PQU9L zl7Eg~B9|IU5fmh(&}Z<3bc&=nx|%k>!V?HfWxbglaQXz%qzAQ}0mXl0(SPKHGw>c8 z(X{ok(;tZ@ODsJCofM?@0A2!~po#}z1oVPm5dxAv z2da7iq#&y&@Dk#<08d04kj5Jz0gt=@F5n4B?G4BvlVSj%AO`RpjP?dtkbh$SYe7LiZ$y2&-T)N2 z1rGpM@c_zy2zVg34*&(sKt&%w2Es)GuKFNopM4N%XTcR8Knd9%3V;bv0166wBc|)* zg-E00i-^+x{9l|1jP?aMk$Y$n7CoYpM_K?4jP*wZKKO@aPya7Y36ci@Sg8((!MuKm zd<3A1A0P*5c?GKaA=ZE>0Kos(Ie>5?dy4^JmKZ<|I{6{O;QJ%^P>|gpu~mkkn?E3l zJfsMKCyD^oKRbX2?ji`tb}9fEuYxEYk%t9v1*HQ331sXK0Qm9)0?b2z$iDgjJb|1L i+z0@;kWEYhFwqMj136&;D Date: Wed, 14 Nov 2012 21:49:27 -0800 Subject: [PATCH 021/385] fixes to multithreaded Learner --- BIDMach.jar | Bin 98186 -> 98557 bytes src/main/scala/BIDMach/FactorModel.scala | 13 ++++--- src/main/scala/BIDMach/Learner.scala | 19 ++++------ src/main/scala/BIDMach/TestLearner.scala | 42 ++++++++++++++++++----- 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b/src/main/scala/BIDMach/FactorModel.scala index 29e8355b..09c64f60 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -16,12 +16,15 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo var mmodeltuser = blank var udiag = blank var mdiag = blank + var smdiag = blank var quot = blank var uu = blank var diff = blank + var nusers = 0 override def initmodel(data0:Mat, user0:Mat, datatest0:Mat, usertest0:Mat):(Mat, Mat) = { val v = super.initmodel(data0, user0, datatest0, usertest0) + nusers = size(data0, 2) udiag = mkdiag(options.uprior*ones(options.dim,1)):FMat mdiag = mkdiag(options.mprior*ones(options.dim,1)):FMat if (options.useGPU) { @@ -54,7 +57,8 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo val d = options.dim updatemat ~ user xT sdata uu = uu ~ user xT user - uu ~ uu + mdiag + smdiag = smdiag ~ mdiag * (1.0f*size(user,2)/nusers) + uu ~ uu + smdiag updateDenom ~ uu * modelmat } @@ -71,10 +75,11 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo } modeldata = modeldata ~ modelmat * idata uu = uu ~ iuser xT iuser - uu ~ uu + mdiag + smdiag = smdiag ~ mdiag * (1.0f*size(iuser,2)/nusers) + uu ~ uu + smdiag mm = mm ~ modelmat xT modelmat - val ll0 = idata.contents dot idata.contents + val ll0 = idata.contents dot idata.contents val ll1 = modeldata dot iuser val ll2 = uu dot mm // println("ll %f %f %f" format (ll0, ll1, ll2)) @@ -92,7 +97,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto var prat = blank var prod = blank - override def uupdate(data:Mat, user:Mat):Unit = uupdate1(data, user) + override def uupdate(data:Mat, user:Mat):Unit = uupdate2(data, user) def uupdate1(data:Mat, user:Mat):Unit = { (data, modelmat, user) match { diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index bcb477a2..3eef7ef6 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -42,16 +42,16 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, nsteps += iend - i var dslice = datamat0(?, i->iend) var tslice = targetmat(?, i->iend) - val nmodel = model.asInstanceOf[NMFmodel] -// val v0 = nmodel.eval(dslice, model.modelmat, tslice) + val nmodel = model.asInstanceOf[FactorModel] + // val (v0,x0) = model.eval(dslice, tslice) model.gradfun(dslice, tslice) val (tll, tllx) = model.eval(dslice, tslice) targetmat(?, i->iend) = tslice if (regularizer != null) regularizer.compute(1.0f*(iend-i)/n) -// val v1 = model.eval(dslice, tslice) +// val (v1,x1) = model.eval(dslice, tslice) updater.update(iend-i) -// val v2 = model.eval(dslice, tslice) -// println("delta = %f, %f, %f, nw=%f" format (tll, v1._1, v2._1, nw)) +// val (v2,x2) = model.eval(dslice, tslice) +// println("i=%d, delta = %f, %f, %f, %f" format (i, tll, v0, v1, v2)) llest = (1/(nw+1))*(tll + nw*llest) llder = (1/(nww+1))*(tll-llold + nww*llder) @@ -122,7 +122,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, for (ithread <- 0 until numthreads) { scala.actors.Actor.actor { device(ithread) - if (ithread > 0) models(ithread).modelmat <-- model.modelmat + if (ithread == curdevice) models(ithread).modelmat <-- model.modelmat val iloc = ipos + ithread*blocksize var iend = math.min(n, iloc+blocksize) if (iloc < iend) { @@ -130,9 +130,6 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, var tslice = targetmat(?, iloc->iend) models(ithread).gradfun(dslice, tslice) val (tll, tllx) = models(ithread).eval(dslice, tslice) - if (tll < -100) { - println("iloc=%d, iend=%d, ithread=%d, tll=%f" format (iloc, iend, ithread, tll)) - } tlls(ithread) = tll tllxs(ithread) = tllx targetmat(?, iloc->iend) = tslice @@ -146,13 +143,11 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, while (sum(done).dv < numthreads) {Thread.sleep(10)} device(curdevice) // println("got here 6") - var iend = 0 for (ithread <- 1 until numthreads) { - val iloc = ipos + ithread*blocksize - iend = math.min(n, iloc+blocksize) model.updatemat ~ model.updatemat + models(ithread).updatemat nmodel.updateDenom ~ nmodel.updateDenom + models(ithread).updateDenom } + val iend = math.min(n, ipos+4*blocksize) updater.update(iend-ipos) llest = (1/(nw+1))*(mean(tlls).dv + nw*llest) ipos += numthreads*blocksize diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index e791b9b5..d8f165ba 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -7,8 +7,9 @@ import Learner._ object TestLearner { - def runNMFLearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int):Learner = { - val model = new NMFmodel() + + def runLDALearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int):Learner = { + val model = new LDAmodel() model.options.dim = ndims model.options.uiter = 4 model.options.uprior = 1e1f @@ -28,6 +29,31 @@ object TestLearner { learner.options.secprint = 100 learner.options.blocksize = 8000/nthreads //size(rt,2)//40000 // learner.options.numGPUthreads = nthreads + learner.run + learner + } + + def runNMFLearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int, useGPU:Boolean):Learner = { + val model = new NMFmodel() + model.options.dim = ndims + model.options.uiter = 4 + model.options.uprior = 1e1f + model.options.mprior = 1e2f + model.options.minuser = 1e-8f + model.options.nzPerColumn = 400 + model.options.useGPU = useGPU + + val updater = new ADAMultUpdater + updater.options.alpha = 0.1f +// val updater = new MultUpdater(model) +// updater.options.alpha = 0.1f + updater.options.initnsteps = 8000f + + val learner = Learner(rt, null, rtest, null, model, null, updater) + learner.options.npasses = 4 + learner.options.secprint = 100 + learner.options.blocksize = 16000/nthreads //size(rt,2)//40000 // + learner.options.numGPUthreads = nthreads learner.runpar learner } @@ -72,7 +98,7 @@ object TestLearner { learner } - def runtest(dirname:String, ntest:Int, ndims:Int, nthreads:Int):Learner = { + def runtest(dirname:String, ntest:Int, ndims:Int, nthreads:Int, useGPU:Boolean):Learner = { tic val revtrain:SMat = load(dirname+"xpart1.mat", "revtrain") val revtest:SMat = load(dirname+"xpart1.mat", "revtest") @@ -93,7 +119,8 @@ object TestLearner { val learner:Learner = ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) - case 3 => runNMFLearner(rt , rtest, ndims, nthreads) + case 3 => runNMFLearner(rt , rtest, ndims, nthreads, useGPU) + case 4 => runLDALearner(rt , rtest, ndims, nthreads) } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) @@ -111,16 +138,15 @@ object TestLearner { learner } - - + def main(args: Array[String]): Unit = { val dirname = args(0) val ntest = args(1).toInt val ndims = args(2).toInt val nthreads = args(3).toInt + val useGPU = args(4).toBoolean - Mat.checkCUDA - runtest(dirname, ntest, ndims, nthreads) + runtest(dirname, ntest, ndims, nthreads, useGPU) } } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index 850d9b17..a9803095 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -90,6 +90,7 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater // val weight = options.alpha * math.sqrt(math.sqrt(options.initnsteps/nsteps)).asInstanceOf[Float] // val weight = options.alpha ratio = ratio ~ updatemat /@ updateDenom + max(0.01f, min(100f, ratio, ratio), ratio) diff = ln(ratio, diff) // diff = diff ~ updatemat - updateDenom /* diff ~ diff *@ modelmat @@ -101,7 +102,7 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater // if (nsteps > options.waitsteps) { // diff ~ diff /@ sqrt(tmp0 ~ sumSq*(options.alpha * nsteps / options.initnsteps), tmp1) diff ~ diff *@ weight - max(-1f, min(1f, diff, diff), diff) + max(-1f, min(1f, diff, diff), diff) // println("mean diff=%f" format mean(abs(diff.asInstanceOf[FMat])(?)).dv) ratio = exp(diff, ratio) modelmat ~ modelmat *@ ratio From 0bd6e9b27dc07ca9a6207e6fd45407742fbac57a Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 15 Nov 2012 00:36:55 -0800 Subject: [PATCH 022/385] LDA compilation fixes --- src/main/scala/BIDMach/FactorModel.scala | 21 ++++++++++++++------- src/main/scala/BIDMach/TestLearner.scala | 10 ++++++---- 2 files changed, 20 insertions(+), 11 deletions(-) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index 09c64f60..984ed6e8 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -103,7 +103,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto (data, modelmat, user) match { case (sdata:SMat, fmodel:FMat, fuser:FMat) => { preds = DDS(fmodel, fuser, sdata, preds) - val prat = sdata.ssMatOp(preds.asInstanceOf[SMat], (x:Float, y:Float) => x / math.max(options.weps, y)) + val prat = sdata.ssMatOp(preds.asInstanceOf[SMat], (x:Float, y:Float) => x / math.max(options.weps, y), null) val prod = fmodel * prat var i = 0; while (i < prod.ncols) { var j = 0; while (j < prod.nrows) { @@ -121,10 +121,14 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto } } - def uupdate2(data:Mat, user:Mat):Unit = { + def uupdate2(data:Mat, user:Mat):Unit = { +/* println("data=%d,%d,%d, preds=%d,%d prat=%d,%d" format (size(data,1),size(data,2),data.nnz, + size(preds,1),size(preds,2), + size(prat,1),size(prat,2)));*/ preds = DDS(modelmat, user, data, preds) max(options.weps, preds, preds) prat = prat ~ data /@ preds + prod = prod ~ modelmat * prat user ~ prod *@ user user ~ user + options.uprior @@ -142,13 +146,16 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto updateDenom ~ sum(user,2) * user.ones(1,size(user,2)) } - override def eval(data:Mat, user:Mat):(Double, Double) = { + override def eval(data:Mat, user:Mat):(Double, Double) = { + preds = DDS(modelmat, user, data, preds) + max(options.weps, preds, preds) val vdat = data.contents - val vpreds = data.contents - max(options.weps, vpreds, vpreds) - ln(vpreds, ll) + val vpreds = preds.contents + ll = ln(vpreds, ll) ll ~ ll *@ vdat - glvdat = gammaln(vdat, glvdat) + ll ~ ll - vpreds + glvdat = glvdat ~ vdat + 1f + glvdat = gammaln(glvdat, glvdat) ll ~ ll - glvdat (mean(ll).dv,0) } diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index d8f165ba..5e7d1a4b 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -8,7 +8,9 @@ import Learner._ object TestLearner { - def runLDALearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int):Learner = { + def runLDALearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int, useGPU:Boolean):Learner = { + + Mat.numThreads = 1 val model = new LDAmodel() model.options.dim = ndims model.options.uiter = 4 @@ -16,7 +18,7 @@ object TestLearner { model.options.mprior = 1e2f model.options.minuser = 1e-8f model.options.nzPerColumn = 400 - model.options.useGPU = true + model.options.useGPU = useGPU val updater = new ADAMultUpdater updater.options.alpha = 0.1f @@ -26,7 +28,7 @@ object TestLearner { val learner = Learner(rt, null, rtest, null, model, null, updater) learner.options.npasses = 4 - learner.options.secprint = 100 + learner.options.secprint = 0.1 learner.options.blocksize = 8000/nthreads //size(rt,2)//40000 // learner.options.numGPUthreads = nthreads learner.run @@ -120,7 +122,7 @@ object TestLearner { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) case 3 => runNMFLearner(rt , rtest, ndims, nthreads, useGPU) - case 4 => runLDALearner(rt , rtest, ndims, nthreads) + case 4 => runLDALearner(rt , rtest, ndims, nthreads, useGPU) } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) From 3362d8d777f2f00333532420f61f54c857c03345 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 24 Nov 2012 23:23:19 -0800 Subject: [PATCH 023/385] PAM clustering working --- BIDMach.jar | Bin 98557 -> 109133 bytes src/main/scala/BIDMach/FactorModel.scala | 70 +++++++++++++---------- src/main/scala/BIDMach/Learner.scala | 3 +- src/main/scala/BIDMach/Model.scala | 6 +- src/main/scala/BIDMach/TestLearner.scala | 30 +++++----- src/main/scala/BIDMach/Updater.scala | 59 ++++++++++++------- 6 files changed, 101 insertions(+), 67 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 56408f4583be0974b9b23044c34bc5f3fe22d493..2ed924c3efc9b5043b8f74335949fc6f4a12fac6 100755 GIT binary patch delta 71603 zcmZU)V{l+m)2U+;~cGa%E_MiT- zx>r~C)%W@cf|^`_LR66lhrj@Vfq?|0&*SLC4$N_VD2G!i$n5-lLMo*cuT+c|4-unRxbUDrsl(NC>B=S-;(^ 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zt{)1h(H{y(pveG>N1Jl=eAO08kqg)qLL6vS9>B*h?_WM!NkxW%0H007|MKa?eSrSM zXFd-^0vAaHf~u1PbbsXnBkrL==G?V^KB!|6IH~>+5e9~n7%H9*VtX{YVJfE8sK8~c zp#In143a!j#Cwz!+L#X_ha;x>w`eyXg!5Sa&xokMyDudj2pYo-T+J3>B_4;|<5ESa zdI1O@?lb-4pJY(KA`sdmp+6VX{Y}V`3j}2s0Fgs~7ygU=bIR)P&O^lWh$VbjY=`(r z{890Yg@EFJNHyWkhfX7XA7Fle0`2+t;G9= tsecs || done || (i >= n)) { val tmp = model.asInstanceOf[FactorModel].options.uiter - model.asInstanceOf[FactorModel].options.uiter = 20 + model.asInstanceOf[FactorModel].options.uiter = 10 + model.gradfun(datatest0, targettest) val (llx, llxa) = model.eval(datatest0, targettest) model.asInstanceOf[FactorModel].options.uiter = tmp println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f(u%5.4f)" format (ipass, nsteps/1000, toc, llest, llx, llxa)) diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index 28811644..a17f31cf 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -7,9 +7,9 @@ abstract class Model { val options:Model.Options - var modelmat:Mat = null + var modelmat = blank - var updatemat:Mat = null + var updatemat = blank def initmodel(data:Mat, target:Mat, datatest:Mat, testtarg:Mat):(Mat, Mat) @@ -18,6 +18,8 @@ abstract class Model { def eval(data:Mat, target:Mat):(Double, Double) def make(opts:Model.Options):Model + + var nusers = 0 } diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 5e7d1a4b..4a6fdebb 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -10,26 +10,26 @@ object TestLearner { def runLDALearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int, useGPU:Boolean):Learner = { - Mat.numThreads = 1 +// Mat.numThreads = 1 val model = new LDAmodel() model.options.dim = ndims model.options.uiter = 4 - model.options.uprior = 1e1f - model.options.mprior = 1e2f - model.options.minuser = 1e-8f + model.options.uprior = 1e-1f + model.options.mprior = 1e0f + model.options.minuser = 1e-7f model.options.nzPerColumn = 400 model.options.useGPU = useGPU - val updater = new ADAMultUpdater - updater.options.alpha = 0.1f + val updater = new MultUpdater + updater.options.alpha = 0.3f // val updater = new MultUpdater(model) // updater.options.alpha = 0.1f updater.options.initnsteps = 8000f val learner = Learner(rt, null, rtest, null, model, null, updater) - learner.options.npasses = 4 - learner.options.secprint = 0.1 - learner.options.blocksize = 8000/nthreads //size(rt,2)//40000 // + learner.options.npasses = 20 + learner.options.secprint = 100 + learner.options.blocksize = 8000 //size(rt,2) learner.options.numGPUthreads = nthreads learner.run learner @@ -39,24 +39,24 @@ object TestLearner { val model = new NMFmodel() model.options.dim = ndims model.options.uiter = 4 - model.options.uprior = 1e1f + model.options.uprior = 1e-4f model.options.mprior = 1e2f model.options.minuser = 1e-8f model.options.nzPerColumn = 400 model.options.useGPU = useGPU - val updater = new ADAMultUpdater + val updater = new MultUpdater updater.options.alpha = 0.1f // val updater = new MultUpdater(model) // updater.options.alpha = 0.1f updater.options.initnsteps = 8000f val learner = Learner(rt, null, rtest, null, model, null, updater) - learner.options.npasses = 4 + learner.options.npasses = 10 learner.options.secprint = 100 learner.options.blocksize = 16000/nthreads //size(rt,2)//40000 // learner.options.numGPUthreads = nthreads - learner.runpar + learner.run learner } @@ -105,8 +105,8 @@ object TestLearner { val revtrain:SMat = load(dirname+"xpart1.mat", "revtrain") val revtest:SMat = load(dirname+"xpart1.mat", "revtest") val t1 = toc; tic - val rt = revtrain(0->40000,0->(8000*(size(revtrain,2)/8000))) - val rtest = revtest(0->40000,0->(8000*(size(revtest,2)/8000))) + val rt = revtrain(0->4000,0->(8000*(size(revtrain,2)/8000))) + val rtest = revtest(0->4000,0->(8000*(size(revtest,2)/8000))) val scrtrain:IMat = load(dirname+"xpart1.mat", "scrtrain") val scrtest:IMat = load(dirname+"xpart1.mat", "scrtest") val st = FMat(scrtrain).t diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index a9803095..48bf8e17 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -12,15 +12,17 @@ trait Updater { class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { val options = opts - var nsteps = 0 - var updatesum:Mat = null - var updateDenomsum:Mat = null + var nsteps = 0L + var updatesum = blank + var updateDenomsum = blank var ratio = blank var msum = blank + var tmp0 = blank + var tmp1 = blank var model:FactorModel = null def initupdater(model0:Model) = { - nsteps = 0 + nsteps = 0 model = model0.asInstanceOf[FactorModel] val modelmat = model.modelmat updatesum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) @@ -33,21 +35,30 @@ class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { val updatemat = model.updatemat val updateDenom = model.updateDenom val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] -// updatesum ~ updatesum + updatemat -// updateDenomsum ~ updateDenomsum + updateDenom -// if (math.sqrt(nsteps) % 1 < 1e-9) { - - ratio = ratio ~ updatemat /@ updateDenom - max(0.2f, ratio, ratio) - min(5f, ratio, ratio) - modelmat ~ modelmat *@ ratio -// updatesum.clear -// updateDenomsum.clear -// } - msum = sum(modelmat, 2, msum) - msum ~ msum *@ sdim - modelmat ~ modelmat /@ msum - nsteps += 1 + + updatesum ~ updatesum + updatemat + updateDenomsum ~ updateDenomsum + updateDenom +// println("updatesum\n"+updatesum.asInstanceOf[FMat](0->4,0->8).toString) +// println("updateDenomsum\n"+updateDenomsum.asInstanceOf[FMat](0->4,0).toString) + + if (nsteps >= model.nusers) { + ratio = ratio ~ updatesum /@ updateDenomsum +// println(ratio.asInstanceOf[FMat](0->4,0->8).toString) + max(0.001f, min(1000f, ratio, ratio), ratio) + println("updating ratio norm %f" format norm(ln(ratio.asInstanceOf[FMat](?)))) + val fmodelmat = modelmat.asInstanceOf[FMat] +// println("modelmat = " + fmodelmat(0,0)) +// println("norm modelmat %f" format norm(modelmat)) + modelmat ~ modelmat *@ ratio +// println("norm modelmat %f" format norm(modelmat)) + updatesum.clear + updateDenomsum.clear + nsteps = 0 + msum = sum(modelmat, 2, msum) + modelmat ~ modelmat /@ msum + println("norm modelmat %f" format norm(modelmat)) + } + nsteps += step } } @@ -84,14 +95,22 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater val modelmat = model.modelmat val updatemat = model.updatemat val updateDenom = model.updateDenom +// println("updater norm modelmat=%f, updatemat=%f, updatedenom=%f" format (norm(modelmat),norm(updatemat),norm(updateDenom))) val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] val weight = options.alpha * math.sqrt(options.initnsteps/nsteps).asInstanceOf[Float] // val weight = options.alpha * math.sqrt(math.sqrt(options.initnsteps/nsteps)).asInstanceOf[Float] // val weight = options.alpha +// println("updater min updatedenom=%f" format mini(updateDenom(?,10), 1).dv) +// println("sizes %d,%d %d,%d" format (size(updatemat,1),size(updatemat,2),size(updateDenom,1),size(updateDenom,2))) ratio = ratio ~ updatemat /@ updateDenom + ratio = ratio ~ ratio /@ modelmat +// ratio = updatemat.asInstanceOf[FMat] /@ updateDenom.asInstanceOf[FMat] +// println("updater norm ratio=%f" format norm(ratio)) +// println("minmax %f,%f" format (maxi(maxi(updatemat,1),2).dv , mini(mini(updateDenom,1),2).dv)) max(0.01f, min(100f, ratio, ratio), ratio) diff = ln(ratio, diff) + // diff = diff ~ updatemat - updateDenom /* diff ~ diff *@ modelmat tmp0 = tmp0 ~ diff *@ diff @@ -110,7 +129,7 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater // } msum = sum(modelmat, 2, msum) - msum ~ msum *@ sdim +// msum ~ msum *@ sdim modelmat ~ modelmat /@ msum nsteps += step } From eec8253e145889e66147d245303fe3afdefd1e60 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 26 Nov 2012 17:44:54 -0800 Subject: [PATCH 024/385] fixes to sorting --- src/main/scala/BIDMach/Clustering.scala | 125 ++++++++++++++++++++++++ 1 file changed, 125 insertions(+) create mode 100755 src/main/scala/BIDMach/Clustering.scala diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala new file mode 100755 index 00000000..2b5ee784 --- /dev/null +++ b/src/main/scala/BIDMach/Clustering.scala @@ -0,0 +1,125 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ + + +class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { + var a:FMat = null + var nfeats = 0 + var nsamps = 0 + var ncenters = 0 + val options = opts + + def init(a0:FMat) = { + a = a0 + nfeats = size(a0,2) + nsamps = size(a0,1) + ncenters = options.ncenters + } + + def dists(a:FMat):FMat = { + val dd = a xT a; + val d1 = getdiag(dd) + dd ~ dd * 2.0f + dd ~ d1 - dd + dd ~ dd + (d1.t) + max(dd, 0f, dd) + sqrt(dd, dd) + dd + } + + def run = { + flip + val dd = dists(a) + val ft1 = gflop + println("distance in %f seconds, %f gflops" format (ft1._2,ft1._1)) + flip + val (ds, iss) = sort2(dd,1) + val rr = rand(nsamps,1) + val (rs,irs) = sort2(rr,1) + val icenters = irs(0->ncenters,0) + val (vdists, imin) = mini2(dd(?,icenters),2) + val vtmp = vdists.copy + val itmp = imin.copy + Mat.nflops += math.round(math.log(size(dd,1))/math.log(2.0))*size(dd,1)*size(dd,2) + val ft2 = gflop + println("sorts in %f seconds, %f gcomps" format (ft2._2,ft2._1)) + println("ipass=0, dist=%f" format mean(vdists,1).v) + flip + var nchanged = 1 + var ipass = 0 + var totchanged = 0 + while (nchanged > 0 && ipassipc) \ ((ipc+1)->ncenters),0) + val (vm, im) = mini2(dd(ifix, tcents),2) + Mat.nflops += length(ifix)*length(tcents) + im ~ im + (im >= ipc) + vtmp(ifix,0) = vm + itmp(ifix,0) = im + var ipn = 0 + while (ipn < nsamps) { + var j = 0 + while (j < nsamps && ds(j,ipn) < vtmp(ipn,0)) { + deltas(iss(j,ipn),0) = deltas(iss(j,ipn),0) + ds(j,ipn) - vtmp(ipn,0) + j += 1 + } + Mat.nflops += 2*j + ipn += 1 + } + val (vs,is) = mini2(deltas) + Mat.nflops += 2*nsamps + if (vs.v + sum(vtmp).v < sum(vdists).v && is.v != icenters(ipc,0)) { + icenters(ipc,0) = is.v + var j = 0 + while (j < nsamps) { + if (dd(j,is.v) < vtmp(j,0)) { + vdists(j,0) = dd(j,is.v) + imin(j,0) = ipc + } else { + vdists(j,0) = vtmp(j,0) + imin(j,0) = itmp(j,0) } + j += 1 + } + nchanged += 1 + Mat.nflops += 2*nsamps + if (options.verb) println("ipass=%d, ipc=%d, dist=%f, nchanged=%d" format (ipass, ipc, mean(vdists,1).v, nchanged)) + } + ipc += 1 + } + println("ipass=%d, dist=%f, nchanged=%d" format (ipass, mean(vdists,1).v, nchanged)) + totchanged += nchanged + } + val (vdists2, imin2) = mini2(dd(?,icenters),2) + val t3=gflop + println("optim in %f secs, %f gsamps, passes=%d, dist=%f, verify=%f, totchanged=%d" format (t3._2, t3._1, ipass, mean(vdists).v, mean(vdists2,1).v, totchanged)) + } + +} + +object PAMmodel { + class Options { + var ncenters = 1000 + var maxpasses = 5 + var verb = false + } + + def main(args:Array[String]) = { + val nfeats = args(0).toInt + val nsamps = args(1).toInt + val ncenters = args(2).toInt + val a = rand(nsamps, nfeats) + val cc = new PAMmodel + cc.options.ncenters = ncenters + cc.init(a) + cc.run + } +} From 68faf30dd173d75dca784eee9e7d53db38e3189f Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 27 Nov 2012 23:35:30 -0800 Subject: [PATCH 025/385] fixes to clustering --- BIDMach.jar | Bin 109133 -> 110468 bytes src/main/scala/BIDMach/Clustering.scala | 114 ++++++++++++++---------- 2 files changed, 66 insertions(+), 48 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 2ed924c3efc9b5043b8f74335949fc6f4a12fac6..8b64b1fb95d636a660e6363b0862f1e9974864f2 100755 GIT binary patch delta 10325 zcmZ8{Wmp_r(=CHL3GNQT-8Hzo2MtbecP6+Kd~kP%NpJ`b3GVK}U4qLcoSgSN&z(QL z_NuB?ReSeL_jK>!DcGP@SQKSBC}>OwczAdS%~tO?6a%PaDDPT3TBtwAghLo|a4VG4 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zWPK|J*P~2N`A9%k{TNjC+yY`jnGOGbbp115%;Svqg!*Tc;ByrT8vZY+pegDJ_3v1= z|Kz%8^9=RhCkp?~_0RL7&$$NJ{V%8>u1{;}pT`)VKLM+G{YHJp@(J(HjkxF9y!8HW zcp!dHllPx{OwZQ|-H*TVp5E>MdztuiAK-a^^oRWe$IR(*nRv2{Ki?rfpYp9D!GQ;@ z6y%TZ6aVn${;@DP#()FAcHlf4?I0&l=(h{^&!-5=L~x+o7Xn~LI~^ndbU)Jm2J+ww sIB>O&0Laim4>^(XI2#ZET{`F>Yx5qdlcGq1NrFv+{G;{)kimid4=poVtN;K2 diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index ea33d73c..7e5cedfc 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -3,9 +3,8 @@ package BIDMach import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -import Learner._ - +/* class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorModel(opts) { def make(opts:Model.Options) = new NMFmodel(opts.asInstanceOf[NMFmodel.Options]) @@ -253,4 +252,4 @@ object FactorModel { var mprior = 1e-4f var minuser = 1e-8f } -} +} */ diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index be34404b..e1d860b5 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -3,9 +3,9 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import BIDMat.Plotting._ -import Learner._ import scala.collection.immutable.List +/* case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, model:Model, regularizer:Regularizer, updater:Updater, val opts:Learner.Options = new Learner.Options) { @@ -208,4 +208,4 @@ object Learner { i += 1 } } -} +}*/ diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index a17f31cf..00d42105 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -1,5 +1,5 @@ package BIDMach -import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,GMat,GIMat,GSMat,HMat,IMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ @@ -7,19 +7,21 @@ abstract class Model { val options:Model.Options - var modelmat = blank + var modelmats:Array[Mat] = null - var updatemat = blank + var regularizer:Regularizer = null - def initmodel(data:Mat, target:Mat, datatest:Mat, testtarg:Mat):(Mat, Mat) + var updater:Updater = null - def gradfun(data:Mat, target:Mat):Unit + var sampler:Sampler = null - def eval(data:Mat, target:Mat):(Double, Double) + def initmodel:Unit - def make(opts:Model.Options):Model + def doblock(datamats:Array[Mat], updatemats:Array[Mat]):Unit - var nusers = 0 + def regularize:Unit + + def evalfun:Double } @@ -31,40 +33,4 @@ object Model { var useGPU = false } - def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { - if (a.asInstanceOf[AnyRef] != null && a.nrows == nr && a.ncols == nc) { - a - } else { - b.zeros(nr, nc) - } - } - - def checkSize(a:Mat, b:Mat):Mat = checkSize(a, b.nrows, b.ncols, b) - - def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] - - def mapfun2x2(fn:(Float, Float)=>(Float, Float), in0:FMat, in1:FMat, out0:FMat, out1:FMat) = { - if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || in0.nrows != out1.nrows || - in0.ncols != in1.ncols || in0.ncols != out0.ncols || in0.ncols != out1.ncols) { - throw new RuntimeException("dimensions mismatch") - } - var i = 0 - while (i < in0.length) { - val (v1, v2) = fn(in0.data(i), in1.data(i)) - out0.data(i) = v1 - out1.data(i) = v2 - i += 1 - } - } - def mapfun2x1(fn:(Float, Float)=>Float, in0:FMat, in1:FMat, out0:FMat) = { - if (in0.nrows != in1.nrows || in0.nrows != out0.nrows || - in0.ncols != in1.ncols || in0.ncols != out0.ncols) { - throw new RuntimeException("dimensions mismatch") - } - var i = 0 - while (i < in0.length) { - out0.data(i) = fn(in0.data(i), in1.data(i)) - i += 1 - } - } } diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index 6cdd4014..0bce7431 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -3,206 +3,63 @@ package BIDMach import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -import Learner._ -class LinearRegModel(opts:RegressionModel.Options = new RegressionModel.Options) -extends RegressionModel(opts) { - - var tmp0 = blank - var diff = blank - - def make(opts:Model.Options) = new LinearRegModel(opts.asInstanceOf[RegressionModel.Options]) - - def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) - - def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { - diff = diff ~ targ - pred - tmp0 = tmp0 ~ diff *@ diff - lls ~ tmp0 * -1 - gradw ~ diff * 2 - } - - def linearMap2(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { - val ftarg = targ.asInstanceOf[FMat] - val fpred = pred.asInstanceOf[FMat] - val flls = lls.asInstanceOf[FMat] - val fgradw = gradw.asInstanceOf[FMat] +class LinearPredictor { - var i = 0 - while (i < targ.length) { - val diff = ftarg.data(i) - fpred.data(i) - fgradw.data(i) = 2 * diff - flls.data(i) = -diff * diff - i += 1 - } - Mat.nflops += 4L*targ.length - } + def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat = linearDeriv(targ, pred, lls) + + def linearDeriv(targ:Mat, pred:Mat, lls:Mat):Mat= { + val diff = targ - pred + lls ~ lls - diff ∙∙ diff + 2 * diff + } } -class LogisticModel(opts:RegressionModel.Options = new RegressionModel.Options) -extends RegressionModel(opts) { +class LogisticPredictor { - def make(opts:Model.Options) = new LogisticModel(opts.asInstanceOf[RegressionModel.Options]) + def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat = logisticDeriv(targ, pred, lls) - def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = logisticMap1(targ, pred, lls, gradw) - - var tfact:Mat = null - var ptfact:Mat = null - var epred:Mat = null - var lle:Mat = null - var tmp0:Mat = null - var tmp1:Mat = null - - var ftfact:FMat = null - var fptfact:FMat = null - var fepred:FMat = null - var flle:FMat = null - var ftmp0:FMat = null - var ftmp1:FMat = null - - def logisticMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { - val ftarg = targ.asInstanceOf[FMat] - val fpred = pred.asInstanceOf[FMat] - val fgradw = gradw.asInstanceOf[FMat] - ftfact = recycleTry(tfact, ftarg).asInstanceOf[FMat] - fptfact = recycleTry(ptfact, ftarg).asInstanceOf[FMat] - fepred = recycleTry(epred, ftarg).asInstanceOf[FMat] - flle = recycleTry(lle, targ).asInstanceOf[FMat] - - var i = 0 - while (i < ftarg.length) { - ftfact.data(i) = 1-2*ftarg.data(i) - fptfact.data(i) = math.min(40f, fpred.data(i) * ftfact.data(i)) - i+=1 - } - exp(fptfact, fepred) - log1p(fepred, flle) - lls ~ row(-1) * flle - i = 0 - while (i < targ.length) { - fgradw.data(i) = - ftfact.data(i) * fepred.data(i) / (1 + fepred.data(i)) - i+=1 - } - Mat.nflops += 8L * targ.length - } - - def logisticMap2(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = { - var i = 0 - while (i < targ.length) { - val tfact:Double = (1-2*targ.data(i)) - val epred:Double = math.exp(math.min(40f, pred.data(i) * tfact)) - lls.data(i) = -math.log1p(epred).asInstanceOf[Float] - gradw.data(i) = (- tfact * epred / (1 + epred)).asInstanceOf[Float] - i += 1 - } - Mat.nflops += 14L * targ.length - } - - def logisticMap3(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = { - tfact = recycleTry(tfact, targ) - epred = recycleTry(epred, targ) - tmp0 = recycleTry(tmp0, targ) - tmp1 = recycleTry(tmp1, targ) - - tfact ~ 1 - (tmp0 ~ 2*targ) - min(40.0, tmp0 ~ tfact *@ pred, tmp1) - exp(tmp1, epred) - log1p(epred, tmp0) - lls ~ row(-1) * tmp0 - gradw ~ -1 * (tmp0 ~ tfact *@ (tmp1 ~ epred / (tmp0 ~ 1 + epred))) - } - - def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = { - ftfact = recycleTry(tfact, targ).asInstanceOf[FMat] - fptfact = recycleTry(ptfact, targ).asInstanceOf[FMat] - fepred = recycleTry(epred, targ).asInstanceOf[FMat] - lle = recycleTry(lle, targ).asInstanceOf[FMat] - - Learner.mapfun2x2((targ:Float, pred:Float) => (1-2*targ, math.min(40f, pred * (1-2*targ))), targ, pred, ftfact, fptfact) - exp(fptfact, fepred) - log1p(fepred, lle) - lls ~ row(-1) * lle - Learner.mapfun2x1((tfact:Float, epred:Float)=>(-tfact*epred/(1+epred)), ftfact, fepred, gradw) - Mat.nflops += 8L * targ.length - } + def logisticDeriv(targ:Mat, pred:Mat, lls:Mat):Mat= { + val mpred = max(-40, min(40, pred)) + val tp = (2 * targ - 1) + val ep = exp(tp ∘ mpred) + val expp1 = ep + 1 + lls ~ lls - sum(1 / expp1, 2) + tp ∘ ep / expp1 / expp1 + } } abstract class RegressionModel(opts:RegressionModel.Options) extends Model { val options = opts - var data:Mat = null - var target:Mat = null - var testtarg:Mat = null - - var ttarget:Mat = null var lls:Mat = null - var tpred:Mat = null - var gradw:Mat = null - def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit - - override def initmodel(data0:Mat, target0:Mat, datatest0:Mat, testtarg0:Mat):(Mat, Mat) = { - val m = size(data0, 1) - val n = size(target0, 1) - val k = options.startBlock - if (options.transpose) { - modelmat = 0.1f*normrnd(0,1,m,n) - updatemat = modelmat.zeros(m,n) - } else { - modelmat = 0.1f*normrnd(0,1,n,m) - updatemat = modelmat.zeros(n,m) - } - if (options.useGPU) { - modelmat = GMat(modelmat.asInstanceOf[FMat]) - updatemat = GMat(updatemat.asInstanceOf[FMat]) - data = GSMat(m, k, k * options.nzPerColumn) - target = GMat(n, k) - testtarg = GMat(n, k) - } - (target0, testtarg0) + override def initmodel:Unit = { + modelmats = new Array[Mat](1) + modelmats(0) = if (opts.useGPU) GMat(opts.nrows, opts.nmodels) else FMat(opts.nrows, opts.nmodels) + lls = if (opts.useGPU) gzeros(opts.nmodels, 1) else zeros(opts.nmodels, 1) } - override def eval(idata:Mat, itarget:Mat) = { - tpred ~ modelmat * data; - regfn(target, tpred, lls, gradw) - (mean(mean(lls,2)).dv, 0.0) - } + def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat - override def gradfun(idata:Mat, itarget:Mat):Unit = { - if (options.transpose) { - ttarget = ttarget ~ itarget t; - } else { - ttarget = itarget - } - lls = recycleTry(lls, ttarget.nrows, ttarget.ncols, modelmat, 0) - tpred = recycleTry(tpred, lls) - gradw = recycleTry(gradw, lls) - modelmat match { - case m:GMat => { - data = GSMat.fromSMat(idata.asInstanceOf[SMat], data.asInstanceOf[GSMat]) - target = GMat.fromFMat(itarget.asInstanceOf[FMat], target.asInstanceOf[GMat]) - } - case m:FMat => { - data = idata - target = ttarget - } - } - if (options.transpose) { - tpred ~ data Tx modelmat - regfn(target, tpred, lls, gradw) - updatemat ~ data * gradw - mean(mean(lls,1)).dv - } else { - tpred ~ modelmat * data; - regfn(target, tpred, lls, gradw) - updatemat ~ gradw xT data - } - } + override def doblock(datamats:Array[Mat], updatemats:Array[Mat]):Unit = { + val sdata = datamats(0) + val target = datamats(1) + val model = modelmats(0) + val mupdate = updatemats(0) + + val mvals = model * sdata + val dd = derivfn(target, mvals, lls) + mupdate ~ mupdate + dd *^ sdata + } + } object RegressionModel { class Options extends Model.Options { - var transpose = true + var nrows = 0 + var nmodels = 0 + var transpose:Boolean = false } } diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala index 9671dd56..e043fd2f 100755 --- a/src/main/scala/BIDMach/Regularizer.scala +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -3,40 +3,28 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -abstract class Regularizer(val model:Model, opts:Regularizer.Options = new Regularizer.Options) { +abstract class Regularizer(opts:Regularizer.Options = new Regularizer.Options) { val options = opts - var modelmat:Mat = null - var updatemat:Mat = null - var tmp0:Mat = null - var tmp1:Mat = null - def compute(step:Float) + def compute(modelmats:Array[Mat], updatemats:Array[Mat], step:Float) def initregularizer = { - modelmat = model.modelmat - updatemat = model.updatemat - tmp0 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) - tmp1 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) } } -class L1Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { - def compute(step:Float) = { - sign(modelmat, tmp0) - updatemat ~ updatemat + (tmp1 ~ tmp0 * (-step * options.mprior)) +class L1Regularizer(opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(opts) { + def compute(modelmats:Array[Mat], updatemats:Array[Mat], step:Float) = { + for (i <- 0 until modelmats.length) { + updatemats(i) ~ updatemats(i) + (sign(modelmats(i)) * (-step*options.mprior)) + } } } -class L2Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { - def compute(step:Float) = { - updatemat ~ updatemat + (tmp1 ~ modelmat * (-options.mprior * step)) - } -} - -class L2MultRegularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { - def compute(step:Float) = { - val updateDenom = model.asInstanceOf[FactorModel].updateDenom - updateDenom ~ updateDenom + (tmp1 ~ updateDenom * (step*options.mprior)) +class L2Regularizer(opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(opts) { + def compute(modelmats:Array[Mat], updatemats:Array[Mat], step:Float) = { + for (i <- 0 until modelmats.length) { + updatemats(i) ~ updatemats(i) + (modelmats(i) * (-options.mprior * step)) + } } } diff --git a/src/main/scala/BIDMach/TestHash.scala b/src/main/scala/BIDMach/TestHash.scala deleted file mode 100755 index 6bca434a..00000000 --- a/src/main/scala/BIDMach/TestHash.scala +++ /dev/null @@ -1,14 +0,0 @@ -package BIDMach -import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} -import BIDMat.MatFunctions._ -import BIDMat.SciFunctions._ -import Learner._ - -object TestHash { - def main(args: Array[String]): Unit = { - - val dirname = "d:\\sentiment\\sorted_data\\books\\" - val smap:CSMat = load(dirname+"sparsemat.mat", "smap") - println("done "+size(smap,1)+" "+size(smap,2)) - } -} diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 4a6fdebb..d97821c9 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -3,9 +3,8 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import BIDMat.Plotting._ -import Learner._ - +/* object TestLearner { def runLDALearner(rt:SMat, rtest:SMat, ndims:Int, nthreads:Int, useGPU:Boolean):Learner = { @@ -151,4 +150,4 @@ object TestLearner { Mat.checkCUDA runtest(dirname, ntest, ndims, nthreads, useGPU) } -} +} */ diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index d8ee7c86..b4451bc8 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -3,13 +3,14 @@ package BIDMach import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -import Learner._ + trait Updater { def update(step:Int):Unit; def initupdater(model:Model):Unit; } +/* class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { val options = opts var nsteps = 0L @@ -212,4 +213,4 @@ object Updater { var waitsteps = 200000 var minmodel = 1e-7f } -} +}*/ From 9988922ecf44b66b8279617bf2cc8e6abc38256b Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 10 Mar 2013 22:30:06 -0700 Subject: [PATCH 034/385] rebuilt jar --- BIDMach.jar | Bin 114861 -> 119708 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -195,8 +195,8 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { } val t3=gflop val vdists2 = mini(dd(?,bestc),2) - println("Optimum in %f secs, %f gflops, mean dist=%f, verify=%f, maxdepth=%d, nspills=%d" format - (t3._2, t3._1, bestvd, mean(DMat(vdists2),1).v, maxdepth, nspills)) + println("Optimum in %f secs, %f gflops, mean dist=%f, verify=%f, maxdepth=%d, nspills=%d\nTotal time %f seconds" format + (t3._2, t3._1, bestvd, mean(DMat(vdists2),1).v, maxdepth, nspills, t3._2+ft2._2+ft1._2)) } } From 8a0d2020af2b4ffdc3ff0d9ca612c7b920f5ef3e Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 13 Mar 2013 17:41:06 -0700 Subject: [PATCH 037/385] sync with BIDMat --- BIDMach.jar | Bin 119813 -> 119804 bytes src/main/scala/BIDMach/Clustering.scala | 8 ++++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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zEiC0EKme}Y=syb|;yel9c$1Pl36O=uwFW?@ZQjznPQDFhCxmP2E!Zbd0L01jtzx$6 zw`}E8ZxsW)|APo28&hxbPa)XT06Ey$FbK{x03YHs{f4~-oCZk2`K16L@hNZ5{#PmP z%$rhD2>Z<2tDu3nzBO=jd4S~TL}JL~41fjD3wip7aaIG8dyGjSpJo9pu!N2OcPtPg Vd2a~d2{JwlU_wOb0=&(>{|}<=r-=Xn diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index b7605406..0e18f817 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -209,7 +209,7 @@ object PAMmodel { var verb = false } - def runit(nfeats:Int, nsamps:Int, ncenters:Int) = { + def runit(nsamps:Int, nfeats:Int, ncenters:Int) = { println("Generating dataset") val c = rand(ncenters, nfeats) val a = rand(nsamps, nfeats)*0.3f @@ -222,9 +222,9 @@ object PAMmodel { def main(args:Array[String]) = { Mat.checkCUDA - val nfeats= args(0).toInt - val nsamps = args(1).toInt + val nsamps= args(0).toInt + val nfeats = args(1).toInt val ncenters = args(2).toInt - runit(nfeats, nsamps, ncenters) + runit(nsamps, nfeats, ncenters) } } From f1649759e5d4cf6a1698cb98cb7ed4fcf18eee08 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 16 Mar 2013 00:28:06 -0700 Subject: [PATCH 038/385] updated jar --- BIDMach.jar | Bin 119804 -> 119896 bytes src/main/scala/BIDMach/Clustering.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index fcc9537f692d85cb64500c4dc4148071bec65f18..a2e143074af82c98fd92ddfd256b9fd8c26d45fb 100755 GIT binary patch delta 12987 zcmZvC1yq|`(=NfC7I!Ny#oZ~cg`&ls;;x0@u0?`7#WlFQTS{>$QlxmXLV z>QVu4&k7DCA}|=v_xS(CU`#q}VOJ zr(hSf8yB=24Nt&2g4ocqrh3pGk2S%#!pliwQ&PPMdP7MFeZ!M>@KaH7qtGZbVtm-5 zdz0f{O#zwlapnQ0FY(1 z?uK1R!zKX>fk~s+=DR(48M4YNgDY4qo;xDBIUWOI+#r>rt9?sF?P$Yl{CURuoa*8d zNpGKWiMqzs330`YKA*RyBGx8(sQo$>#kE0NdOSKGL}WD^ifCCraUS++Ax?!Dun2sy zqpU0lBp8dV$B2L7p;u|7tuB^sTn3cD_$rv-FBH6kf_lHiOM;1qP zLY6*|t05ovgcmW*2kFIaVmwJF^i3fLnU!Degv3gplBtlV9qAoB(j+6YSKAGOi3nYL zxHo>@)4VsIZxe|V9tx^UOc40oEB}54#g)(;uWkmuIQ)wzwtF*ChJ;#m@L}X6V~F~1 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z;eR&6CmR9ef`HiQz*+xMS3Ie!IiJ-8VA)Op5Bz5sAc9E|dsbnCnMVMu=cy~FM-38c1i;rISMd6V};?^?pDJ>L5V>+;D5LN5j+iXdd33AAhg`Tq+|cOPXV%q zAu$BN$NG@g^Bw~TpUW7oVp@p;!C6Itf+GAMUe!hbnAsR|t&WcYOpsprGX^jqJyl-Q z7hGfl?i>ejp^>e?(c@1CJpP{p9*1zPwSLn6rO^ygz`S+^z)tRvazHLJ?B}#9ZSWk~ zs8CSecu-Iz|C9FG?b(+UJU;R7gw!S=m>Yp$`w4*IIe6lBen1cn3d#@v|Iaxn7y#b~ zKXLv~@CqdOiTuRBMt^)AwyOm>gFZ<8{NHM+wjBnS%}F$qXQ`eg+21U-}u z#+(9Vpc_lUx>Jx#ioOC!=rkq**H1x?9lh>fQ(R2}oX}@Y;L%9{AKzC^5f1)oZ%UBA OeOxH0yH-d8K>dHgM3=n) diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index 0e18f817..c1ff593e 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -13,6 +13,7 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { val options = opts var maxdepth = 0 var nspills = 0 + var bestc:IMat = null def init(a0:FMat) = { a = a0 @@ -143,7 +144,6 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { Mat.nflops += math.round(math.log(size(ds,1))/math.log(2.0))*size(ds,1)*size(ds,2) val ft2 = gflop println("Sort in %f seconds, %f gcomps" format (ft2._2,ft2._1)) - var bestc:IMat = null var bestv:DMat = null var besti:IMat = null var bestvd = Double.MaxValue From 141a991473683005599b9f6157376b898359a2e2 Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 26 May 2013 15:39:19 -0700 Subject: [PATCH 039/385] fixes to Learner --- src/main/scala/BIDMach/Learner.scala | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index be34404b..6749d6eb 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -87,7 +87,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, var tsecs:Double = options.secprint var nsteps:Long = 0 val curdevice = 0 - device(0) + setGPU(0) val (targetm, targettest) = model.initmodel(datamat0, targetmat0, datatest0, targtest0) targetmat = targetm updater.initupdater(model) @@ -96,13 +96,13 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, val nmodel = model.asInstanceOf[FactorModel] models(0) = nmodel for (i <- 1 until numthreads) { - device(i) + setGPU(i) if (curdevice != i) connect(curdevice) models(i) = model.make(model.options).asInstanceOf[FactorModel] models(i).initmodel(datamat0, ones(1,1), datatest0, ones(1,1)) } // println("got here 2") - device(curdevice) + setGPU(curdevice) updater.initupdater(model) if (regularizer != null) regularizer.initregularizer var blocksize = options.blocksize @@ -122,7 +122,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, // var ithread = 0 for (ithread <- 0 until numthreads) { scala.actors.Actor.actor { - device(ithread) + setGPU(ithread) if (ithread == curdevice) models(ithread).modelmat <-- model.modelmat val iloc = ipos + ithread*blocksize var iend = math.min(n, iloc+blocksize) @@ -142,7 +142,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, } // println("got here 5") while (sum(done).dv < numthreads) {Thread.sleep(10)} - device(curdevice) + setGPU(curdevice) // println("got here 6") for (ithread <- 1 until numthreads) { model.updatemat ~ model.updatemat + models(ithread).updatemat From 6ae83498920dab898478734cabc50c8f78db0703 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 27 May 2013 00:23:39 -0700 Subject: [PATCH 040/385] first pass at GLMmodel --- src/main/scala/BIDMach/Model.scala | 10 +++--- src/main/scala/BIDMach/Regression.scala | 43 ++++++++----------------- 2 files changed, 20 insertions(+), 33 deletions(-) diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index 00d42105..cfb79a25 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -9,6 +9,10 @@ abstract class Model { var modelmats:Array[Mat] = null + var updatemats:Array[Mat] = null + + var datamats:Array[Mat] = null + var regularizer:Regularizer = null var updater:Updater = null @@ -17,11 +21,9 @@ abstract class Model { def initmodel:Unit - def doblock(datamats:Array[Mat], updatemats:Array[Mat]):Unit - - def regularize:Unit + def doblock(istart:Int, iend:Int):Unit - def evalfun:Double + def evalfun(istart:Int, iend:Int):Mat } diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index 0bce7431..f75d0caf 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -4,30 +4,7 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -class LinearPredictor { - - def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat = linearDeriv(targ, pred, lls) - def linearDeriv(targ:Mat, pred:Mat, lls:Mat):Mat= { - val diff = targ - pred - lls ~ lls - diff ∙∙ diff - 2 * diff - } -} - -class LogisticPredictor { - - def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat = logisticDeriv(targ, pred, lls) - - def logisticDeriv(targ:Mat, pred:Mat, lls:Mat):Mat= { - val mpred = max(-40, min(40, pred)) - val tp = (2 * targ - 1) - val ep = exp(tp ∘ mpred) - val expp1 = ep + 1 - lls ~ lls - sum(1 / expp1, 2) - tp ∘ ep / expp1 / expp1 - } -} abstract class RegressionModel(opts:RegressionModel.Options) extends Model { @@ -43,16 +20,24 @@ abstract class RegressionModel(opts:RegressionModel.Options) def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat - override def doblock(datamats:Array[Mat], updatemats:Array[Mat]):Unit = { - val sdata = datamats(0) - val target = datamats(1) - val model = modelmats(0) + def llfun(targ:Mat, pred:Mat):Mat + + override def doblock(istart:Int, iend:Int):Unit = { + val range = istart -> iend + val sdata = datamats(0)(?, range) + val target = datamats(1)(?, range) val mupdate = updatemats(0) - val mvals = model * sdata - val dd = derivfn(target, mvals, lls) + val dd = derivfn(target, sdata, lls) mupdate ~ mupdate + dd *^ sdata } + + def evalfun(istart:Int, iend:Int):Mat = { + val range = istart -> iend + val sdata = datamats(0)(?, range) + val target = datamats(1)(?, range) + llfun(target, sdata) + } } From 03c5e1f4e6217c0db9f2d47368bae120911fe300 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 27 May 2013 23:05:54 -0700 Subject: [PATCH 041/385] updater v1 --- src/main/scala/BIDMach/Model.scala | 6 +- src/main/scala/BIDMach/Regression.scala | 22 ++- src/main/scala/BIDMach/Regularizer.scala | 3 +- src/main/scala/BIDMach/Updater.scala | 192 +++++------------------ 4 files changed, 51 insertions(+), 172 deletions(-) diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index cfb79a25..60f27e56 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -11,8 +11,6 @@ abstract class Model { var updatemats:Array[Mat] = null - var datamats:Array[Mat] = null - var regularizer:Regularizer = null var updater:Updater = null @@ -21,9 +19,9 @@ abstract class Model { def initmodel:Unit - def doblock(istart:Int, iend:Int):Unit + def doblock(datamats:Array[Mat]):Unit - def evalfun(istart:Int, iend:Int):Mat + def evalfun(datamats:Array[Mat]):Mat } diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index f75d0caf..c52fd592 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -18,25 +18,23 @@ abstract class RegressionModel(opts:RegressionModel.Options) lls = if (opts.useGPU) gzeros(opts.nmodels, 1) else zeros(opts.nmodels, 1) } - def derivfn(targ:Mat, pred:Mat, lls:Mat):Mat + def derivfn(sdata:Mat, targ:Mat, lls:Mat):Mat - def llfun(targ:Mat, pred:Mat):Mat + def llfun(sdata:Mat, targ:Mat):Mat - override def doblock(istart:Int, iend:Int):Unit = { - val range = istart -> iend - val sdata = datamats(0)(?, range) - val target = datamats(1)(?, range) + override def doblock(datamats:Array[Mat]):Unit = { + val sdata = datamats(0) + val target = datamats(1) val mupdate = updatemats(0) - val dd = derivfn(target, sdata, lls) + val dd = derivfn(sdata, target, lls) mupdate ~ mupdate + dd *^ sdata } - def evalfun(istart:Int, iend:Int):Mat = { - val range = istart -> iend - val sdata = datamats(0)(?, range) - val target = datamats(1)(?, range) - llfun(target, sdata) + def evalfun(datamats:Array[Mat]):Mat = { + val sdata = datamats(0) + val target = datamats(1) + llfun(sdata, target) } } diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala index e043fd2f..542a207a 100755 --- a/src/main/scala/BIDMach/Regularizer.scala +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -30,6 +30,5 @@ class L2Regularizer(opts:Regularizer.Options = new Regularizer.Options) extends object Regularizer { class Options { - var mprior:Float = 1e-7f - } + var mprior:Float = 1e-7f } } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index b4451bc8..30cdd231 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -10,146 +10,20 @@ trait Updater { def initupdater(model:Model):Unit; } -/* -class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { - val options = opts - var nsteps = 0L - var updatesum = blank - var updateDenomsum = blank - var ratio = blank - var msum = blank - var tmp0 = blank - var tmp1 = blank - var model:FactorModel = null - - def initupdater(model0:Model) = { - nsteps = 0 - model = model0.asInstanceOf[FactorModel] - val modelmat = model.modelmat - updatesum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) - updateDenomsum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) - } - - def update(step:Int):Unit = { - val nw = (options.gradwindow/step) - val modelmat = model.modelmat - val updatemat = model.updatemat - val updateDenom = model.updateDenom - val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] - - updatesum ~ updatesum + updatemat - updateDenomsum ~ updateDenomsum + updateDenom -// println("updatesum\n"+updatesum.asInstanceOf[FMat](0->4,0->8).toString) -// println("updateDenomsum\n"+updateDenomsum.asInstanceOf[FMat](0->4,0).toString) - - if (nsteps >= model.nusers) { - ratio = ratio ~ updatesum / updateDenomsum -// println(ratio.asInstanceOf[FMat](0->4,0->8).toString) - max(0.001f, min(1000f, ratio, ratio), ratio) - println("updating ratio norm %f" format norm(ln(ratio.asInstanceOf[FMat](?)))) - val fmodelmat = modelmat.asInstanceOf[FMat] -// println("modelmat = " + fmodelmat(0,0)) -// println("norm modelmat %f" format norm(modelmat)) - modelmat ~ modelmat *@ ratio -// println("norm modelmat %f" format norm(modelmat)) - updatesum.clear - updateDenomsum.clear - nsteps = 0 - msum = sum(modelmat, 2, msum) - modelmat ~ modelmat / msum - println("norm modelmat %f" format norm(modelmat)) - } - nsteps += step - } -} - -class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { - - var ratio = blank - var msum = blank - var tmp0 = blank - var tmp1 = blank - var diff = blank - var sumSq:Mat = null - val options = opts - var nsteps = options.initnsteps - var lastdiff:Mat = null - var model:FactorModel = null - - def update(step:Int):Unit = update1(step) - - def initupdater(model0:Model) = { - model = model0.asInstanceOf[FactorModel] - nsteps = options.initnsteps - val modelmat = model.modelmat - lastdiff = modelmat.zeros(size(modelmat,1),size(modelmat,2)) - nsteps = options.initnsteps - if (sumSq.asInstanceOf[AnyRef] == null) { - sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq - } else { - sumSq.set(options.initsumsq) - } - } - - def update1(step:Int):Unit = { - val nw = (options.gradwindow/step) - val modelmat = model.modelmat - val updatemat = model.updatemat - val updateDenom = model.updateDenom -// println("updater norm modelmat=%f, updatemat=%f, updatedenom=%f" format (norm(modelmat),norm(updatemat),norm(updateDenom))) - val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] - - val weight = options.alpha * math.sqrt(options.initnsteps/nsteps).asInstanceOf[Float] -// val weight = options.alpha * math.sqrt(math.sqrt(options.initnsteps/nsteps)).asInstanceOf[Float] -// val weight = options.alpha -// println("updater min updatedenom=%f" format mini(updateDenom(?,10), 1).dv) -// println("sizes %d,%d %d,%d" format (size(updatemat,1),size(updatemat,2),size(updateDenom,1),size(updateDenom,2))) - ratio = ratio ~ updatemat / updateDenom - ratio = ratio ~ ratio / modelmat -// ratio = updatemat.asInstanceOf[FMat] /@ updateDenom.asInstanceOf[FMat] -// println("updater norm ratio=%f" format norm(ratio)) -// println("minmax %f,%f" format (maxi(maxi(updatemat,1),2).dv , mini(mini(updateDenom,1),2).dv)) - max(0.01f, min(100f, ratio, ratio), ratio) - diff = ln(ratio, diff) - -// diff = diff ~ updatemat - updateDenom -/* diff ~ diff *@ modelmat - tmp0 = tmp0 ~ diff *@ diff - tmp1 = tmp1 ~ sumSq * (nw-1) - tmp0 ~ tmp0 + tmp1 - sumSq ~ tmp0 * (1/nw)*/ - -// if (nsteps > options.waitsteps) { -// diff ~ diff /@ sqrt(tmp0 ~ sumSq*(options.alpha * nsteps / options.initnsteps), tmp1) - diff ~ diff *@ weight - max(-1f, min(1f, diff, diff), diff) -// println("mean diff=%f" format mean(abs(diff.asInstanceOf[FMat])(?)).dv) - ratio = exp(diff, ratio) - modelmat ~ modelmat *@ ratio - max(options.minmodel, modelmat, modelmat) -// } - - msum = sum(modelmat, 2, msum) -// msum ~ msum *@ sdim - modelmat ~ modelmat / msum - nsteps += step - } -} - class ADAGradUpdater(opts:Updater.Options = new Updater.Options) extends Updater { - - var tmp0 = blank - var tmp1 = blank val options = opts var nsteps = 0f - var model:FactorModel = null + var model:Model = null + var modelmat:Mat = null + var updatemat:Mat = null var sumSq:Mat = null def initupdater(model0:Model) = { - model = model0.asInstanceOf[FactorModel] - val modelmat = model.modelmat + model = model0 + modelmat = model.modelmats(0) + updatemat = model.updatemats(0) nsteps = options.initnsteps if (sumSq.asInstanceOf[AnyRef] == null) { sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq @@ -161,41 +35,50 @@ class ADAGradUpdater(opts:Updater.Options = new Updater.Options) extends Updater def update(step:Int):Unit = update1(step) def update1(step:Int):Unit = { - val modelmat = model.modelmat - val updatemat = model.updatemat + val nw = (options.gradwindow/step) - tmp0 = tmp0 ~ updatemat *@ updatemat - tmp1 = tmp1 ~ sumSq * (nw-1) - tmp0 ~ tmp0 + tmp1 - sumSq ~ tmp0 * (1/nw) + val ee = options.exponent + val alpham = options.alpha + sumSq ~ (sumSq * (nw-1) + updatemat *@ updatemat) * (1/nw) if (nsteps > options.waitsteps) { - sqrt(tmp0 ~ sumSq*nsteps, tmp1) - modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat / tmp1) * options.alpha) + val tmp = (sumSq*nsteps) ^ ee + modelmat ~ modelmat + ((updatemat / tmp) * alpham) } nsteps += step } def update2(step:Int):Unit = { - val modelmat = model.modelmat - val updatemat = model.updatemat - val nw = (options.gradwindow/step) + val nwm = options.gradwindow/step + val alpham = options.alpha val fmodel = modelmat.asInstanceOf[FMat] val fsumSq = sumSq.asInstanceOf[FMat] val fupdate = updatemat.asInstanceOf[FMat] - val ftmp0 = recycleTry(tmp0, fmodel).asInstanceOf[FMat] - val ftmp1 = recycleTry(tmp1, fmodel).asInstanceOf[FMat] + val ftmp0 = fmodel + 0 + val ftmp1 = fmodel + 1 var i = 0 - while (i < modelmat.length) { - fsumSq.data(i) = 1/nw*(fupdate.data(i)*fupdate.data(i) + (nw-1)*fsumSq.data(i)) - ftmp0.data(i) = nsteps * fsumSq.data(i) + while (i < modelmat.ncols) { + var j = 0 + while (j < modelmat.nrows) { + val indx = j + i * modelmat.nrows + val nw = if (nwm.length > 1) nwm(i) else nwm(0) + fsumSq.data(indx) = 1/nw*(fupdate.data(indx)*fupdate.data(indx) + (nw-1)*fsumSq.data(indx)) + ftmp0.data(indx) = nsteps * fsumSq.data(indx) + j += 1 + } i += 1 } if (nsteps > options.waitsteps) { - sqrt(ftmp0, ftmp1) + ftmp1 ~ ftmp0 ^ options.exponent i = 0 - while (i < modelmat.length) { - fmodel.data(i) = fmodel.data(i) + options.alpha*fupdate.data(i)/ftmp1.data(i) + while (i < modelmat.ncols) { + var j = 0 + while (j < modelmat.nrows) { + val indx = j + i * modelmat.nrows + val alpha = if (alpham.length > 1) alpham(i) else alpham(0) + fmodel.data(indx) = fmodel.data(indx) + alpha*fupdate.data(indx)/ftmp1.data(indx) + j += 1 + } i += 1 } } @@ -206,11 +89,12 @@ class ADAGradUpdater(opts:Updater.Options = new Updater.Options) extends Updater object Updater { class Options { - var gradwindow:Float = 1e6f - var alpha:Float = 100f + var gradwindow:FMat = 1e6f + var alpha:FMat = 100f + var exponent:FMat = 0.5f var initnsteps:Float = 1000f var initsumsq:Float = 1e-4f var waitsteps = 200000 var minmodel = 1e-7f } -}*/ +} From 049a666d263d6ce20f7ad4dbe93d4dbb1768111f Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 29 May 2013 00:24:48 -0700 Subject: [PATCH 042/385] added DataSource --- src/main/scala/BIDMach/Regularizer.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala index 542a207a..1f11c680 100755 --- a/src/main/scala/BIDMach/Regularizer.scala +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -30,5 +30,5 @@ class L2Regularizer(opts:Regularizer.Options = new Regularizer.Options) extends object Regularizer { class Options { - var mprior:Float = 1e-7f } + var mprior:FMat = 1e-7f } } From 28532a1aeffcec636e8e66a8ea1c62187b9b5936 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 9 Jul 2013 20:15:39 -0700 Subject: [PATCH 043/385] fix datasource bug --- src/main/scala/BIDMach/DataSource.scala | 122 ++++++++++++++++++++++++ 1 file changed, 122 insertions(+) create mode 100755 src/main/scala/BIDMach/DataSource.scala diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala new file mode 100755 index 00000000..394bc846 --- /dev/null +++ b/src/main/scala/BIDMach/DataSource.scala @@ -0,0 +1,122 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ + +abstract class DataSource(opts:DataSource.Options = new DataSource.Options) { + val options = opts + + def next:Array[Mat] + + def hasNext:Boolean +} + +class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Options) extends DataSource(opts) { + val sizeMargin = opts.sizeMargin + var here = 0 + val blockSize = opts.blockSize + var omats:Array[Mat] = null + + def init = { + here = 0 + omats = new Array[Mat](mats.length) + for (i <- 0 until mats.length) { + omats(i) = mats(i) match { + case mm:SMat => SMat(mats(i).nrows, blockSize, (mats(i).nnz * sizeMargin * blockSize / mats(i).ncols).toInt) + case mm:SDMat => SDMat(mats(i).nrows, blockSize, (mats(i).nnz * sizeMargin * blockSize / mats(i).ncols).toInt) + case _ => mats(i).zeros(mats(i).nrows, blockSize) + } + } + } + + def next:Array[Mat] = { + val there = math.min(here+blockSize, mats(0).ncols) + for (i <- 0 until mats.length) { + omats(i) = mats(i).colslice(here, there, omats(i)) + } + here = math.min(here+blockSize, mats(0).ncols) + omats + } + + def hasNext:Boolean = { + here < mats(0).ncols + } + +} + +class FilesDataSource(fnames:Array[CSMat], opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { + val sizeMargin = opts.sizeMargin + val blockSize = opts.blockSize + var fileno = 0 + var colno = 0 + var omats:Array[Mat] = null + var matqueue:Array[Array[Mat]] = null + var ready:IMat = null + + def init = { + fileno = 0 + colno = 0 + omats = new Array[Mat](fnames.size) + matqueue = new Array[Array[Mat]](fnames.size) + ready = IMat(fnames.size, opts.lookahead) + for (i <- 0 until fnames.size) { + val mm = HMat.loadMat(fnames(i)(0)) + omats(i) = mm match { + case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) + case mm:SDMat => SDMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) + case _ => mm.zeros(mm.nrows, blockSize) + } + matqueue(i) = new Array[Mat](opts.lookahead) + } + } + + def next:Array[Mat] = { + val filex = fileno % opts.lookahead + var donextfile = false + var todo = 0 + for (i <- 0 until fnames.size) { + while (ready(i, filex) == 0) Thread.`yield` + val matq = matqueue(i)(filex) + val ccols = math.min(colno + blockSize, matq.ncols) + omats(i)(?, 0 -> (ccols - colno)) = matq(?, colno -> ccols) + if (ccols - colno < blockSize) { + ready(i, filex) = 0 + todo = blockSize - ccols + colno + donextfile = true + + if (fileno+1 < fnames(0).length) { + val filey = filex + 1 + val matq = matqueue(i)(filey) + while (ready(i, filey) == 0) Thread.`yield` + omats(i)(?, (ccols - colno) -> blockSize) = matq(?, 0 -> todo) + } + } + } + if (donextfile) { + colno = todo + } else { + colno += blockSize + } + omats + } + + def hasNext:Boolean = { + true + } +} + +object FilesDataSource { + class Options extends DataSource.Options { + var lookahead = 8 + } + + def dateid(yy:Int, mm:Int, dd:Int) = 372*yy + 31*mm + dd +} + +object DataSource { + class Options { + var blockSize = 10000 + var sizeMargin = 5f + } + +} From 7d7fe48c64f4325ce2be75d323d9340c261221f0 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 9 Jul 2013 20:28:17 -0700 Subject: [PATCH 044/385] fix datasource bug --- src/main/scala/BIDMach/Sampler.scala | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100755 src/main/scala/BIDMach/Sampler.scala diff --git a/src/main/scala/BIDMach/Sampler.scala b/src/main/scala/BIDMach/Sampler.scala new file mode 100755 index 00000000..7cb9d3b2 --- /dev/null +++ b/src/main/scala/BIDMach/Sampler.scala @@ -0,0 +1,22 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,GMat,GIMat,GSMat,HMat,IMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ + +abstract class Sampler { + + val options:Sampler.Options + + def insample(pos:Int, modelnum:Int):Int = 1 + + def outsample(mat:Mat):Unit = {} + + +} + + +object Sampler { + class Options { + + } +} From 9e7c46f01da4bb3cbcb293fd98f2f70b194cf1bb Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 01:12:05 -0700 Subject: [PATCH 045/385] changes to datasource --- src/main/scala/BIDMach/DataSource.scala | 65 ++++++++++++++++--------- 1 file changed, 42 insertions(+), 23 deletions(-) diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index 394bc846..df1fae65 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -2,6 +2,7 @@ package BIDMach import BIDMat.{Mat,BMat,CMat,CSMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ +import scala.actors._ abstract class DataSource(opts:DataSource.Options = new DataSource.Options) { val options = opts @@ -17,7 +18,7 @@ class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Op val blockSize = opts.blockSize var omats:Array[Mat] = null - def init = { + def init() = { here = 0 omats = new Array[Mat](mats.length) for (i <- 0 until mats.length) { @@ -44,7 +45,8 @@ class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Op } -class FilesDataSource(fnames:Array[CSMat], opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { +class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, + opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { val sizeMargin = opts.sizeMargin val blockSize = opts.blockSize var fileno = 0 @@ -54,13 +56,13 @@ class FilesDataSource(fnames:Array[CSMat], opts:FilesDataSource.Options = new Fi var ready:IMat = null def init = { - fileno = 0 - colno = 0 + fileno = 0 // Number of the current output file + colno = 0 // Column number in the current output file omats = new Array[Mat](fnames.size) - matqueue = new Array[Array[Mat]](fnames.size) - ready = IMat(fnames.size, opts.lookahead) + matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix + ready = IMat(opts.lookahead, 1) // Numbers of files currently loaded in queue for (i <- 0 until fnames.size) { - val mm = HMat.loadMat(fnames(i)(0)) + val mm = HMat.loadMat(dirname(0) + fnames(i)) omats(i) = mm match { case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) case mm:SDMat => SDMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) @@ -68,40 +70,57 @@ class FilesDataSource(fnames:Array[CSMat], opts:FilesDataSource.Options = new Fi } matqueue(i) = new Array[Mat](opts.lookahead) } + for (i <- 0 until opts.lookahead) { + Actor.actor { + prefetch(i) + } + } } def next:Array[Mat] = { val filex = fileno % opts.lookahead var donextfile = false var todo = 0 + while (ready(filex) < fileno) Thread.`yield` for (i <- 0 until fnames.size) { - while (ready(i, filex) == 0) Thread.`yield` - val matq = matqueue(i)(filex) - val ccols = math.min(colno + blockSize, matq.ncols) - omats(i)(?, 0 -> (ccols - colno)) = matq(?, colno -> ccols) - if (ccols - colno < blockSize) { - ready(i, filex) = 0 - todo = blockSize - ccols + colno - donextfile = true - - if (fileno+1 < fnames(0).length) { - val filey = filex + 1 + val matq = matqueue(i)(filex) + val ccols = math.min(colno + blockSize, matq.ncols) + omats(i) = matq(?, colno -> ccols) + if (ccols - colno <= blockSize) { + todo = blockSize - ccols + colno + donextfile = true + if (todo > 0) { + if (fileno+1 < ndirs) { + val filey = (filex + 1) % opts.lookahead + while (ready(filey) < fileno+1) Thread.`yield` val matq = matqueue(i)(filey) - while (ready(i, filey) == 0) Thread.`yield` - omats(i)(?, (ccols - colno) -> blockSize) = matq(?, 0 -> todo) - } + omats(i) = omats(i) \ matq(?, 0 -> todo) + } } + } } if (donextfile) { colno = todo + fileno += 1 } else { - colno += blockSize + colno += blockSize } omats } + def prefetch(ifile:Int) = { + ready(ifile) = ifile - opts.lookahead + for (inew <- ifile until ndirs by opts.lookahead) { + while (ready(ifile) >= fileno) Thread.`yield` + for (i <- 0 until fnames.size) { + matqueue(i)(ifile) = HMat.loadMat(dirname(inew) + fnames(i)) + } + ready(ifile) = inew + } + } + def hasNext:Boolean = { - true + (fileno < ndirs) } } From 0c6d9ac3ecb5cba181e7db37f2671b859c41e3b6 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 02:08:37 -0700 Subject: [PATCH 046/385] changes to DataSource --- BIDMach.jar | Bin 50126 -> 55477 bytes src/main/scala/BIDMach/DataSource.scala | 43 +++++++++++++++--------- 2 files changed, 27 insertions(+), 16 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index b6ed018686560023981013dcbe147d164966ddcf..e01d38bc2f58ac399d539f016e2a3dd62421bc2b 100755 GIT binary patch delta 36966 zcmbTeV~{7^*DYAKZQHiZF59-vU)gqbsmr#yY}>9b+jdPq_kHKy`9C-A#Kh#6j688Z zWX6fT_S$Q&ozvl<&Gn%0in5?!Xh2XFecd*!?6 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class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, val filex = fileno % opts.lookahead var donextfile = false var todo = 0 + var ccols = 0 while (ready(filex) < fileno) Thread.`yield` for (i <- 0 until fnames.size) { val matq = matqueue(i)(filex) - val ccols = math.min(colno + blockSize, matq.ncols) + ccols = math.min(colno + blockSize, matq.ncols) omats(i) = matq(?, colno -> ccols) - if (ccols - colno <= blockSize) { - todo = blockSize - ccols + colno - donextfile = true - if (todo > 0) { - if (fileno+1 < ndirs) { - val filey = (filex + 1) % opts.lookahead - while (ready(filey) < fileno+1) Thread.`yield` - val matq = matqueue(i)(filey) - omats(i) = omats(i) \ matq(?, 0 -> todo) - } - } - } } - if (donextfile) { + if (ccols - colno <= blockSize) { + todo = blockSize - ccols + colno colno = todo - fileno += 1 + if (todo > 0) { + var done = false + while (!done && fileno+1 < ndirs) { + val filey = (fileno+1) % opts.lookahead + while (ready(filey) < fileno+1) Thread.`yield` + if (matqueue(0)(filey) != null) { + for (i <- 0 until fnames.size) { + val matq = matqueue(i)(filey) + omats(i) = omats(i) \ matq(?, 0 -> todo) + } + done = true + } + fileno += 1 + } + } } else { colno += blockSize } omats } + def fileExists(fname:String) = { + val testme = new File(fname) + testme.exists + } + def prefetch(ifile:Int) = { ready(ifile) = ifile - opts.lookahead for (inew <- ifile until ndirs by opts.lookahead) { while (ready(ifile) >= fileno) Thread.`yield` + val fexists = fileExists(dirname(inew) + fnames(0)) for (i <- 0 until fnames.size) { - matqueue(i)(ifile) = HMat.loadMat(dirname(inew) + fnames(i)) + matqueue(i)(ifile) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null } ready(ifile) = inew } From 01b967a1164a5d9a47fd999b27a4b75e9342f1b1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 10:44:54 -0700 Subject: [PATCH 047/385] changes to DataSource --- BIDMach.jar | Bin 55477 -> 95005 bytes 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zS0gAvMjqT@Lj-PjLWJBJ0nndbR6I_Fr7~pL7{K%d0$whJ_Yw7&|ATtC#v@+DkdJr( zM97}i-vUnbpaR}#K``_Id`|)<{pRD}Lnq+?Itg-rXrH7D`Ctpse&YIPo<;r#*9Su= z8bFAHJplJf!?btM4#FKEP456SPlUIQP{N5LtaQ)FXITl=b zzyo2i`+J1{+!U$);ABk%*A3A8&o=+*5GnrPyia;uYGBcyf6d^N_WEX@cTAvc0s{Zm zULhHBt`DGlw3sD(C^{Dnk1K%s(Tfs44QWUhIwaF(Fg7eD-j=zg1g#TzOgj bkh^yPN_+&U7SNlb&_7h@@j&9>plY8 diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index f1ed09bb..bdee61fe 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -46,24 +46,24 @@ class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Op } -class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, +class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { val sizeMargin = opts.sizeMargin val blockSize = opts.blockSize - var fileno = 0 + var fileno = nstart var colno = 0 var omats:Array[Mat] = null var matqueue:Array[Array[Mat]] = null var ready:IMat = null def init = { - fileno = 0 // Number of the current output file + fileno = nstart // Number of the current output file colno = 0 // Column number in the current output file omats = new Array[Mat](fnames.size) matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix - ready = IMat(opts.lookahead, 1) // Numbers of files currently loaded in queue + ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue for (i <- 0 until fnames.size) { - val mm = HMat.loadMat(dirname(0) + fnames(i)) + val mm = HMat.loadMat(dirname(nstart) + fnames(i)) omats(i) = mm match { case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) case mm:SDMat => SDMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) @@ -73,7 +73,7 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, } for (i <- 0 until opts.lookahead) { Actor.actor { - prefetch(i) + prefetch(nstart + i) } } } @@ -85,30 +85,30 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, var ccols = 0 while (ready(filex) < fileno) Thread.`yield` for (i <- 0 until fnames.size) { - val matq = matqueue(i)(filex) - ccols = math.min(colno + blockSize, matq.ncols) - omats(i) = matq(?, colno -> ccols) + val matq = matqueue(i)(filex) + ccols = math.min(colno + blockSize, matq.ncols) + omats(i) = matq(?, colno -> ccols) } if (ccols - colno <= blockSize) { - todo = blockSize - ccols + colno - colno = todo - if (todo > 0) { - var done = false - while (!done && fileno+1 < ndirs) { - val filey = (fileno+1) % opts.lookahead - while (ready(filey) < fileno+1) Thread.`yield` - if (matqueue(0)(filey) != null) { - for (i <- 0 until fnames.size) { - val matq = matqueue(i)(filey) - omats(i) = omats(i) \ matq(?, 0 -> todo) - } - done = true - } - fileno += 1 - } - } + todo = blockSize - ccols + colno + colno = todo + if (todo > 0) { + var done = false + while (!done && fileno+1 < nend) { + val filey = (fileno+1) % opts.lookahead + while (ready(filey) < fileno+1) Thread.`yield` + if (matqueue(0)(filey) != null) { + for (i <- 0 until fnames.size) { + val matq = matqueue(i)(filey) + omats(i) = omats(i) \ matq(?, 0 -> todo) + } + done = true + } + fileno += 1 + } + } } else { - colno += blockSize + colno += blockSize } omats } @@ -119,28 +119,44 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, ndirs:Int, } def prefetch(ifile:Int) = { - ready(ifile) = ifile - opts.lookahead - for (inew <- ifile until ndirs by opts.lookahead) { - while (ready(ifile) >= fileno) Thread.`yield` - val fexists = fileExists(dirname(inew) + fnames(0)) - for (i <- 0 until fnames.size) { - matqueue(i)(ifile) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null - } - ready(ifile) = inew - } + ready(ifile) = ifile - opts.lookahead + for (inew <- ifile until nend by opts.lookahead) { + while (ready(ifile) >= fileno) Thread.`yield` + val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) + for (i <- 0 until fnames.size) { + matqueue(i)(ifile) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null + } + ready(ifile) = inew + } } def hasNext:Boolean = { - (fileno < ndirs) + (fileno < nend) } } object FilesDataSource { class Options extends DataSource.Options { var lookahead = 8 + var sampleFiles = 1.0f } - def dateid(yy:Int, mm:Int, dd:Int) = 372*yy + 31*mm + dd + def encodeDate(yy:Int, mm:Int, dd:Int) = 372*yy + 31*mm + dd + + def decodeDate(n:Int):(Int, Int, Int) = { + val yy = (n - 32) / 372 + val days = n - 32 - 372 * yy + val mm = days / 31 + 1 + val dd = days - 31 * (mm - 1) + 1 + (yy, mm, dd) + } + + def sampleFun:(Int)=>String = { + (n:Int) => { + val (yy, mm, dd) = decodeDate(n) + ("/disk%02d/%04d/%02d/%02d/" format (n % 16, yy, mm, dd)) + } + } } object DataSource { From f3a9544058c3c810ff4e5d0fb221046e045530b5 Mon 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zqJhlRrP{xw{`&_J{|~E*7YK0+1>!-nqJf-n%fgV!Xy7}zFQR|Fi6IEF|K1FR7$7Nn zpCS+-^-e~`%)*uf0*eMxKw|#5ft--y7@#7Ywi@Iz1}F*Np$UW}XaNZ!DzQKocrRTb zL|G3=3Q7KB!C9L@dSd@@<}86=&ex<6iZ~!Ee7ijm67TSbVjcHqLXPXdrkBP6aga*g Jfq%aD{{Y^Y&jString = { + def sampleFun(middle:String):(Int)=>String = { (n:Int) => { val (yy, mm, dd) = decodeDate(n) - ("/disk%02d/%04d/%02d/%02d/" format (n % 16, yy, mm, dd)) + ("/disk%02d/" + middle + "%04d/%02d/%02d/" format (n % 16, yy, mm, dd)) } } } From 1c611488d937bc94a7c158ca6de20c7132a19278 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 11:17:36 -0700 Subject: [PATCH 050/385] sampleFun working --- BIDMach.jar | Bin 102080 -> 102134 bytes src/main/scala/BIDMach/DataSource.scala | 7 ++++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 3c91705c5f54183912e2fb8a01d59919351f1b77..a815b00f7d737901e701ab65a32cf7fb46d38df4 100755 GIT binary patch delta 9812 zcmZ8{WmFwY(=Ho_jk~*hu;A|QfsG}&L$Kh3y9UBWg1ZI@F2M;7!QEYxpb2u}d~(nG 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prefetch(ifile:Int) = { - ready(ifile) = ifile - opts.lookahead + val ifilex = ifile % opts.lookahead + ready(ifilex) = ifile - opts.lookahead for (inew <- ifile until nend by opts.lookahead) { - while (ready(ifile) >= fileno) Thread.`yield` + while (ready(ifilex) >= fileno) Thread.`yield` val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { matqueue(i)(ifile) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null } - ready(ifile) = inew + ready(ifilex) = inew } } From adee437c32845ebb780f448b2af22fc10240af66 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 11:20:57 -0700 Subject: [PATCH 051/385] sampleFun working --- BIDMach.jar | Bin 102134 -> 102111 bytes src/main/scala/BIDMach/DataSource.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index a815b00f7d737901e701ab65a32cf7fb46d38df4..8406c422fb466a7a3d233897821d517074a8a89b 100755 GIT binary 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zd00u3-_+5(^TR=0!2#07eJLRC$z$SUJ%Q(s8UEo3WD`6t-68(U|L?^Df-f3yWc(}oZ+}Su>Ayn`6-bslWcXe`S=2q6mQKACn0bs=}cF5>hSlV?_V8h;&Hw zFO`58z(q&}0672f|NGuOzIy)|og{zx6bP|MfQaF*x7z%(O)Dr!NTwJ_NZkJ+A|X9t zMVP|@azq>_fQ>L?1#l3FFaYP#$7~oti|oevzgjW`XCQ#{k2T^#gs|_Uqw$Z9()=H5 zE8u_mcVGYmQ6BM+AzAoi%!LRuIKaio_UOz1e`rWZ6#r*;geZWB6$K~}osV3g4{-!VYJiv*b>iHNW(*Fay*`Heg diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index 96625324..ca675801 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -125,7 +125,7 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, while (ready(ifilex) >= fileno) Thread.`yield` val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { - matqueue(i)(ifile) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null + matqueue(i)(ifilex) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null } ready(ifilex) = inew } From 25da8ea3759760b1c48b10fdd0e49d393f85a7dd Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 11:34:34 -0700 Subject: [PATCH 052/385] sampleFun working --- BIDMach.jar | Bin 102111 -> 102506 bytes src/main/scala/BIDMach/DataSource.scala | 6 ++++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8406c422fb466a7a3d233897821d517074a8a89b..94cc1ea2d6346f52dc1a719e12e6fb044bde7dd1 100755 GIT binary patch delta 15876 zcmZX*Wk4KDv@Xiv5ZoPtySux)ySuxS0fM^^?vemWAh-l~cXxMpePo|^@7w#l{?k=c zU$3sJt|hZ%JqP+I9~wbf4gwMb3>Fp^Oin)$!3bPVzuG}!6w!sTb^o#t2 zCgTrAJmjsXjNY3uvNF=gI^i8SPmF|QU4MCNm)=v5JcjW|g zX{e}4YzRRY|DvHPE!tmQ9z^~?za3w3hPS-bL`&%gdo6wWGe1-RLBBZV0vM8j0pg}Z z=li*no3O4ciyie!vhSax(nWtQ8b^3x1Lre;()D?S`{iEX{01hnM$HsbfIg#hjw1X5 zrmmL=(uwB_P0~W*90jD*a+9l?^X^hZi{*-Ch-8JqgmDz7g+Yjm%9$d`y;_EyxTTLz zFfzCgRjltK(Lk50W_&jC>D;>ky+%HW#7wNfn?UK(+VIv_L+qj}%fZ0Hrkz!30>HpX z!NI`(y}`+blK?ga#04;J-Id 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z=+gavEoA?U97Yj{)8`|ylJF5(A^ewKFt9Pkzfk(Wq7xsYfOycCzdHLPKSsvxVIDHAA^;rF$0rN}8uJ98g399o_z>Dcf2)Z=+Fk%e zP*4B>5_J8yI#V715>fns|AXXC_^5(b1b}Kk1BgK^As@oQA64KC%AmXifGBv1I%w Mpn>imKOOA<0IYz2@c;k- diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index ca675801..a9f47c2e 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -46,7 +46,7 @@ class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Op } -class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, +class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, transpose:IMat=null, opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { val sizeMargin = opts.sizeMargin val blockSize = opts.blockSize @@ -63,7 +63,8 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue for (i <- 0 until fnames.size) { - val mm = HMat.loadMat(dirname(nstart) + fnames(i)) + var mm = HMat.loadMat(dirname(nstart) + fnames(i)) + if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) mm = mm.t omats(i) = mm match { case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) case mm:SDMat => SDMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) @@ -126,6 +127,7 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { matqueue(i)(ifilex) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null + if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) matqueue(i)(ifilex) = (matqueue(i)(ifilex)).t } ready(ifilex) = inew } From 7c2298990dc737e04c42dc2a0a0e29db99d11ba8 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 11:52:33 -0700 Subject: [PATCH 053/385] sampleFun working --- BIDMach.jar | Bin 102506 -> 102666 bytes src/main/scala/BIDMach/DataSource.scala | 38 +++++++++++------------- 2 files changed, 18 insertions(+), 20 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 94cc1ea2d6346f52dc1a719e12e6fb044bde7dd1..d46a92528a1f4b78d37eb325b0a7c0ede9ec6246 100755 GIT binary patch delta 12800 zcmZX)Wmp|cv@OcQW#JOsCAho0ySuwXa9OxJgoP%!hv05OgS&fhhakauWZ(1N-TS=y z)77)atl3@F->B-E<2VmCrT`YGA`b9!p25R*{s`zoOAv_V z&k=R!=g76P*2WGp7-SVMu;Oj9f1&|St370qX_4HP>o|oQN`;74gnJ^> zQDP&e0Lw*KAI*Ab5}Y;g?&S6~TP8w5&WQ$zWdm>ZY%{>4^s|`Q;Q-}0W}iuPx*Lch z)CUS~qVtWc+zl0-uDF~S4@yo6boE0{0^rs8uM53dkAaqRmq|=w@jGTUsbsx|T{er} zlFaSf@4wsUti$1NX!OD%#5)sHa3UpQ6iNvPOn$n5WVe~U?5T;En{f$}v5_59$ln}G z3P8EWTPY4#^0{qaBO4IWq+{QuXI{#AtrJEUjzZ7UC#w>Xr&1i^^33yxRFQ{+C%^dt zs||pFAcus2`1c5>s{Yc464Sw}|Ncu4fa|+>j~4Qd3jJTGda~Vp=)Y6&{KyX8i~_)b 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+ colno - colno = todo - if (todo > 0) { - var done = false - while (!done && fileno+1 < nend) { - val filey = (fileno+1) % opts.lookahead - while (ready(filey) < fileno+1) Thread.`yield` - if (matqueue(0)(filey) != null) { - for (i <- 0 until fnames.size) { - val matq = matqueue(i)(filey) - omats(i) = omats(i) \ matq(?, 0 -> todo) - } - done = true - } - fileno += 1 + } + if (todo > 0) { + var done = false + while (!done && fileno+1 < nend) { + val filey = (fileno+1) % opts.lookahead + while (ready(filey) < fileno+1) Thread.`yield` + if (matqueue(0)(filey) != null) { + for (i <- 0 until fnames.size) { + val matq = matqueue(i)(filey) + omats(i) = omats(i) \ matq(?, 0 -> todo) + } + done = true } - } + fileno += 1 + } + colno = todo } else { colno += blockSize } @@ -127,7 +124,8 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { matqueue(i)(ifilex) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null - if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) matqueue(i)(ifilex) = (matqueue(i)(ifilex)).t + if (matqueue(i)(ifilex).asInstanceOf[AnyRef] != null && transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) matqueue(i)(ifilex) = (matqueue(i)(ifilex)).t + println("%d" format inew) } ready(ifilex) = inew } From dad14ef16d977d40bd0427f046b1fcafa5f396fb Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 11:59:44 -0700 Subject: [PATCH 054/385] fixing DataSource --- BIDMach.jar | Bin 102666 -> 102689 bytes src/main/scala/BIDMach/DataSource.scala | 8 +++++--- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index d46a92528a1f4b78d37eb325b0a7c0ede9ec6246..67c0a9a12528be13007fd610e927a5d67b75810b 100755 GIT binary patch delta 12589 zcmZX4WmsHIvn_*bf;$9vCpf{~Ex5Z&aGhWSOmG|A-7Q#fcMmSXAp~~|hvaofw1ZKtgXE9bDj_hBFk#{c 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matq(?, colno -> ccols) + todo = blockSize - ccols + colno + } } if (todo > 0) { var done = false From 1803862159cf44f07c632bf62f445be03d4326a9 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 12:27:18 -0700 Subject: [PATCH 055/385] fixing DataSource --- BIDMach.jar | Bin 102689 -> 103004 bytes src/main/scala/BIDMach/DataSource.scala | 35 ++++++++++++++---------- 2 files changed, 21 insertions(+), 14 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 67c0a9a12528be13007fd610e927a5d67b75810b..be972eeecfc18ac36acc150eccfd1b2641a23b2e 100755 GIT binary patch delta 18078 zcmZ^~Q

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fileno = nstart + var fileno = 0 var colno = 0 var omats:Array[Mat] = null var matqueue:Array[Array[Mat]] = null var ready:IMat = null def init = { + var nstart = nstart0 + while (!fileExists(fnames(0)(nstart))) {nstart += 1} fileno = nstart // Number of the current output file colno = 0 // Column number in the current output file omats = new Array[Mat](fnames.size) matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue for (i <- 0 until fnames.size) { - var mm = HMat.loadMat(dirname(nstart) + fnames(i)) + var mm = HMat.loadMat(fnames(i)(nstart)) if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) mm = mm.t omats(i) = mm match { case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) @@ -123,10 +125,12 @@ class FilesDataSource(fnames:CSMat, dirname:(Int)=>String, nstart:Int, nend:Int, ready(ifilex) = ifile - opts.lookahead for (inew <- ifile until nend by opts.lookahead) { while (ready(ifilex) >= fileno) Thread.`yield` - val fexists = fileExists(dirname(inew) + fnames(0)) && (rand(1,1).v < opts.sampleFiles) + val fexists = fileExists(fnames(0)(inew)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { - matqueue(i)(ifilex) = if (fexists) HMat.loadMat(dirname(inew) + fnames(i)) else null - if (matqueue(i)(ifilex).asInstanceOf[AnyRef] != null && transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) matqueue(i)(ifilex) = (matqueue(i)(ifilex)).t + matqueue(i)(ifilex) = if (fexists) { + val tmp = HMat.loadMat(fnames(i)(inew)) + if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) tmp.t else tmp + } else null println("%d" format inew) } ready(ifilex) = inew @@ -144,22 +148,25 @@ object FilesDataSource { var sampleFiles = 1.0f } - def encodeDate(yy:Int, mm:Int, dd:Int) = 372*yy + 31*mm + dd + def encodeDate(yy:Int, mm:Int, dd:Int, hh:Int) = (372*yy + 31*mm + dd)*24 + hh - def decodeDate(n:Int):(Int, Int, Int) = { - val yy = (n - 32) / 372 - val days = n - 32 - 372 * yy + def decodeDate(n:Int):(Int, Int, Int, Int) = { + val yy = (n/24 - 32) / 372 + val days = n/24 - 32 - 372 * yy val mm = days / 31 + 1 val dd = days - 31 * (mm - 1) + 1 - (yy, mm, dd) + val hh = n % 24 + (yy, mm, dd, hh) } - def sampleFun(middle:String):(Int)=>String = { + def sampleFun(fname:String):(Int)=>String = { (n:Int) => { - val (yy, mm, dd) = decodeDate(n) - ("/disk%02d/" + middle + "%04d/%02d/%02d/" format (n % 16, yy, mm, dd)) + val (yy, mm, dd, hh) = decodeDate(n) + (fname format ((n / 24) % 16, yy, mm, dd, hh)) } } + + def filexx = sampleFun("/disk%02d/twitter/smiley/tokenized/%04d/%02d/%02d/tweet%02d.gz") } object DataSource { From 6a3e22c5fcdd581703d60acd295ae3c74d470a2f Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 12:35:51 -0700 Subject: [PATCH 056/385] fixing DataSource --- BIDMach.jar | Bin 103004 -> 103031 bytes src/main/scala/BIDMach/DataSource.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index be972eeecfc18ac36acc150eccfd1b2641a23b2e..199ab04ef75790865c9a42f30f7dfa71760d0712 100755 GIT binary patch delta 6936 zcmY*-Wmr^U*YylAbTf2!NK5z7oetd~ozgW!NVmk$oeGFF(k;@0v~&xS(#j{#^Tqp} zA7|~g_Py7+uk&YJ*Iq3{y(vS*)>cDC0Rzy{(E+};sn`}szP6uS6*m4sT3881#J%PM{Z|ud^mzz=o@u;% zT7TAB=Rm--{}jVmK-d4c1^ZI8YT*M#{zE=}rAP}n#YdPX0&!YD{K0R^htE-QoCs^K*+c#CLA+m+G>2rN&PoAEl!T*KcJnsU0b9g3vr-khoaq zwA^8*xlcD;r)Sk4;aA&$4MtZKPOsQ;UwK-1yxS3qs$x@9rip`=LX$?KjE(?}Mu)*~ zL9WJZ-y8fY_iOdL2*z1s+tP>v)ssR`>86Y%maS@fBvZOiao8`COTfMIGFdPOTbR?F zM$wUSrW|1w1PlShqi}kVP^m9xbT$^wFvpx$`%#hncvGAzY0%t(owLy$j|d12{h9GjXsQI78f@<(PyS<|FX(T z7_%-?jN_IpY`?RUTRR8Dzzr-z^v2lS`=`nk>y|qt{MYI)k!72zf|Wrm z7~&1#l?+dLuDsYl6P20DrI~F39Q1j|NXokf@BVPaRL-2;R?y!1E{gG1>MW#w+bFjG)LqOSLp%o*2olB@E=}jx0 zV;BmZip^zLAa$|RGA4pP;+JGF2-KD{GIk)?In3_l9ws0A_eYqY(RAc#re*qPA2K&( z{P9GZ0pUZM))KkO5`*a$xI4stTAaDBwLe1NA1|0vbrmfFuuk76Fs`k5N?c?RZj@D; 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- - def next:Array[Mat] - +abstract class DataSource(val opts:DataSource.Options = new DataSource.Options) { + def next:Array[Mat] def hasNext:Boolean } -class MatDataSource(mats:Array[Mat], opts:DataSource.Options = new DataSource.Options) extends DataSource(opts) { +class MatDataSource(mats:Array[Mat], override val opts:DataSource.Options = new DataSource.Options) extends DataSource(opts) { val sizeMargin = opts.sizeMargin var here = 0 val blockSize = opts.blockSize From bda161d18cc8ed7dfdc6f3d91e5a3382820c78b3 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 12:58:45 -0700 Subject: [PATCH 058/385] fixing DataSource --- BIDMach.jar | Bin 103192 -> 103106 bytes src/main/scala/BIDMach/DataSource.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 935e532742df67523c2dea8d110e81a9647e6885..cc274dd2e865dd13f6126f80e848d0a8fc1a7f0c 100755 GIT binary patch delta 9703 zcmY*J6WrZ{yIXLAyC%3T?rw{_y9IZ*Ai>=|Sa1U5N8WqS_uY5q 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b/src/main/scala/BIDMach/DataSource.scala index 980d9c01..01659971 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -44,7 +44,7 @@ class MatDataSource(mats:Array[Mat], override val opts:DataSource.Options = new } class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpose:IMat=null, - opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { + override val opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { val sizeMargin = opts.sizeMargin val blockSize = opts.blockSize var fileno = 0 From 2e72bbaeacf716d3b01c3acd52b633281e2b3382 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 15:54:06 -0700 Subject: [PATCH 059/385] fixing DataSource --- BIDMach.jar | Bin 103106 -> 102909 bytes src/main/scala/BIDMach/DataSource.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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HMat.loadMat(fnames(i)(inew)) if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) tmp.t else tmp } else null - println("%d" format inew) +// println("%d" format inew) } ready(ifilex) = inew } From c3fbe1be208862b69a3a5989f7c0075efa2a1098 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 16:05:49 -0700 Subject: [PATCH 060/385] fixing DataSource --- BIDMach.jar | Bin 102909 -> 103042 bytes src/main/scala/BIDMach/DataSource.scala | 6 ++++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 851be89b2b319341d8ea893e946de4ccf46c8377..815de5155ea7e92287a247cee8180d050287945e 100755 GIT binary patch delta 15962 zcmZX*Wmp_R(=N>7?zU)fch}(V?(XgySlrz2=1QXmM?kEIoCPQ`^}G; ztG2tUd%Ak6YP;@wFNO^%g+*48hl0k2fQN^NXbnn6Him2sYIKy``TIx>E+R;s+2Myw zBWy<8WdY#7dQ#eH0U#jAAt50CU#?WuJ$vwpbZsrqefR;~}=>~Kf{#%D&f3Vnj27V*bA~$mvnrCsq@OhoZ zuWo}Hmv^OXIqT{~;$}+$axwNdco}$ctEjj4Q)+v`WQ)3-?+nI&?W6U>n?gk*QKMa1@25pH!t7EZYL;F5H 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MatDataSource(mats:Array[Mat], override val opts:DataSource.Options = new class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpose:IMat=null, override val opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { - val sizeMargin = opts.sizeMargin - val blockSize = opts.blockSize + var sizeMargin = 0f + var blockSize = 0 var fileno = 0 var colno = 0 var omats:Array[Mat] = null @@ -55,6 +55,8 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo def init = { var nstart = nstart0 + sizeMargin = opts.sizeMargin + blockSize = opts.blockSize while (!fileExists(fnames(0)(nstart))) {nstart += 1} fileno = nstart // Number of the current output file colno = 0 // Column number in the current output file From 6e0982e2eab41ef141781beb638773f29629a676 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 19:09:09 -0700 Subject: [PATCH 061/385] added Mat reuse --- src/main/scala/BIDMach/DataSource.scala | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index 5d0e4ab5..65ad6499 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -89,7 +89,7 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo val matq = matqueue(i)(filex) if (matq != null) { val ccols = math.min(colno + blockSize, matq.ncols) - omats(i) = matq(?, colno -> ccols) + omats(i) = matq.colslice(colno, ccols, omats(i)) todo = blockSize - ccols + colno } } @@ -119,6 +119,15 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo testme.exists } + def lazyTranspose(a:Mat) = { + a match { + case af:FMat => FMat(a.ncols, a.nrows, af.data) + case ad:DMat => DMat(a.ncols, a.nrows, ad.data) + case ai:IMat => IMat(a.ncols, a.nrows, ai.data) + case _ => throw new RuntimeException("laztTranspose cant deal with "+a.getClass.getName) + } + } + def prefetch(ifile:Int) = { val ifilex = ifile % opts.lookahead ready(ifilex) = ifile - opts.lookahead @@ -127,8 +136,8 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo val fexists = fileExists(fnames(0)(inew)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { matqueue(i)(ifilex) = if (fexists) { - val tmp = HMat.loadMat(fnames(i)(inew)) - if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) tmp.t else tmp + val tmp = HMat.loadMat(fnames(i)(inew), true, matqueue(i)(ifilex)) + if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) lazyTranspose(tmp) else tmp } else null // println("%d" format inew) } From 00d5b9559d5d7a734391c385ba713c38cf8ff2af Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 10 Jul 2013 19:20:00 -0700 Subject: [PATCH 062/385] fixes to load --- BIDMach.jar | Bin 103042 -> 104532 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar 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zPuT)+z_x!S1#3VO3jscu8vMt3JzxMaB!>fd6AX}m#B&2veFM Date: Wed, 10 Jul 2013 20:07:41 -0700 Subject: [PATCH 063/385] changed default file source --- BIDMach.jar | Bin 104532 -> 104523 bytes src/main/scala/BIDMach/DataSource.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 4b0c6f356db77fcec246d89ed1c6513aa7e7ec19..faa28e83aab73550b2235c9ed3df82c5a4e90bd8 100755 GIT binary patch delta 1762 zcmY*ZdpOit82+8P8T?dcrZA@H=8{HHjV_|n7#UjBZe`sg3dy>3A!8A?o%)GR}8U{P`O)~ou7Jk+w;%+ec$`O=R42$Jm+h=L8`k!LY=sH0u3RP z$;gYm4Ac|%BCjZzEms2n=Sy^nOdboAvBasfVFvZOst6cYKe9@q)k`E{+=9Wa_^&ls zlMYac@RK1{kkpSjd=;;ixJ*W4v7~WYm8eAND?AvS3F=ir@Qf-tk`AM3U^euf1@sB~ z<1T8zKG+v}xL7b6UCQL*L??$!KNkmg2Zy{;Yq{*x z^H9Z^7k-f=5B-FC?H?+wpWLAc_VaR#7_g^Oj=qw1TDy@Ve&gnc|Oer-EuTh4su6Es!Zz1~fz z5ttM5*nWe@iN#{cRp-UI!!fIPjww#Uv2_K{g!59-0Z)$Z*v?vuF6gHTmhol}muS}} zWT`%7bpAEH?e6?~BsxjE;_bM~a0h4ixGHsgPvCfAu3~GIImOim4RdvzFEnVpzGk>1 zwZ$*};;ufm(CapRYHxC66ASkq^~WE7n&RS~%6R&fR|m 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sampleFun("/disk%02d/twitter/smiley/tokenized/%04d/%02d/%02d/tweet%02d.gz") + def filexx = sampleFun("/disk%02d/twitter/tokenized/%04d/%02d/%02d/tweet%02d.gz") } object DataSource { From e2886fd14ad0e35f611b04af9aa9d0f2333c60d4 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 10:00:39 -0700 Subject: [PATCH 064/385] work with lz4 --- BIDMach.jar | Bin 104523 -> 104502 bytes bidmach | 2 +- src/main/scala/BIDMach/DataSource.scala | 8 ++++---- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index faa28e83aab73550b2235c9ed3df82c5a4e90bd8..c8bb6624cffbcb9af1f2a99f0ad9b9f4bfab48a4 100755 GIT binary patch delta 15275 zcmZ8o1ymf%wqyUXK;0=E#@WC7^94dz2jJCICY$&i?{@L?_(Wrs#K4ubKq!K0FX_006a?X7(@P z>xKtDV}OVJ|0tm0000X39Wy)YzbU$)7wWUo$X^oxBp%q({P3^IYYGk@5m8>___}$# zMot+2j+cPsg$gG1nEXrpF+%cEdh;qX3?l#Q>U{z}I5Vu^Z?=*VL@LrrAY0s z?oWsPis@euUWXMV8S&D)>5@`}*La`7#ec0ngBd|55db)_VT0Sh8Ii~r2C3Qo{~0j2 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zy$3s7DELVIX20Sth_AO54Vff1#v<)dOxKyo;=o|_tmVgK2X9&B7xdFFkOLG?)4T0Sev*1C{s#l;3#I{s56T zAQAwOdJ~EX0O$e!6r+L80$+9i0jxohT17h9)TL?hw z4a9~3B;LSM$lvin_&;WMg#Tj*e8fMFkdFY!zsY?054iXb5RUwZl@JLKeUn*=e0As_ zKaxcKqtGPkA3Y^e|IF<1KR`bEA4=|jz;*OLGvki|gumUGp_o_Ae{L0OEI{TB=*I#+ zBEM2Z{#zmd`Wg$6dt?5N1rUIvpM$z%0W^uW=eQuiU%^{6GUji2q0O->JR-D~bH@D#;A8jRzpU>HK#do%Fv| zg7v+;N>YH@;{hBbe@3TIel$vWEpn)SEplM_AIS+2Y63v$O{?};L4Kns21^J+NQ{{sNqs#pL3 diff --git a/bidmach b/bidmach index 4d0053dd..c759d915 100755 --- a/bidmach +++ b/bidmach @@ -1,5 +1,5 @@ #!/bin/bash -export JAVA_OPTS="-Xmx12G -Xms128M" # Set as much memory as possible +export JAVA_OPTS="-Xmx24G -Xms128M" # Set as much memory as possible BIDMACH_ROOT="${BASH_SOURCE[0]}" if [ ! `uname` = "Darwin" ]; then BIDMACH_ROOT=`readlink -f "${BIDMACH_ROOT}"` diff --git a/src/main/scala/BIDMach/DataSource.scala b/src/main/scala/BIDMach/DataSource.scala index e846e926..a042845a 100755 --- a/src/main/scala/BIDMach/DataSource.scala +++ b/src/main/scala/BIDMach/DataSource.scala @@ -43,7 +43,7 @@ class MatDataSource(mats:Array[Mat], override val opts:DataSource.Options = new } -class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpose:IMat=null, +class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpose:IMat=null, compressed:Int=0, override val opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { var sizeMargin = 0f var blockSize = 0 @@ -64,7 +64,7 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue for (i <- 0 until fnames.size) { - var mm = HMat.loadMat(fnames(i)(nstart)) + var mm = HMat.loadMat(fnames(i)(nstart), compressed) if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) mm = mm.t omats(i) = mm match { case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) @@ -101,7 +101,7 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo if (matqueue(0)(filey).asInstanceOf[AnyRef] != null && matqueue(0)(filey).ncols >= todo) { for (i <- 0 until fnames.size) { val matq = matqueue(i)(filey) - omats(i) = omats(i) \ matq(?, 0 -> todo) + omats(i) = omats(i) \ matq.colslice(0, todo, null) } done = true } @@ -136,7 +136,7 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo val fexists = fileExists(fnames(0)(inew)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { matqueue(i)(ifilex) = if (fexists) { - val tmp = HMat.loadMat(fnames(i)(inew), true, matqueue(i)(ifilex)) + val tmp = HMat.loadMat(fnames(i)(inew), compressed, matqueue(i)(ifilex)) if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) lazyTranspose(tmp) else tmp } else null // println("%d" format inew) From 3c4a0124dccddc60cee0f00f68962e3f0be6fc8d Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:19:01 -0700 Subject: [PATCH 065/385] Featurizer --- BIDMach.jar | Bin 104502 -> 129108 bytes src/main/scala/BIDMach/Clustering.scala | 2 +- src/main/scala/BIDMach/Experiments.scala | 93 ++++++++++++++++++++ src/main/scala/BIDMach/Featurizer.scala | 103 +++++++++++++++++++++++ 4 files changed, 197 insertions(+), 1 deletion(-) create mode 100755 src/main/scala/BIDMach/Experiments.scala create mode 100755 src/main/scala/BIDMach/Featurizer.scala diff --git a/BIDMach.jar b/BIDMach.jar index c8bb6624cffbcb9af1f2a99f0ad9b9f4bfab48a4..8d0beb249c444867745f1a6fb8549cb66d916e85 100755 GIT binary patch delta 36035 zcmbsQQ(z};@HL7~Y-{3)C$>4UF|nOYY@=iQH?f^eCbn(cwr%Zs|KC36eBZ^{H@k1D zy6SnluDWXVdR8}7LC;;mAS%j0Kw^G@g@ye>ZyArM4^D4cZ9_x`u4!BwO(qHX&w@Pr z@oKNB_WtveI~w6uoy9beHY*|Jym!7Vq`{IPbz;DPcxyO zhprN3Sj(_ivgWLwVl}}U;rWZ&zigZ<#reom-&7Deq$6rV94Y}ix`;ixBm^`zI0*?( 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HMat.saveDMat(outfname + "%04d/%02d/wcount.gz" format (yy, mm), dxx.counts) + } +// println("") + } + val f2 = new File(outfname + "%04d/%02d/wcount.gz" format (yy, mm)) + if (f2.exists) { + val bb = HMat.loadBMat(outfname + "%04d/%02d/dict.gz" format (yy, mm)) + val cc = HMat.loadDMat(outfname + "%04d/%02d/wcount.gz" format (yy, mm)) + yd(nmerged % 5) = Dict(bb, cc, 4*threshold) + nmerged += 1 + print("*") + if (nmerged % 5 == 0) { + val dm = Dict.union(yd:_*) + if (nmerged == 5) { + dy = dm + } else { + dy = Dict.union(dy, dm) + } + } + } + } + } + if (nmerged % 5 != 0) { + val dm = Dict.union(yd.slice(0, nmerged % 5):_*) + dy = Dict.union(dy, dm) + } + println + val (sv, iv) = sortdown2(dy.counts) + val dyy = Dict(dy.cstr(iv), sv) + HMat.saveBMat(outfname + "dict.gz", BMat(dyy.cstr)) + HMat.saveDMat(outfname + "wcount.gz", dyy.counts) + dyy + } +} \ No newline at end of file diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala new file mode 100755 index 00000000..d944f937 --- /dev/null +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -0,0 +1,103 @@ +package BIDMach +import BIDMat.{Mat,BMat,CMat,CSMat,Dict,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.MatFunctions._ +import BIDMat.SciFunctions._ +import HMat._ +import scala.actors._ +import java.io._ + +class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { + def countGrams = { + val alldict = Dict(loadBMat(opts.mainDict)) + val isstart = alldict(opts.startItem) + val isend = alldict(opts.endItem) + val itstart = alldict(opts.startText) + val itend = alldict(opts.endText) + val bigramsx = IMat(opts.guessSize, 2) + val trigramsx = IMat(opts.guessSize, 3) + for (idir <- opts.nstart until opts.nend) { + val dict = Dict(loadBMat(opts.fromDir(idir)+opts.localDict)) + val dmap = dict --> alldict + for (ifile <- 0 until 24) { + val idata = loadIMat(opts.fromDir(idir)+opts.fromFile(ifile)) + + var active = false + var intext = false + var i = 0 + var istatus = -1 + var nbi = 0 + var ntri = 0 + var len = idata.length + while (i < len) { + val tok = idata.data(i) + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else if (intext && idata.data(i-1) != itstart) { + bigramsx(nbi, 0) = idata.data(i-1) + bigramsx(nbi, 1) = tok + nbi += 1 + if (idata.data(i-2) != itstart) { + trigramsx(nbi, 0) = idata.data(i-2) + trigramsx(nbi, 1) = idata.data(i-1) + trigramsx(nbi, 2) = tok + ntri += 1 + } + } + i += 1 + } + val bigramst = IMat(nbi, 2, bigramsx.data) + val (bigdx, im1, im2) = uniquerows(bigramst) + val bicountsx = accum(im2, 1, bigdx.nrows, 1) + + val trigramst = IMat(ntri, 3, trigramsx.data) + val (trigd, it1, it2) = uniquerows(trigramst) + val tricounts = accum(it2, 1, trigd.nrows, 1) + println(".") + } + } + } +} + +object Featurizer { + def encodeDate(yy:Int, mm:Int, dd:Int) = (372*yy + 31*mm + dd) + + def decodeDate(n:Int):(Int, Int, Int) = { + val yy = (n - 32) / 372 + val days = n - 32 - 372 * yy + val mm = days / 31 + 1 + val dd = days - 31 * (mm - 1) + 1 + (yy, mm, dd) + } + + def dirMap(fname:String):(Int)=>String = { + (n:Int) => { + val (yy, mm, dd) = decodeDate(n) + (fname format (n % 16, yy, mm, dd)) + } + } + + class Options { + var fromDir:(Int)=>String = dirMap("/disk%02d/twitter/tokenized/%04d/%02d/%02d/") + var toDir:(Int)=>String = dirMap("/disk%02d/twitter/featureized/%04d/%02d/%02d/") + var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) + var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) + var localDict:String = "dict.gz" + var nstart:Int = encodeDate(2011,11,21) + var nend:Int = encodeDate(2013,3,3) + var startItem:String = "" + var endItem:String = "" + var startText:String = "" + var endText:String = "" + var mainDict:String = "/big/twitter/tokenized/alldict.gz" + var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" + var guessSize = 200000000 + } +} \ No newline at end of file From d5acf5251f0446516b7474b9d2ef7a33c92096f3 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:22:26 -0700 Subject: [PATCH 066/385] Featurizer --- bidmach | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bidmach b/bidmach index c759d915..e74cac56 100755 --- a/bidmach +++ b/bidmach @@ -21,7 +21,7 @@ else export LD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/linux64:${BIDMAT_ROOT}/lib/linux64/JCUDA5.0:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}" fi -BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar;${BIDLIB}/commons-math3-3.1.1.jar" +BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar;${BIDLIB}/commons-math3-3.1.1.jar;${LIBDIR}/lz4-1.1.2.jar" JCUDA_LIBS="${JCUDA_LIBDIR}/jcuda-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcublas-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcufft-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcurand-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcusparse-${JCUDA_VERSION}.jar" export ALL_LIBS="${BIDMACH_ROOT}/BIDMach.jar;${BIDMAT_LIBS};${JCUDA_LIBS};${JAVA_HOME}/lib/tools.jar" From 12b9056588a4f11a65c7718ae9baae1ae29484a7 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:24:19 -0700 Subject: [PATCH 067/385] Featurizer --- bidmach | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bidmach b/bidmach index e74cac56..e90b7522 100755 --- a/bidmach +++ b/bidmach @@ -21,7 +21,7 @@ else export LD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/linux64:${BIDMAT_ROOT}/lib/linux64/JCUDA5.0:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}" fi -BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar;${BIDLIB}/commons-math3-3.1.1.jar;${LIBDIR}/lz4-1.1.2.jar" +BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar;${BIDLIB}/commons-math3-3.1.1.jar;${BIDLIB}/lz4-1.1.2.jar" JCUDA_LIBS="${JCUDA_LIBDIR}/jcuda-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcublas-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcufft-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcurand-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcusparse-${JCUDA_VERSION}.jar" export ALL_LIBS="${BIDMACH_ROOT}/BIDMach.jar;${BIDMAT_LIBS};${JCUDA_LIBS};${JAVA_HOME}/lib/tools.jar" From 10c13c3cf14f569a8795a9dd5f291cce58e63cd4 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:29:37 -0700 Subject: [PATCH 068/385] Featurizer --- src/main/scala/BIDMach/Featurizer.scala | 89 +++++++++++++------------ 1 file changed, 48 insertions(+), 41 deletions(-) diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index d944f937..f23e5508 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -19,51 +19,58 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val dict = Dict(loadBMat(opts.fromDir(idir)+opts.localDict)) val dmap = dict --> alldict for (ifile <- 0 until 24) { - val idata = loadIMat(opts.fromDir(idir)+opts.fromFile(ifile)) + val fn = opts.fromDir(idir)+opts.fromFile(ifile) + if (fileExists(fn)) { + val idata = loadIMat(fn) + var active = false + var intext = false + var i = 0 + var istatus = -1 + var nbi = 0 + var ntri = 0 + var len = idata.length + while (i < len) { + val tok = idata.data(i) + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else if (intext && idata.data(i-1) != itstart) { + bigramsx(nbi, 0) = idata.data(i-1) + bigramsx(nbi, 1) = tok + nbi += 1 + if (idata.data(i-2) != itstart) { + trigramsx(nbi, 0) = idata.data(i-2) + trigramsx(nbi, 1) = idata.data(i-1) + trigramsx(nbi, 2) = tok + ntri += 1 + } + } + i += 1 + } + val bigramst = IMat(nbi, 2, bigramsx.data) + val (bigdx, im1, im2) = uniquerows(bigramst) + val bicountsx = accum(im2, 1, bigdx.nrows, 1) - var active = false - var intext = false - var i = 0 - var istatus = -1 - var nbi = 0 - var ntri = 0 - var len = idata.length - while (i < len) { - val tok = idata.data(i) - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else if (intext && idata.data(i-1) != itstart) { - bigramsx(nbi, 0) = idata.data(i-1) - bigramsx(nbi, 1) = tok - nbi += 1 - if (idata.data(i-2) != itstart) { - trigramsx(nbi, 0) = idata.data(i-2) - trigramsx(nbi, 1) = idata.data(i-1) - trigramsx(nbi, 2) = tok - ntri += 1 - } - } - i += 1 - } - val bigramst = IMat(nbi, 2, bigramsx.data) - val (bigdx, im1, im2) = uniquerows(bigramst) - val bicountsx = accum(im2, 1, bigdx.nrows, 1) - - val trigramst = IMat(ntri, 3, trigramsx.data) - val (trigd, it1, it2) = uniquerows(trigramst) - val tricounts = accum(it2, 1, trigd.nrows, 1) - println(".") + val trigramst = IMat(ntri, 3, trigramsx.data) + val (trigd, it1, it2) = uniquerows(trigramst) + val tricounts = accum(it2, 1, trigd.nrows, 1) + println(".") + } } } } + + def fileExists(fname:String) = { + val testme = new File(fname) + testme.exists + } } object Featurizer { From d78d826c93efa2ccce121a5d8c825bb96d124597 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:31:15 -0700 Subject: [PATCH 069/385] Featurizer --- BIDMach.jar | Bin 129108 -> 129405 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8d0beb249c444867745f1a6fb8549cb66d916e85..dcc779dc45ecfaae13ccf7163635ae2f89844da2 100755 GIT binary patch delta 11850 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z4TWv}U+CWr;9Iin3xEb}q7#tJ(ET?{W%>$$OU`=%5P-G~C-=Po1i`4r0r5<@ILSn> k09r7_SwOPg-2dWe!0wg+N!kF6 alldict @@ -30,7 +31,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { var ntri = 0 var len = idata.length while (i < len) { - val tok = idata.data(i) + val tok = dmap(idata.data(i)) if (tok == isstart) { active = true istatus += 1 @@ -41,16 +42,20 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } else if (tok == isend) { intext = false active = false - } else if (intext && idata.data(i-1) != itstart) { - bigramsx(nbi, 0) = idata.data(i-1) - bigramsx(nbi, 1) = tok - nbi += 1 - if (idata.data(i-2) != itstart) { - trigramsx(nbi, 0) = idata.data(i-2) - trigramsx(nbi, 1) = idata.data(i-1) - trigramsx(nbi, 2) = tok - ntri += 1 - } + } else { + val tok1 = dmap(idata.data(i-1)) + if (intext && tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + val tok2 = dmap(idata.data(i-2)) + if (tok2 != itstart) { + trigramsx(nbi, 0) = tok2 + trigramsx(nbi, 1) = tok1 + trigramsx(nbi, 2) = tok + ntri += 1 + } + } } i += 1 } From 00512f6c3d55d8f16f692c3a5f9f22003ca31804 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:47:07 -0700 Subject: [PATCH 072/385] Featurizer --- BIDMach.jar | Bin 129730 -> 129751 bytes src/main/scala/BIDMach/Featurizer.scala | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 34d2811b88695b26fc63f0cc96b2edc3ad914506..8ecc8ed743ba59f8e836cfdf90aa77e1b6ecbf29 100755 GIT binary patch delta 4107 zcmY*bbyU>b7M>s74H5$gNDUH_0x~qxiiC6z(l8)MkF=zuLw5;-gb0ElodeP>jf6B; z97=fb?ppWVch)**?epz#$2os|Yj>RBPoLnEJk`L)p#c#P5P()(5=ktuR$PKzKDhvI zqHZiCCJHb`_~=d2UN1-_YuX*xc2H1xr*+sSCRmoz^C-|++IO%6OnGg#8{s6Hi^L*s z)gamE}ENDDUOFiimi6lPVQB`*Kr_}-(Z!+Qj zEwA|uTOPM9Sa%oM52*HVM9HWK(>4q)tQY__`j$4HpFeR>?N#QE&=4qTqIcCYgUeFI z_lEjaEg&O8@^QZ~+^(d*lrdr0@2})S@o}Y&SB^S}bLE2C)aO;6<&^}Mluvs+M+qvJ 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073/385] Featurizer --- BIDMach.jar | Bin 129751 -> 129790 bytes src/main/scala/BIDMach/Featurizer.scala | 58 +++++++++++++----------- 2 files changed, 32 insertions(+), 26 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8ecc8ed743ba59f8e836cfdf90aa77e1b6ecbf29..adf96b5ebd20e5aa91dca14f73c6b6593994b52c 100755 GIT binary patch delta 8377 zcmZvhbxr++6~}Ex5Y|_uy{9;gS2t``!EM zZPnIH?S5uvd#d`|-LvyI2roAXC@S(WusBeNh=@>mPH`y4(0NXQj`fa!(6F~201ZFOo=SJ|Mp zyu>S|U&>ZcpQ~3%sW4fW*U%?N-Y{oZUtd{Y>EEOUx-o{7uk(G5SNP}xhxfU?_Ey;U ztk!tX<>1*m3vM#>7Pf6UK2>8@2Va>08f1ACS)C-?=gh7qKQrY*$*j`Em=>DudZY)C z$#H7^QcFXakY`JUi%!=-Tlv&E*9#xWZ7)%o-aWMjW>*XVEhwZ35zde+S}7bo zXf&~%IFsaqA0M%KA0P9UC0^V+I;Nt;N#R_4Hv+YDIeiCL@v9$@M#ePR+$3BhfPbgnQ)Sz41y zL`h4g`Ve-_NuttHOhqH+9yd};dWhIP&|}GrAxn78nyW$)jo^To!-@{y3FId!8bgi1 zpFlCgfwr)RI#*AQLjI1Ix_dVeOp@86owFEW-)WI-WVH|#!x0wPW|&TekUEs)fi26= zSlxm+zs27$PcW}kM{J*Jsug3}538kE=4w|jE>LNc09O-z!jey$Zam;4AbK1r&SZOr zQG)VYz)ro?glehqt6~Ou4ajR5e#%WtEjQ{fCs5D-%_k{lLxB-ReSro8!{T 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z?V0|Cj%WS{6}tn_{*C_A*8dx2$@wpe11Y-uf1zK+?!Q|1_Fthx^8dq+<^wPwFLwa6 zzvKT?A&CCP_m%v`<3q&n0oatUk|Fv34;=>P->4A8;T|9jN7o8~Shv15@e}s|#@C~K px(7%C{2=0g03YG3CIE3NuWFn92fzeSf{gwFynmy$2zXube*j=qxyS$j diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index b16b281e..a4047337 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -31,32 +31,38 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { var ntri = 0 var len = idata.length while (i < len) { - val tok = dmap(idata.data(i)) - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else { - val tok1 = dmap(idata.data(i-1)) - if (intext && tok >= 0 && tok1 >= 0 && tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - val tok2 = dmap(idata.data(i-2)) - if (tok2 >= 0 && tok2 != itstart) { - trigramsx(nbi, 0) = tok2 - trigramsx(nbi, 1) = tok1 - trigramsx(nbi, 2) = tok - ntri += 1 - } - } - } + if (idata.data(i) >= 0) { + val tok = dmap(idata.data(i)) + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + if (idata.data(i-1) >= 0) { + val tok1 = dmap(idata.data(i-1)) + if (intext && tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + if (idata.data(i-2) >= 0) { + val tok2 = dmap(idata.data(i-2)) + if (tok2 != itstart) { + trigramsx(nbi, 0) = tok2 + trigramsx(nbi, 1) = tok1 + trigramsx(nbi, 2) = tok + ntri += 1 + } + } + } + } + } + } i += 1 } val bigramst = IMat(nbi, 2, bigramsx.data) From 398907178913ebd4bbac11b47526355ef9497c2c Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 13:56:13 -0700 Subject: [PATCH 074/385] Featurizer --- BIDMach.jar | Bin 129790 -> 129791 bytes src/main/scala/BIDMach/Featurizer.scala | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index adf96b5ebd20e5aa91dca14f73c6b6593994b52c..a77920f942b5a2f28d2bc5de76b22b731d9ad527 100755 GIT binary patch delta 4108 zcmY+GcR1DUAIHzv2yu=*GebBy2$|Vi_AGlHBRk2;iL$cd;Baim%wCzFh zT}P;sD8Le7LVYe(7?gt7EEhm!$nHjtUm(Psv;b2Emz zGn=MIaoMV9bc;&=geG${)h-;`-hpp@(&Jl3h?}sA8<~g>(WYi2ArI~_(W$E&Rrw|o zmVG_|`1WtV2$TM-)E53oMR3MLD75y@B-!*=fp~Obp|a_=GE)lSXLAc}#rH3!kQ%@0 zdp4#-p!MDFV0LeFM0E{t8Qzp z5ZVwQj_yJS#;Va<6>d^=5)>smN<+BE5|U3V<&d;rLI(KWcU6Ux3P*LeTBNs--bM00 z=1TN2w0=rn(GPa56spK{0zXc(F^;$C!!y=;>*Z3fAjR*Lj9(MC!;iU>Zq*+kCAS@; z!0Wt6R!p)cAhY{&rj67w~b%L@|^2K!e+nOtCAyKRf_NmYMkgOp67?Da&+tKAs7h? zR@j)iv$V|;k_s?7(8`xQ&c<<59uts{Z4IfKOwQ@H>Kc#q;--_#{C0OwfteKCva*Hb zqE>3vf@xLplDofu&eI*2u+l+zD`mpx@=Y3u{pfhilH+uyZ|&t+QGFdg;BxHaDp<*U 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itstart) { + if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok nbi += 1 From cfff06efb062ebe7e3eedf65c350bd55d9a9b1b8 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 14:01:23 -0700 Subject: [PATCH 075/385] Featurizer --- BIDMach.jar | Bin 129791 -> 129794 bytes src/main/scala/BIDMach/Featurizer.scala | 12 ++++++------ 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index a77920f942b5a2f28d2bc5de76b22b731d9ad527..e2383b28a245c1b58e900e4c860353e3986966fc 100755 GIT binary patch delta 3634 zcmY+G2T;>Xw8rzNgY<}WP!S|RkRmFb3lix{M-(wA5Gf)mRWZ_(-U5WsJD~)rg7lVP zxL^oX2+~n0N>fNE^5DIh`|jPDo!R})p5N~5%y;G-{bml?VP?N&OwVu{#KOV?f;>rN zccg!gi9d_NL&?1#YGi&L>SxKXEQY5W;eoIL~zX0wm7A1w2%w=dFKZ5~^)|Fh+Yo>BFaLM06H z*-gVlF=>Dy_gs-kxq=!SGst*tcd^RNr_eL#^4PfD;AwUku5dJ? zI;8p`p~lNte}A~Mm`+7aA>o?HTD)g8!!UiP)TJn&)19lKT(5%j?<+kJh6L}$5zFp% zI&A)t_F+v{YhEL;AhjPha;X^BM6mcL!;^G*0xGvShn3Wn4>e(BvXc@8=4u3GQNUz# 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true istatus += 1 @@ -44,14 +44,14 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { intext = false active = false } else { - if (intext && idata.data(i-1) >= 0) { - val tok1 = dmap(idata.data(i-1)) + if (intext && idata.data(i-1) > 0) { + val tok1 = dmap(idata.data(i-1)-1) if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok nbi += 1 - if (idata.data(i-2) >= 0) { - val tok2 = dmap(idata.data(i-2)) + if (idata.data(i-2) > 0) { + val tok2 = dmap(idata.data(i-2)-1) if (tok2 != itstart) { trigramsx(nbi, 0) = tok2 trigramsx(nbi, 1) = tok1 From d3457766b05535632f8f0d64c8c7f49002b25f87 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 15:38:49 -0700 Subject: [PATCH 076/385] IDict --- src/main/scala/BIDMach/Featurizer.scala | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index a5e87322..5c7c8faf 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -66,8 +66,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { i += 1 } val bigramst = IMat(nbi, 2, bigramsx.data) - val (bigdx, im1, im2) = uniquerows(bigramst) - val bicountsx = accum(im2, 1, bigdx.nrows, 1) + val (bigd, im1, im2) = uniquerows(bigramst) + val bicounts = accum(im2, 1, bigd.nrows, 1) val trigramst = IMat(ntri, 3, trigramsx.data) val (trigd, it1, it2) = uniquerows(trigramst) From 0393864db45cc070fd09e2e60c01aa495e12095c Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 19:28:27 -0700 Subject: [PATCH 077/385] Featurizer --- BIDMach.jar | Bin 129794 -> 130046 bytes src/main/scala/BIDMach/Featurizer.scala | 28 ++++++++++++++++-------- 2 files changed, 19 insertions(+), 9 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index e2383b28a245c1b58e900e4c860353e3986966fc..b0a6f425ffcd82d1ce091a9ac6b2424320f6bd55 100755 GIT binary patch delta 14164 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--git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 5c7c8faf..237a2300 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -1,5 +1,5 @@ package BIDMach -import BIDMat.{Mat,BMat,CMat,CSMat,Dict,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} +import BIDMat.{Mat,BMat,CMat,CSMat,Dict,DMat,FMat,GMat,GIMat,GSMat,HMat,IDict,IMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import HMat._ @@ -15,6 +15,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val itend = alldict(opts.endText) val bigramsx = IMat(opts.guessSize, 2) val trigramsx = IMat(opts.guessSize, 3) + val bdicts = new Array[IDict](24) + val tdicts = new Array[IDict](24) def countGrams = { for (idir <- opts.nstart until opts.nend) { val dict = Dict(loadBMat(opts.fromDir(idir)+opts.localDict)) @@ -65,16 +67,24 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } i += 1 } - val bigramst = IMat(nbi, 2, bigramsx.data) - val (bigd, im1, im2) = uniquerows(bigramst) - val bicounts = accum(im2, 1, bigd.nrows, 1) - - val trigramst = IMat(ntri, 3, trigramsx.data) - val (trigd, it1, it2) = uniquerows(trigramst) - val tricounts = accum(it2, 1, trigd.nrows, 1) - println(".") + val bigrams = IMat(nbi, 2, bigramsx.data) + val bid = IDict.dictFromData(bigrams) + val trigrams = IMat(nbi, 3, trigramsx.data) + val trid = IDict.dictFromData(trigrams) + bdicts(ifile) = bid + tdicts(ifile) = trid + } else { + bdicts(ifile) = null + tdicts(ifile) = null } } + val bf = IDict.union(bdicts) + val tf = IDict.union(tdicts) + saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) + saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) + saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) + saveDMat(opts.fromDir(idir) + "tcnts.lz4", tf.counts) + println(".") } } From afe3bf5c8ad36cde23abc1c0fcbfe07a8e7eb139 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 12 Jul 2013 20:20:01 -0700 Subject: [PATCH 078/385] Multithread featurizer --- BIDMach.jar | Bin 130046 -> 132433 bytes src/main/scala/BIDMach/Featurizer.scala | 149 +++++++++++++----------- 2 files changed, 79 insertions(+), 70 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index b0a6f425ffcd82d1ce091a9ac6b2424320f6bd55..d4562a6ecff06d944010614b01eed58f8bf93b14 100755 GIT binary patch delta 16224 zcmaKTbC@LCw`JMruBt5CHoMei+qP|2cG@Vg8XCHgMg$k zJ%duE96W)3N!c*~MFS^wvQODI0L4l9cmjn2HmIJtDXRfKvphD&_YXlYethu*QA!Q$ z{z5y40#-znhcE%2`W@1GY+_u-v2TBq(TPH4#IdU^u)DH7)a#HIzd`$?kK|O}C~1H+>ZdrV8}sd%p!ra}@KI7U)EWrZ?nf zSSLhHV)H>wzvqc;#n>nVn2n zmXMaM@NQzU{p5ZFODRg-jH*y~z(w;C0re(@GMq;4@M6^ZSv0L`Hhs#wTa3p3%o zfZ9@lA|Nx-V}J$`4u2Gj8}uPkjHjkQB9GVO;2zoqSR5f5>@|#@HEVW)Vs&!EL-a;|M0T z3(z(H$vG0RHRwjnqqg)i6ych2j|542NMa8<(BULM4$t`xJa^ehQ=aL%4Fw#Zub zE$PfMyj{E{0Jv|wdF~y4$@UBq+yy@!q|t>Tfu=EVN=4mzU%H981RXK68KBXR#+=>>&|zSn{WCzh>%8Jfg2MBS{rOqU*GUK#o@^^*?I7E`+LHa+&5y

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z=>_Y*kV_SRk!V2szm_D>?ce|Mv@nfc!TczWrbLGB_9$xO@*NaQXxk8%PEL zMhnLK2dE4ICJbIW0Sfd#0!0IsLVz)Y$IXEzD*yF8AOAwYT~ alldict - for (ifile <- 0 until 24) { - val fn = opts.fromDir(idir)+opts.fromFile(ifile) - if (fileExists(fn)) { - val idata = loadIMat(fn) - var active = false - var intext = false - var i = 0 - var istatus = -1 - var nbi = 0 - var ntri = 0 - var len = idata.length - while (i < len) { - if (idata.data(i) > 0) { - val tok = dmap(idata.data(i)-1) - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else { - if (intext && idata.data(i-1) > 0) { - val tok1 = dmap(idata.data(i-1)-1) - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - if (idata.data(i-2) > 0) { - val tok2 = dmap(idata.data(i-2)-1) - if (tok2 != itstart) { - trigramsx(nbi, 0) = tok2 - trigramsx(nbi, 1) = tok1 - trigramsx(nbi, 2) = tok - ntri += 1 - } - } - } - } - } - } - i += 1 + + for (ithread <- 0 until opts.nthreads) { + Actor.actor { + val bigramsx = IMat(opts.guessSize, 2) + val trigramsx = IMat(opts.guessSize, 3) + val bdicts = new Array[IDict](24) + val tdicts = new Array[IDict](24) + + for (idir <- (opts.nstart+ithread) until opts.nend by opts.nthreads) { + val fname = opts.fromDir(idir)+opts.localDict + if (fileExists(fname)) { + val dict = Dict(loadBMat(fname)) + val dmap = dict --> alldict + for (ifile <- 0 until 24) { + val fn = opts.fromDir(idir)+opts.fromFile(ifile) + if (fileExists(fn)) { + val idata = loadIMat(fn) + var active = false + var intext = false + var i = 0 + var istatus = -1 + var nbi = 0 + var ntri = 0 + var len = idata.length + while (i < len) { + if (idata.data(i) > 0) { + val tok = dmap(idata.data(i)-1) + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + if (intext && idata.data(i-1) > 0) { + val tok1 = dmap(idata.data(i-1)-1) + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + if (idata.data(i-2) > 0) { + val tok2 = dmap(idata.data(i-2)-1) + if (tok2 != itstart) { + trigramsx(nbi, 0) = tok2 + trigramsx(nbi, 1) = tok1 + trigramsx(nbi, 2) = tok + ntri += 1 + } + } + } + } + } + } + i += 1 + } + val bigrams = IMat(nbi, 2, bigramsx.data) + val bid = IDict.dictFromData(bigrams) + val trigrams = IMat(nbi, 3, trigramsx.data) + val trid = IDict.dictFromData(trigrams) + bdicts(ifile) = bid + tdicts(ifile) = trid + } else { + bdicts(ifile) = null + tdicts(ifile) = null + } + } + val bf = IDict.union(bdicts) + val tf = IDict.union(tdicts) + saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) + saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) + saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) + saveDMat(opts.fromDir(idir) + "tcnts.lz4", tf.counts) + print(".") } - val bigrams = IMat(nbi, 2, bigramsx.data) - val bid = IDict.dictFromData(bigrams) - val trigrams = IMat(nbi, 3, trigramsx.data) - val trid = IDict.dictFromData(trigrams) - bdicts(ifile) = bid - tdicts(ifile) = trid - } else { - bdicts(ifile) = null - tdicts(ifile) = null } } - val bf = IDict.union(bdicts) - val tf = IDict.union(tdicts) - saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) - saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) - saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) - saveDMat(opts.fromDir(idir) + "tcnts.lz4", tf.counts) - println(".") } } @@ -127,5 +135,6 @@ object Featurizer { var mainDict:String = "/big/twitter/tokenized/alldict.gz" var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" var guessSize = 200000000 + var nthreads = 4 } } \ No newline at end of file From c2ff22ef69b043bf994b7c4248c7d0595435ff75 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 10:46:36 -0700 Subject: [PATCH 079/385] updates to Featurizer --- BIDMach.jar | Bin 132433 -> 132615 bytes src/main/scala/BIDMach/Clustering.scala | 2 +- src/main/scala/BIDMach/Featurizer.scala | 7 +++++-- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index d4562a6ecff06d944010614b01eed58f8bf93b14..873440e679f820b167b74039065bd265d3e3c9f3 100755 GIT binary patch delta 22819 zcmZsBb6{Sh zb7tnu^G=1sghaw1$Vq}jpo74`z<~59pT{ETfH(a9vmpVeP(DxAa|6YxDwhZSBh-L` zeg0cW{^|#cQzH#-1MwGbhc@~P$Lr7G)bM^-{HOd8&H(0bHGt;$54lB;2m6D>XJ_Cf zhwp>J)l_1w!2Q*UA`$)TEB?Fyr{kfWmY=(XPYL&z&r?JQtuDJ>p)H z_tUre>@W=Epsn{Z%&lZ?q?u=E0Ww!n4$xAAh>G728XmtL(i)&gk+A*~tE`A42mu++C z`MjS?t?b@zEHzT$2_RhS9Bhf_6Dcz^^y&mB!Bb}yW1v}rxHr;zRr&D*!25)$MdSMbr5Se4>WbTM2eGo-5H<*rJW)~&*Csa}+NEjiBm zr4K57f@M&6v3$VN@@@YTn!%5pD+TU)hf#o~skJ8i?_mUphNZ!s*00HVR-7bBXF4o~^bZ#-|{@$b~u z3Xe%a42x}>m5<&45fc}&wbw$xd*pk!#v7Erx3cn5TAiV^^3j5;{V&(X3)cri7+g$yFKL+@JwPX3>pg;qX!qULX2ztT zyGH3#crvFoB_{{l$4q<@W8Ho}CR*LE7rI-CF2>Pfpr6SAUwsK)HF=4odshLNAR|=j 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icol(0->nsamps)*iones(1,nsamps) - GMat.GPUsort(smat, imat) + GMat.sortGPU(smat, imat) (smat, imat) } } diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index f67a5a1f..2b43bcdc 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -14,8 +14,9 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val itstart = alldict(opts.startText) val itend = alldict(opts.endText) - for (ithread <- 0 until opts.nthreads) { + for (ithread <- 0 until math.max(1, Mat.hasCUDA)) { Actor.actor { + setGPU(ithread) val bigramsx = IMat(opts.guessSize, 2) val trigramsx = IMat(opts.guessSize, 3) val bdicts = new Array[IDict](24) @@ -43,7 +44,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (tok == isstart) { active = true istatus += 1 - } else if (tok == itstart && active) { + } else if (tok == itstart && active) { intext = true } else if (tok == itend) { intext = 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dmap(idata.data(i)-1) + if (tok < 0) throw new RuntimeException("Bad tok "+tok) if (tok == isstart) { active = true istatus += 1 @@ -54,12 +55,14 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } else { if (intext && idata.data(i-1) > 0) { val tok1 = dmap(idata.data(i-1)-1) + if (tok1 < 0) throw new RuntimeException("Bad tok1 "+tok) if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok nbi += 1 if (idata.data(i-2) > 0) { val tok2 = dmap(idata.data(i-2)-1) + if (tok2 < 0) throw new RuntimeException("Bad tok2 "+tok) if (tok2 != itstart) { trigramsx(nbi, 0) = tok2 trigramsx(nbi, 1) = tok1 From 0055c98634d8c0623e296466e8bcff667937df00 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 11:12:12 -0700 Subject: [PATCH 081/385] updates to Featurizer --- BIDMach.jar | Bin 132758 -> 132680 bytes src/main/scala/BIDMach/Featurizer.scala | 57 +++++++++++++----------- 2 files changed, 30 insertions(+), 27 deletions(-) diff --git a/BIDMach.jar 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idata.data(i-1) > 0) { - val tok1 = dmap(idata.data(i-1)-1) - if (tok1 < 0) throw new RuntimeException("Bad tok1 "+tok) - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - if (idata.data(i-2) > 0) { - val tok2 = dmap(idata.data(i-2)-1) - if (tok2 < 0) throw new RuntimeException("Bad tok2 "+tok) - if (tok2 != itstart) { - trigramsx(nbi, 0) = tok2 - trigramsx(nbi, 1) = tok1 - trigramsx(nbi, 2) = tok - ntri += 1 + if (tok >= 0) { + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + if (intext && idata.data(i-1) > 0) { + val tok1 = dmap(idata.data(i-1)-1) + if (tok1 >= 0) { + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + if (idata.data(i-2) > 0) { + val tok2 = dmap(idata.data(i-2)-1) + if (tok2 >= 0) { + if (tok2 != itstart) { + trigramsx(nbi, 0) = tok2 + trigramsx(nbi, 1) = tok1 + trigramsx(nbi, 2) = tok + ntri += 1 + } + } + } } } } From c5392391a00a973fd75462e8fbd3992e567afe87 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 12:36:09 -0700 Subject: [PATCH 082/385] fixes to featurizer --- BIDMach.jar | Bin 132680 -> 132848 bytes src/main/scala/BIDMach/Featurizer.scala | 2 ++ 2 files changed, 2 insertions(+) diff --git a/BIDMach.jar b/BIDMach.jar index 8c5c922847c69f8abb54955dd78add3c3580e19b..05b351d0b1157f278cf3fe892321306972cf5bb6 100755 GIT binary patch delta 10473 zcmZ{JV{m3&v-aeUZQIVo&ct>m=ESxqxF@!8$C=pXL=)S#Z5wCisjt5Cyl>Un`$z9y zt5>h9c2#$;zSdwQ%w-e|f|4va1jZ*A7?@99CUFP`0520i+Xh>((6B#WpocK90HB7K z3x)>n$J)|>30H!7D~UWTnEE1vABsg2T6Z2PtPLz|EHq?k?NVkZMfy@TA3SZi_SMq! zyn3}&PVUv53@w9_%}JhiMWecocty-J|9~_9d%?#ckHGu+s9ijzUw}YL#^~x($A$01 zgTMvoK;LVd_LKZ$*^l4UN%8}CNI>!ucvZJU7W#Bfq@yF#R1XGRbQ;SrYQ&l9dAMeg zyEni&Vo4yz*r6qP^6A11F1hKw_zFZXAwaZZs*$ngv7=vFzU$klTxx(88;+u>ytOee 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dv`Bn8+1JfUi_}gTp^T%lw4zS8mNqF)TBD~b8o|ff%T2&V228Ki?-F6p1u8Iaa z(+{+Wz{=T$+e0T0q3>3$T-=tSu6A1NZX4=oZ}Em1jVbiKn^fg4uKJ5a{Vdsh=TD6jO}2>y zCT*b7_apm?)5clntby%K<%NqMQT2v}5cH?yfHg-XCghE-4OcMQva}!Rpejd=0&b=(!b;N8wUjVVAs25Zh6ZS zY!2Jv!~#=-p z0#wixvMcTc`<$`;Sw0bRZoDW)Xt~9-K4WM3iVefnW)sCr9n`dyqf!v%{_Nx;tO559 zqW--sqb}6Q@QaZ%Y2n%a(n0>HGMI=uA~>=Z9%CuC;jQRap3LD#LEfO)RIfiX0d_9k%9);wAsY>%JQU8j!E%9Zz$)Rz1tp7H%fC(E32;azG zw#0}Su-oKY;6jAC5`agN;>+VHNCLgG`QKZ^lRt!PjL$`X|3w)Bhv%wzj}MO?hOZel z85(UPbDui`7V};4yqwTC(^fj&Oda_aq4))J0J28zJ9NhFjC>~t8^+iZ9us1j`FoA!9!1^-(qIlD;z`@b}1GV~e)U5lb z2QdEAax?x5`kwa}N|z=B@xP(}l)>o!1#K((3nfa+h5*Nd`y1we8u_$72yjgBm$JWe zm}%$#$IU<66#9R;@vQnU^ly)!273!ahyCm8Z 0) { val tok = dmap(idata.data(i)-1) if (tok >= 0) { + println("all: "+alldict(tok)) if (tok == isstart) { active = true istatus += 1 @@ -56,6 +57,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (intext && idata.data(i-1) > 0) { val tok1 = dmap(idata.data(i-1)-1) if (tok1 >= 0) { + println("txt: "+alldict(tok1)) if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok From b6a57bc68abc70b31befa0f1c6934a2128382b3a Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 12:41:04 -0700 Subject: [PATCH 083/385] fixes to featurizer --- BIDMach.jar | Bin 132848 -> 132845 bytes src/main/scala/BIDMach/Featurizer.scala | 10 +++++----- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 05b351d0b1157f278cf3fe892321306972cf5bb6..2cd3b464c8c8932728928ba97e5dad9e5ff6c9f4 100755 GIT binary patch delta 4280 zcmY+IXH=8f*TqxlV1NKB&44s1fuKkSDF&p3CcRfdP&9-pVCY~7MT!v-MUf^=iiW0? zPy_*`H|f%)M7k3A!_2$poq0ap``hR4b=UoH_F2zn0^M2y9g~qBn2H@hM@I+Xb$iU@ z0OEBEzx)0!Fz(UGim>+x7=;b;HMQV9TF;z!6PEH);zQ8`wVpDCvv}k~oBNWf@}j6d zYlOemzhyri-I0mdqA_9TK;NB6XE2AG%2?-`Fo4;|YfXy=hdc-0`W3D!yqF_PQMA7< zlj}CR1v#PeBa!!?25j7$+DKZo51thTp!SQx8bs1j?K=>GLPk^nCBiWdNR3@t7Rm^e z;AFdW`;o|*{&(h#)fzh#(7In?lwkMLZGk60hx<7N+;)-UR4sNO&63^^sPg?6ZS*=# zj$Qg0kycmE8@i#qLKS77)61gNTm%F!&Ud>)-e}Xsua1&-J-Un55ahKrH#QX(OY%b+VFin_2rB|89ea$DLN|N z(j5sTE4|lT!NpZh>)zd59Z@gL(c(G%&cksr*431!2?|^?X&qf%93xmCQmBcv!}Mz5@G-i&??Zj&@LPjGS{gOkINAl3d$bP;kzpT9uZ;U+$3EzrPFVu_=IW1-)9G zH|f2EIDTf%fzOaGkv1KVa(gJz>T`C`v>rEZwNl6$pKGu5QE5V;V&HO`FYV+HZ7Ojp z?;6D{h9~8UPYuoxIc2b`!VG?$9|XL{km8!<3`G==CayE-1u4iN5jREG+YjzBttONd z8mm-Z_1gXQ+BqvsHkoS;g+%F1t?hG{Z1CXLlCBE7EUdRFKd%_?ozdnVs+=e@Dvl6v zQulyb>@~6|-FBmxCdYW*k!ZDB`r(?@sF;xVI-a+!v$s1+?MoFFT2^LJ=zitHXPSx5 z4#^zh#ZNKzB5I*j)}pbR(+l5RHF+;l-yuzyH2SOZ`UF-badBq!sCkH?DUdTt=%lXM zOwQiJ@826=X5)yL?`77G|5hB21kGoqJ|2LQ!kFt=@{t{;68!EZjo+7j*%MsODAG_| z-%xT>S;UxP5QUl8x)POL&9j5=&goo>LFjj0@4}(0Ki6E!51<&lzIp!fQYcraF@JoF zfoHU|X*OP0-RdVHjaGgtOXiNjDt&0O>ZCX<{NmHKvGEZ3IO3PRiy3!H#ha9ltH1?-T|YRtvIc@eiMX@VTkT8n~ALc zY8bqp&#EQt(%L7ZL5g+DmuS@%9N>z5*cJZpxzCyS`AbeOeH~w>ywkt18wUO(6I!JO zU!Fq`eF-bKfjl$TA!jprvb@Z#8)a>CfF-?^V^0`EQEYLTh55rmE*bb9 z{elCF#K-s3wny}cXrn}b4(x*0YR--DhQeSq&&@NSr4#5R-x6wXf|2_(GMaaIX8~e*ZdBpqbVb+Y%^qGOXUz*`*O$_Pr zB?9de?NgqY9cuBT<5Jm@A&@N}y7_m4vEx1-Jx*}-l5^!VP+8G^;abd6hVFpF&1^o! 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z@SX4Lu}gQjp`R7GNbuko{L7?apnUr=o9SGw2ltjRUY=Mr)zvK%VYwV?Lz$tp_S-Re z?VF@R-&2t8`S1^w31il^dr{**lD}g&qrZuM4>3MWynENR9Lrf!c*j5NaHRsW^_fhT zEB|B)aNwAbl6#M#HwoFe78!Wqbu|BM)C$+FkHd$xjLo`OT|QLoLc8ojM$P@i@htCtBUAUw=e2JB6^ez~-PjS-x!j#RwWghVGpE{n@Ml%)OJMjCo z!L$|B01Ej1*Q&(c%!0FeWTkZvNa(5)Y1eS|R$HOw(JOhi(S) z0KA^jo{H;|QH!%b;N{}C9p|tmk{|_5P&?5vPuH-qEX|PaAqW(@tePT~a~Xdr5sz6A zo9%k;Nf7^9t%=3A@=*)t0M z%2=)97aTo4rM4lrq)owOk(QU97D$)jkiCZTOEA*43TS&l^vYY>y>P^vh%bTZ%l8g8jN%mPv4S985rPPD((aNbsM}19S}#sDI4>fUX#k zxqmb6pkW{&#kFd6ttuA&t+JxiKtN{BYv9JsC~0XB0f8hD0Rhv0@(4mp|L&znuY-WJ z*Mzfc0-)l5RnZCnBbwp>K=C&wtBzZc=nC`c>T`wu3u9CL?*KtTX48cPUN0lY@vAp$-CIWGXvAq!VtGSQW%gKi-L3J@8u0 0) { + if (intext && idata.data(i-1) > 0) { + println("txt: "+alldict(tok)) val tok1 = dmap(idata.data(i-1)-1) if (tok1 >= 0) { - println("txt: "+alldict(tok1)) if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok @@ -66,9 +66,9 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val tok2 = dmap(idata.data(i-2)-1) if (tok2 >= 0) { if (tok2 != itstart) { - trigramsx(nbi, 0) = tok2 - trigramsx(nbi, 1) = tok1 - trigramsx(nbi, 2) = tok + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok ntri += 1 } } From 4334cff5f630c4294cd2763372969d8cd453e08c Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 12:46:09 -0700 Subject: [PATCH 084/385] fixes to featurizer --- BIDMach.jar | Bin 132845 -> 132868 bytes src/main/scala/BIDMach/Featurizer.scala | 5 +++-- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 2cd3b464c8c8932728928ba97e5dad9e5ff6c9f4..cc51ab7f096c0369f789d39e03bcac8ff3468bba 100755 GIT binary patch delta 8859 zcmaiYWmFtp(=9W&dvJGm7(765cPF?62*E93k`N$Ra0YjGcL@y65Zo=ey9WJu-utcl z=DB}v|Ecaidso%!UUlm1I*LU3_5%f7Lm3`{01gEO1r8d6ZVrHcajJI$goXm3kn2!D z5ZK>?z>e_wQ*CSVq3t<4x-=SsfdxL$f!S%x5Jk~knQ}~wd5kr68C7Kt7QAezP<$)x z__o8Cu->_7y6#?+z!y0$MX?1O>2M}DxOf=DYrKO06$cA~wb9eY4kaTW_fSTc({w`1^nahZd& za(^&i_BK#JkTQ>1m_EjExMhS%-VVZqDqt&5?sU@k z0w@Qhtez7M;*JZ7Y^K$?sld60BivxUsgeJO48g&m}WgX?BO)b5~{6Lt{m*B%${}CpbFI+ zny2Ar6C*5=$^W|CB+EJnEtL_BYS5&kgOXsV6IHC1T2Q@D&}@sO^t|8pl8|Oy>1y)y zYP|NW3qoKODd2Tr2nI-A)2Y1~)M2ObFaMd7>_kv+g(-przohVB1J)*H#c1I!PDL&Y zyq0}6{Q+eVE|^>w|PFUpdpI z)ZG#Mxg|@^{PA5D71(>7v%$l0%1B>7%->!pQH3$0N!P=%p46*lIRsnrk&3fPkyq!V zjvTLu)o;hsGdPK0_0x*nC*<#5-^ke<%m^Mns$DzY5=c-`m&L&n02`m3cyrG`WF}x? zuDO3ppvXSCQjALcmaDl~h`na9H_5Y}``A4rpH`k(=oxk#t^{U7KSgA@mn|6%F`*3Z z@Kd=f`EGl^uN)xugNrY1LiDJ{oBIiP0hMjmd0Q7pmibd3e(6?Vd-L;Ba?FqNCGYAv zZ4d{I1V{KF;pB%tnr(!5x}|)Kl=GSNZ5v+(CMRwNo|!XTGpHq(k;5!L{*pQT^}=Blz=dSfJBy_7GhZSd!l ziD9dVr~b{**$voqg0rny@(}lKdW$EwY^I~;S??~Q2 zIiKFvB5LToY8#rOPShhvv?r!WkUad_pQCJLZoU;L;<+DH5K1LJ_!1x91qPcS03t zYjyb}+*fK<5!b`q2Om%00YHR`#miCTtG1RYRX%VH^*Q1{_WES(?hCV6AsQ!rSnqy&IJpVsbA%Xu8DSF#~rhI8Q%Or!ZP^a}*&xoL~d{D3r=m)o27Uj){sesRXHy~19^|Bsx`|d`cu7FINJG=cm z(Te`g>XfTmxhZPeuT4@@ZVjege>~9zzdO${Uz^AI;0T2=RT+x)lU&KxeMe7|eJfuI zzC~W>0gqMK&lQ-2A1Tr046$A^AB-0sN_W;^wsA%L!n9(89PJB%E_aAy0x$<)(eB; zX(yrnc;Q<{{d`abY~7)B-dc^B&?g353fI@$ek-VNBevRkN>Ra|k%zvzRg#t@w83Ch zN_~#f5dzUveDJ*VXDIOro4;HdE~;2yK(=b+aQ0e^ovC^t4@iTmt8M73n-vH<#EmF! 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b/src/main/scala/BIDMach/Featurizer.scala index 3ebf7301..c0df7ef2 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -42,7 +42,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (idata.data(i) > 0) { val tok = dmap(idata.data(i)-1) if (tok >= 0) { - println("all: "+alldict(tok)) +// println("all: "+alldict(tok)) if (tok == isstart) { active = true istatus += 1 @@ -55,10 +55,11 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { active = false } else { if (intext && idata.data(i-1) > 0) { - println("txt: "+alldict(tok)) +// println("txt: "+alldict(tok)) val tok1 = dmap(idata.data(i-1)-1) if (tok1 >= 0) { if (tok1 != itstart) { + println("txt: "+alldict(tok1)+" "+alldict(tok)) bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok nbi += 1 From 8c4dc79c90fd1873e8c5eb6b046409d4576724f8 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 12:53:16 -0700 Subject: [PATCH 085/385] fixes to featurizer --- BIDMach.jar | Bin 132868 -> 131899 bytes src/main/scala/BIDMach/Featurizer.scala | 17 ++++++++++------- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index cc51ab7f096c0369f789d39e03bcac8ff3468bba..d8215a92ec6ecbf56b4c9699c1fe47c0eb42c16e 100755 GIT binary patch delta 13895 zcmajGV{|23)Ha%(bl9e#kzbc_x=ww>HQ@4fdO=X`&@`ZH^c zdgiQESkp5&7N#Q<23|oL;tM($3=9ldu~`DVK6tTNfNhg4AUp!4*z8gm>|cigD6bTN z3EBh)rvSBm0;qviYOn4p>KGr>*&|ajb~!G2{Vg|p^llehEI()%ap}~f!w*k3 zawoF}MYv2iHk%lctr}=Y;NlU;{>H+Wgck`~ougx2Q&q9N629+)?(yeLo7VIaGjP6i zebo_n9!mgXtAn%0a?|1O2f;tqaY$k+0^+K~l&ERR6ql{jUSc;SbY|{Gc3J$`G2Ga{ zFpbDJI+qzC;AsZDFUQ?SUX!TBF`FFL)p1UpAq=LG?9%#c+nKXvNt7sg^&9=_C*zi` z@Ap+3WSUixcO(-X3BOex zD&|agcJ@yeR!uFdA00%Tdzb-`>Z!_gVnPJth2rh-{TV-g%B6Zc6=xgcL_Qi+5ut1p z=My3TS;8ulA!9W{J2=Jeu8Qx{a=PfuA8vmPc|$gOcvT7#urs{JH*8rrU+%2bX>eh% zB87Z)S?eaid(()E;X|0muUMJP_?lvQ9!+GnQ)Qha`D-@(!pbE-ET(AC^+aiifL=l^ 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a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -7,22 +7,25 @@ import scala.actors._ import java.io._ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { - def countGrams = { + val bigramsx = IMat(opts.guessSize, 2) + val trigramsx = IMat(opts.guessSize, 3) + def countGrams = { val alldict = Dict(loadBMat(opts.mainDict)) val isstart = alldict(opts.startItem) val isend = alldict(opts.endItem) val itstart = alldict(opts.startText) val itend = alldict(opts.endText) + val nthreads = math.max(1, Mat.hasCUDA) - for (ithread <- 0 until math.max(1, Mat.hasCUDA)) { - Actor.actor { + for (ithread <- 0 until nthreads) { +// Actor.actor { setGPU(ithread) - val bigramsx = IMat(opts.guessSize, 2) - val trigramsx = IMat(opts.guessSize, 3) +// val bigramsx = IMat(opts.guessSize, 2) +// val trigramsx = IMat(opts.guessSize, 3) val bdicts = new Array[IDict](24) val tdicts = new Array[IDict](24) - for (idir <- (opts.nstart+ithread) until opts.nend by opts.nthreads) { + for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { val fname = opts.fromDir(idir)+opts.localDict if (fileExists(fname)) { val dict = Dict(loadBMat(fname)) @@ -102,7 +105,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { print(".") } } - } +// } } } From eae34e3b3afb6a8d7b94b6f1d8ad4fe65142bc26 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 13:01:07 -0700 Subject: [PATCH 086/385] fixes to featurizer --- BIDMach.jar | Bin 131899 -> 132107 bytes src/main/scala/BIDMach/Featurizer.scala | 4 +++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index d8215a92ec6ecbf56b4c9699c1fe47c0eb42c16e..6f1ca688f982bd8d13eb8ecec76fff534280e0be 100755 GIT binary patch delta 14335 zcmZ{LV~{3I)9zS1*s*7JY}>YWY}+>Ov2EM7ZSB~$ZO_@~jq`o+yeH!HpX}ESX~eTGe7GlYv9nZzjrCmVZcrRb0_3w)UPcw zOewsYuv~ru_|jk40ftCQ1|47l)`av@dqD=jL?$p0Mu~``v_fdj=UA-MX-`GheI?8{ 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for (ithread <- 0 until nthreads) { @@ -51,7 +52,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { istatus += 1 } else if (tok == itstart && active) { intext = true - } else if (tok == itend) { + } else if (tok == itend || tok == ioverrun) { intext = false } else if (tok == isend) { intext = false @@ -145,6 +146,7 @@ object Featurizer { var endItem:String = "" var startText:String = "" var endText:String = "" + var overrun:String = "" var mainDict:String = "/big/twitter/tokenized/alldict.gz" var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" var guessSize = 200000000 From 95dbf97ac29077c168e29805fbc9d719305cc04f Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 13:20:22 -0700 Subject: [PATCH 087/385] fixes to featurizer --- BIDMach.jar | Bin 132107 -> 133229 bytes src/main/scala/BIDMach/Featurizer.scala | 20 ++++++++++++-------- 2 files changed, 12 insertions(+), 8 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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zocqWpf%uLK_7+=gH>ww+v=cYU@FJHK+B-DAG8VvVj4DN$MH-Vwj!guY2Qr@oJBFb; zL;(D@jxnFjz79pjst4)_L(2jpN}o(`|7gJ6bBvqP0=zC84tfeqyNC*lG)(+%f)wrH zNAV3GTQq_bX1sYOt-D-arakUV`fS^vw#ncLixa1c&!T~g35rl-KQL^W_4E6gcMb>j zt{QMy13|gtkVMB&F>owQ(aNHqtm1|tIy^W|4i)-Av7dD$2AH0l+CqfBx*rl6C05naob^(xX1z3`<6Auu_^BO68KYo$IGjPh7k z@W;p^rcbDc{xNm-_itkAE(8clDgrnNOsYH>2+n^rvGM<-^v@m& z+J7n4rZRwmP^IeU0YjwDfPujNca47*U@8BF1Lghi8pQua|5-l5{1+-x^gpP488Bq3 zE%^Vv^*_r}MS%GG4t?Mt$p2mBpXH=~E0I+GTM75S{6ABmzy7sI zP|g4HSpP-;>7_CLg)%n%2SrWgZvzHT-Mj;a{q-N;{lDMvuUG#!-`xKnUKn(06gahK z5*RC001|`}q+>4C1`= 0) { if (tok1 != itstart) { - println("txt: "+alldict(tok1)+" "+alldict(tok)) +// println("txt: "+alldict(tok1)+" "+alldict(tok)) bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok nbi += 1 @@ -106,7 +110,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { print(".") } } -// } + } } } From 28defe907f06acf165b66baf0360a67c027f7b7a Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 13:31:42 -0700 Subject: [PATCH 088/385] fixes to featurizer --- BIDMach.jar | Bin 133229 -> 132234 bytes src/main/scala/BIDMach/Featurizer.scala | 12 +++++++----- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 95dfb3d99facb84f6d733920e7af5056908c9712..9c0be62f4b98474ccf94f6715470363332bc8525 100755 GIT binary patch delta 13543 zcmZ9zV{~Opw1Ar(J007$ZQHihNjgSHyW@^K+_7!DW7~GpvF*G*_r7<>IdA=`AN9>u zV~sVYYo7mtjR=QDRFQ{(!~lbZg$28{i$gR9zqJc+XmkMl3`f1SyA%Wa*JA>jjtB6A zDgoedpjT4>F|bnW)fIgS^P{R^R&Vwtm7z5E3lZJ$;C33tS1{@wQwZ=i0s91S+r6ZQ zChUDf@=Aj+p;-<;ZofiB^;KvExl^H8E>aR1nOw!S0>#SV+E@h7`GR3 z_V8@Ge6%*No;AzkniFu+VRA@gtbE=3}9Tysv5-%nFg zjrE6dc*S$7_!H{w$9@}=q}Z%6=h(Z~sWq4!Fp@WKjbk$m5h>ln{>%i2X)f@7i5~Z| z)>Iexwj3j<*RY3MY}3AWJ19ZAsac4ZkkBfScQK66H>J!V#P+^+i;JgupYR zDiwQq)e|_z#jR%O(Yq~|v#EXPQS>Ap%CT^6t=SF$Rd7Mezq>hoS%tH4Ps|! zN?7Dob)zhIou1HtSWeDM8cX|*No>K<_B+E)2OLNlG0>tO6zYxpYzdz3_>4@a1?!f$ z&|h6x)K*f^Nc5 zwQOv*TZuWsu?K%n)=+&Bl-Y!IqZ 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zw3Q#NL3!3ue+9|Yg`=TDz96t!Q=MXb9B3Kg7&+7|=N`ak6jR|8&WKUpbDEEx=xklz zo80-IB(*8*H5j1#$XF~O z)6&pH_KI#og+w<}A~q5)j$TbPrdsm3(e1mWbTO{txNwc68Z!M+kzIeCBM(q{i=@3d zRYcQ08qeI?+sr zz}DMbSJH8p{VPMBwL8xCmkMwrAGil1b>^kKoNTYvA<*U%pPDA@1LHoe;>AX0+oLPr2nsWuH-myM3Vn>fBpNA zmgc`Y!N9+J2C4YOs{P<9+?l`+ti`xc_DJYbnSH08aIf zmH((npq&4hDXRF#3_VEZ8G!hYg?|f1bpK@mq6UNt4$kw>p4%U^aj6kgs51bBBPxPyY|@ZW7c0 diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index a5151db0..6f2d5cce 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -8,6 +8,8 @@ import java.io._ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { var alldict:Dict = null + val bdicts = new Array[IDict](24) + val tdicts = new Array[IDict](24) def init = { if (alldict == null) alldict = Dict(loadBMat(opts.mainDict)) @@ -23,12 +25,12 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val nthreads = math.max(1, Mat.hasCUDA) for (ithread <- 0 until nthreads) { - Actor.actor { +// Actor.actor { setGPU(ithread) val bigramsx = IMat(opts.guessSize, 2) val trigramsx = IMat(opts.guessSize, 3) - val bdicts = new Array[IDict](24) - val tdicts = new Array[IDict](24) +// val bdicts = new Array[IDict](24) +// val tdicts = new Array[IDict](24) for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { val fname = opts.fromDir(idir)+opts.localDict @@ -110,7 +112,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { print(".") } } - } +// } } } @@ -144,7 +146,7 @@ object Featurizer { var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) var localDict:String = "dict.gz" - var nstart:Int = encodeDate(2011,11,21) + var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,3,3) var startItem:String = "" var endItem:String = "" From 3560a40ef169162da7bba52126f4555a63588fe4 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 13:36:54 -0700 Subject: [PATCH 089/385] fixes to featurizer --- BIDMach.jar | Bin 132234 -> 132422 bytes src/main/scala/BIDMach/Featurizer.scala | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 9c0be62f4b98474ccf94f6715470363332bc8525..d057f1ecd28d7d3f7bc229096ee4824b14fa3f0e 100755 GIT binary patch delta 4357 zcmY*bXE+?()}5jZQGzI=BqULWVFb}d@1oa)Aw=&rY6cOVs55$t-V$|)-U*@x5yD{9 zL`kAV%g6gY&wcMbzs}z4tabK2KhE0GQIP&<2${AznBW!w0)YV1of65+LFrB*&JE7M z$f&Cw<~R!Ih4S;#H)6Tm9l4JX^fTGg27Xaa3zN~9k0+c&%YewjZmK}!Dn{Xmp?k^4 z-I*fxoeeWZ4vXatee)pNIQ7rMoigf0-c^kT6-@??pFbGv{Jq504D7XwB&U;v^oY@F zt}mW_Jw6LqZx|Q@+jVsifZA;O)$B44Q#iC+Ok%!3QR>o_CXSO)#@rm*6KIvKaF->n zWpa_rj5EkO+{eycEQoBsD$ zwYbBbC32p!HlaYpmwA>%_PjJdId6Lg6<0uga}Zu&|E#p)vUyCZg{b*Gl@(2jEIX7125n!E92}{y?1oG4C(Iks0b#3oa@wDYbT3y zoagv_csr$rsUyGQe5Nn{g3-?{EDm&(g3g5)wyV-r)r0Ezyb79)d0hR?^>;VsvfbFy+L~$uC|h z8a%XEOI8^rirtTQ!$Jw<(pdkU2vCIy^5+aY<_Coo!*}*d)9efubZOz 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zqmM_xPp|#XEtIPn7)%BNITA>^!OCpE14#2LSp9dLBz^^Vv(j9|iR%A`Tc!)}i1W8J zuEmX<)Q%Z}a!1FXMU8sLK6dVv-K0Ny|B&GE|w(hIhc6a*6dFE+3oj5e$Q3!w{v zfBIrCSjceYAC(8a3jhp%DkziQK|5X0S7<<>>;F~Z7WR+#D!OL_O#e?e#F@-2H3&4% zeBu8u?|dy7-Gm3j&`A)0it{31RsZKFnf|Yrq#cZ&YrpVzuYjr0a}a<7(Cb3~f&dy| xS+oWTpb9A;1EUw#E^@zw1P}z0r_nnbi, ?) val bid = IDict.dictFromData(bigrams) - val trigrams = IMat(nbi, 3, trigramsx.data) + val trigrams = trigramsx(0->ntri, ?) val trid = IDict.dictFromData(trigrams) bdicts(ifile) = bid tdicts(ifile) = trid From 6b9a73e76339aa9eaa73319f08ccc856375e6c1a Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 13:37:57 -0700 Subject: [PATCH 090/385] fixes to featurizer --- BIDMach.jar | Bin 132422 -> 133423 bytes src/main/scala/BIDMach/Featurizer.scala | 10 ++++------ 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index d057f1ecd28d7d3f7bc229096ee4824b14fa3f0e..da9f5133e827433f91dc6601d0d3d6d207004751 100755 GIT binary patch delta 13232 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zjp=5`FHp2Bzho9_zg;}AOH=O(UZv%zt(DVX{>h!V`$YOcl5}tEEO1vaG>}upAo;MD#}+Ttd9}BcL54Uj0`H|NgF0>a z2L3m7gt&B=71O?+T@Pz+C|DIMb{tJc8_+xHD^8JVUds;#JFUl(Sp94Rp ztiwPO{0IHpnZ^GXT2=TDik(6W3yJX`^lxL9?q4Wt>3`92SV;5~$p--DfB3&G+JE!k zEB=S4_z(KGHB0)hqpzy}i++NG#Q*PCIR39b Date: Mon, 15 Jul 2013 14:11:21 -0700 Subject: [PATCH 091/385] fixes to featurizer --- BIDMach.jar | Bin 133423 -> 132685 bytes src/main/scala/BIDMach/Featurizer.scala | 91 ++++++++++-------------- 2 files changed, 39 insertions(+), 52 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index da9f5133e827433f91dc6601d0d3d6d207004751..2427eee540bce6a7853008e5dba07874659ac9ff 100755 GIT binary patch delta 16282 zcmZ9zbC6_R)9yWO+qP|c+O}=msOg@zZQHhO+qS!>%`^A&e&_w}=hQ#BtM)H4c0|Rs z^4hs_)x<+iMMAuI<%J0qS{4=RYlXIZk3nZ=gfjLZ^_6`R@ziVZysN2=AqxS_s)&qj(d;i_0%7E zAdO!Ds8YJK$}Gm^bSjZtfKe5adwsKKZ|#XW@|}uKu7@YFsaEkHdVj$}vkE~6S8ggz zmSEdqWoHT}HNzHDiRSv{iO_{E4oh&GNjGD!;iob-aOUk|LnAr?0Y-453c`>=Xq3<;4bg@$jjVdk1j$f=fJvF*unjp6AOvg_ 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active = false var intext = false - var i = 0 var istatus = -1 var nbi = 0 var ntri = 0 var len = idata.length + var i = 0 while (i < len) { - if (idata.data(i) > 0) { - val tok = dmap(idata.data(i)-1) - if (tok >= 0) { -// println("all: "+alldict(tok)) - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend || tok == ioverrun) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else { - if (intext && idata.data(i-1) > 0) { -// println("txt: "+alldict(tok)) - val tok1 = dmap(idata.data(i-1)-1) - if (tok1 >= 0) { - if (tok1 != itstart) { -// println("txt: "+alldict(tok1)+" "+alldict(tok)) - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - if (idata.data(i-2) > 0) { - val tok2 = dmap(idata.data(i-2)-1) - if (tok2 >= 0) { - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - ntri += 1 - } - } - } - } - } - } + val tok = idata.data(i)-1 + if (tok >= 0) { +// println("all: "+dict(tok)) + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend || tok == ioverrun) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + val tok1 = idata.data(i-1)-1 + if (intext && tok1 >= 0) { + // println("txt: "+dict(tok)) + if (tok1 != itstart) { + // println("txt: "+alldict(tok1)+" "+alldict(tok)) + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + val tok2 = idata.data(i-2)-1 + if (tok2 >= 0) { + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + ntri += 1 + } + } + } } } } From 2be3ee3adc8ed18c5cacc9683d5e0cf278891e5a Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 14:15:14 -0700 Subject: [PATCH 092/385] fixes to featurizer --- BIDMach.jar | Bin 132685 -> 132696 bytes src/main/scala/BIDMach/Featurizer.scala | 38 +++++++++++++----------- 2 files changed, 20 insertions(+), 18 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 2427eee540bce6a7853008e5dba07874659ac9ff..dff6b7ce0cbdaf62f49c01723400cefdcbf28c98 100755 GIT binary patch delta 10807 zcmaiZWmFx@(l%_|-7RQv2o8bZ?(XjHE)#4M+=4qnH|`FBjRx1?2@u>R0fK!w=ic|O zbAEmEV`}yEQ(e7grlg;mj6+_ILq=0mgoDS2K}JS~*-b_>gWU~vYH@;%j)vXM_!SMC z49J1dk(tgB__mV4U((CPUVUD=P(lW2ubg0-kJ|7}Oo7E}5GspnmLS^jhVoRT1q2$6 zYHAnihBfDqnx!S*mLtKRSksp`b(Daw4Ic+6>X(^E%EQKaaNk4lx2L@oes&{}S}cH4 z5r0^n$GMcvBv}|#gX7!S>OWe)Z;N{gXc-my>C;#nlwD(nij_e0U$qP6eXJ&d^6gaG zK&LY89Sxo0-?uB9nHoDyg8eL9C*PO33AmKji0HHA%Gt8n=25s#M>rzYUnV3h^t0fc zM(??mSxN;>&@(bFsln4nU~7dIy9pf=w~ARpF>cK(#YQKra@$WM9Q|i9-&@!K=qyaW z)boesjAc8P+T0uV%Y54Icqi3qibYjvYjR35jn)0laq%m^2%#=9ZKHP?n1aRNHuKys z^U8%En!ZjTm$*Ex)RLM~cFwHt>9KE zZtfi!FR;zGgh*x=@sIM}^v3-(WdWT~bBHSCy+DqT6~wy29wi;37iSHC@am?@-^VMi zSeCDS&Gd3aPYbZ`;&befXOV2ctf63qQIF&AW&S 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0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + ntri += 1 + } + } + } + } } } } From 0feb1d02fc97fa785690b28778c5e9108c663aee Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 15:23:01 -0700 Subject: [PATCH 093/385] fix Featurizer --- BIDMach.jar | Bin 132696 -> 132697 bytes src/main/scala/BIDMach/Featurizer.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index dff6b7ce0cbdaf62f49c01723400cefdcbf28c98..4cbfe9c9270572f6ec38a34214c93943a12d94cf 100755 GIT binary patch delta 1815 zcmZ9Mc{tnI8prcXL?WeRLJ_GD?Nl&R2K6YNju1<^V=JPlK}!%@N@~xv6}@KYgs7mC zC~Zusb&$kTR68xDrL=anRIKUHdMv$`xxdUG_nGIO^T+4=e&2K6^Pcm^8O=tHWg`{c zoMCdR5F`=_5hUj-20{hN*P@!DfPZI!O0=B?Bq+#4GzTa|$^`OPzzz-yPT((C5w#Ss zhRNLW`v6H!=HBIDxsEU>TBKG1xXV&p^j83uJ5vkbMEok?%l}y-(6W_9oO5$n?%4)F z3+|&uR&D17HUK8fWZD^r{*Qe+?sEUT~PYag@a}tDOAHxXkbIiUUUtzk zl@e~Ay#JheB3tTDKl!Y_$BO3XB+x@w3R+Z-3PMo4YWZ(tDO!8+Q$H15Rg1{+;TgyM 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xvtI`2F>4XvZg}4WP#6Ratw4Y~;Q}cXNdZFxqCes*K`ddO)>xg diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 467df20c..6646619d 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -142,7 +142,7 @@ object Featurizer { var overrun:String = "" var mainDict:String = "/big/twitter/tokenized/alldict.gz" var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" - var guessSize = 200000000 + var guessSize = 100000000 var nthreads = 4 } From b3811a65a2efa905027bdfe2737c2c1a2a50d1ff Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 17:02:58 -0700 Subject: [PATCH 094/385] featurizer bigram coutns --- BIDMach.jar | Bin 132697 -> 132898 bytes src/main/scala/BIDMach/Featurizer.scala | 3 ++- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 4cbfe9c9270572f6ec38a34214c93943a12d94cf..0a375ebad6c8bf2f4a397e7aa41a38e2da2b8c75 100755 GIT binary patch delta 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var nend:Int = encodeDate(2013,3,3) var startItem:String = "" var endItem:String = "" From c845217d6aa115cafd5ef42fc4f42cb94705d0db Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 17:07:28 -0700 Subject: [PATCH 095/385] featurizer bigram coutns --- BIDMach.jar | Bin 132898 -> 132950 bytes src/main/scala/BIDMach/Featurizer.scala | 1 + 2 files changed, 1 insertion(+) diff --git a/BIDMach.jar b/BIDMach.jar index 0a375ebad6c8bf2f4a397e7aa41a38e2da2b8c75..4a04059f969c371f8c113c5152f320537c4a09e6 100755 GIT binary patch delta 12190 zcmZX4Wl&vB(=7*rySoQ>ch}(V?oM#$1P|^UoZ#;6?(R--hu|(Z&-+z<_kHf2KfP_n+5pF60i+SA8%Y ziRd5cQy@58m%?N=NIZ@7P*otU7T;vwx521*wl8F|tUTjQnal8B_9g|ua}S;?%ox%k z$4Bl{L-LZFmy0!EesaOs*(+9R*_$;rMA=3RBJeprCZB6j8rEg8!3`O)Eb%IEgoZlv zQKCb!3DoY+B;6&o=aS^*Ldjq#mw#5?MbHHy(R!;!+)qmo} z^cd6T+vfeOAEbrbH+Wq^N;QNcY`uoouE1onT72vFh2aN)oBC(X}4ahYPm91VDDJt*F@) zr>dP=T6a7zTDHoI5lqr5h>IG{mTTl2RrPFuu!RTzv{v^xwt1oHs7>^bf?tE^3XQsY 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opts:Featurizer.Options = new Featurizer.Options) { val bid = IDict.dictFromData(bigrams) val trigrams = trigramsx(0->ntri, ?) val trid = IDict.dictFromData(trigrams) + println("bid=%d, trid=%d" format (bid.length, trid.length)) bdicts(ifile) = bid tdicts(ifile) = trid } else { From 403930c467dae9f27d704c487e67de2e85d00841 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 17:40:09 -0700 Subject: [PATCH 096/385] featurizer bigram coutns --- BIDMach.jar | Bin 132950 -> 133239 bytes src/main/scala/BIDMach/Featurizer.scala | 3 +++ 2 files changed, 3 insertions(+) diff --git a/BIDMach.jar b/BIDMach.jar index 4a04059f969c371f8c113c5152f320537c4a09e6..8c09d902f089a3a212590306372ff08dd2b9970d 100755 GIT binary patch delta 10676 zcmZ{KWl&v9&@BfE?(Tu$?k>UI-Q8V+!wK$?V29vNaCdiicXxM(m)!4FefPeqxBsl} z>D7B`*RJX5S~K%8Fb_Xq5ENw~AThvTU|_%i(LWIkzyZd2kS}Ooy1EwoL67p}%zyq)W^Vj(552*XccnAk5{==3^0N4OwJ0|0SMjYv}3O!g3q@(Fk@IB9Wta_ZB|`lM$(C5b1KUyjoCZ*wHP z3gx_rd&3t9cdAd1Y@npT(AA33QK+X{GBmR!0 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bf.counts) saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) From e9697969929b50c94194b6368f032e7f34de49fe Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 15 Jul 2013 17:58:59 -0700 Subject: [PATCH 097/385] featurizer bigram coutns --- BIDMach.jar | Bin 133239 -> 132766 bytes src/main/scala/BIDMach/Featurizer.scala | 10 +++++----- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8c09d902f089a3a212590306372ff08dd2b9970d..4f09cbaa5c7e28f1c737a5465b9b66cf7f3e2337 100755 GIT binary patch delta 6473 zcmY*-by!qg`}NGgFo2YFBi#)G(jna)O6SmB!YEzRFm!iGH%JIbcMA#(-5`R1@WbbN zzwde9^Vh!Dy3e}zxvz8Wz4pG2N6q<&ilMHAgp3bBMMVW@#3f*ufP!K_I5s%~BO;$h z@asrm2+ZFDUytN*?T8^MTiLkhJ@s~14}*winS(DnGROh*6GO;_`tlK$*;nhAV-r$& z3qjh`y7u!dLDfarA1Be74Vaj2%BmN<=XLE5I}ER~Zo_wdZuR0m3-e|YeFzp!%R&TR z`+q+T{Oq^{ISLQ9amWoF@|ia@of zA+=#4*4wi05~cQhVq&hB^*Kdks!NHx%)2pqCZ+{-Wcm;s?GFVmuMUZuCA79MugxMQ zzK+2xvs#ZscF*&;fdga2x|%0aC9`T8%0ojH)_$MOR<#FITpmT*@Y@aBK7O&J8zoa2 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println("merging") - tic +// println("merging") +// tic val bf = IDict.union(bdicts) val tf = IDict.union(tdicts) - println("time=%f" format toc) +// println("time=%f" format toc) saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) From 0a5eb2e3622916106fc22f1cfb849487ec535d1b Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 00:13:42 -0700 Subject: [PATCH 098/385] fixes to featurizer --- BIDMach.jar | Bin 132766 -> 1353891 bytes src/main/scala/BIDMach/Featurizer.scala | 173 +++++++++++++++++++++--- 2 files changed, 153 insertions(+), 20 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 4f09cbaa5c7e28f1c737a5465b9b66cf7f3e2337..be2b215ea302abdc1b837c60c4c76822a3bbc65c 100755 GIT binary patch literal 1353891 zcmbTd1B@?W^Y1yfZQHhO+qP}nIA?6zHh*)*wr$Ux@ywq0{%`K?-n)CV*-mxRovu7j zC;ds)w<^_2vY=pSKu}OnK-s`|B0&F_0}TiaNM2k`m|j{zf>B;rL0UpwRgFPj;(G!J 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(fm.exists) { + val bb = HMat.loadBMat(opts.fromMonthDir(d) + dictname) + val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) + yd(nmerged % 5) = Dict(bb, cc, 4*opts.threshold) + nmerged += 1 + print("*") + if (nmerged % 5 == 0) { + val dm = Dict.union(yd:_*) + if (nmerged == 5) { + dy = dm + } else { + dy = Dict.union(dy, dm) + } + } + } + } + } + if (nmerged % 5 != 0) { + val dm = Dict.union(yd.slice(0, nmerged % 5):_*) + dy = Dict.union(dy, dm) + } + println + val (sv, iv) = sortdown2(dy.counts) + val dyy = Dict(dy.cstr(iv), sv) + HMat.saveBMat(opts.fromDir + dictname, BMat(dyy.cstr)) + HMat.saveDMat(opts.fromDir + wcountname, dyy.counts) + dyy + } + + def mergeIDicts(rebuild:Boolean,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { + val alldict = Dict(HMat.loadBMat(opts.mainDict)) + val dd = new Array[IDict](6) + val md = new Array[IDict](6) + var dy:IDict = null + var nmerged = 0 + var ndone = 0 + for (d <- opts.nstart to opts.nend) { + val (year, month, day) = Featurizer.decodeDate(d) + if (day == 1) ndone = 0 + val fm = new File(opts.fromMonthDir(d) + wcountname) + if (rebuild || ! fm.exists) { + val fd = new File(opts.fromDayDir(d) + wcountname) + if (fd.exists) { + val dict = Dict(HMat.loadBMat(opts.fromDayDir(d) + opts.localDict)) + val map = dict --> alldict + val bb = HMat.loadIMat(opts.fromDayDir(d) + dictname) + val cc = HMat.loadDMat(opts.fromDayDir(d) + wcountname) + val bm = map(bb) + val igood = find(min(bm, 2) >= 0) + val bg = bm(igood,?) + val cg = cc(igood) + val ip = icol(0->igood.length) + IDict.sortlex2or3cols(bg, ip) + IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) + print("-") + } + if (day == 31 || d == opts.nend - 1) { + val dx = IDict.treeFlush(dd) + if (dx != null) { + val (sv, iv) = sortdown2(dx.counts) + HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams(iv,?)) + HMat.saveDMat(opts.fromMonthDir(d)+wcountname, sv) + } + } + } + if (day == 31 || d == opts.nend - 1) { + val fm = new File(opts.fromMonthDir(d) + wcountname) + if (fm.exists) { + val bb = HMat.loadIMat(opts.fromMonthDir(d) + dictname) + val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) + val ip = icol(0->cc.length) + val iss = IDict.sortlex2or3cols(bb, ip) + IDict.treeAdd(IDict(bb, cc(ip), 4*opts.threshold), md) + } + } + } + dy = IDict.treeFlush(md) + println + val (sv, iv) = sortdown2(dy.counts) + val dyy = IDict(dy.grams(iv,?), sv) + HMat.saveIMat(opts.fromDir + dictname, dyy.grams) + HMat.saveDMat(opts.fromDir + wcountname, dyy.counts) + dyy + } + + def gramDicts = { val nthreads = math.max(1, Mat.hasCUDA) for (ithread <- 0 until nthreads) { @@ -16,12 +141,13 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { setGPU(ithread) val bigramsx = IMat(opts.guessSize, 2) val trigramsx = IMat(opts.guessSize, 3) - val bdicts = new Array[IDict](24) - val tdicts = new Array[IDict](24) + val bdicts = new Array[IDict](5) + val tdicts = new Array[IDict](5) for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { - val fname = opts.fromDir(idir)+opts.localDict - if (fileExists(fname)) { + val fname = opts.fromDayDir(idir)+opts.localDict + val fnew = opts.fromDayDir(idir)+"tcnts.lz4" + if (fileExists(fname) && !fileExists(fnew)) { val dict = Dict(loadBMat(fname)) val isstart = dict(opts.startItem) val isend = dict(opts.endItem) @@ -29,7 +155,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val itend = dict(opts.endText) val ioverrun = dict(opts.overrun) for (ifile <- 0 until 24) { - val fn = opts.fromDir(idir)+opts.fromFile(ifile) + val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) if (fileExists(fn)) { val idata = loadIMat(fn) var active = false @@ -85,18 +211,14 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val trigrams = trigramsx(0->ntri, ?) val trid = IDict.dictFromData(trigrams) // println("bid=%d, trid=%d" format (bid.length, trid.length)) - bdicts(ifile) = bid - tdicts(ifile) = trid - } else { - bdicts(ifile) = null - tdicts(ifile) = null - } + IDict.treeAdd(bid, bdicts) + IDict.treeAdd(trid, tdicts) + } } // println("merging") // tic - val bf = IDict.union(bdicts) - val tf = IDict.union(tdicts) -// println("time=%f" format toc) + val bf = IDict.treeFlush(bdicts) + val tf = IDict.treeFlush(tdicts) saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) @@ -125,20 +247,30 @@ object Featurizer { (yy, mm, dd) } - def dirMap(fname:String):(Int)=>String = { + def dirxMap(fname:String):(Int)=>String = { (n:Int) => { val (yy, mm, dd) = decodeDate(n) (fname format (n % 16, yy, mm, dd)) } } + def dirMap(fname:String):(Int)=>String = { + (n:Int) => { + val (yy, mm, dd) = decodeDate(n) + (fname format (yy, mm, dd)) + } + } + class Options { - var fromDir:(Int)=>String = dirMap("/disk%02d/twitter/tokenized/%04d/%02d/%02d/") - var toDir:(Int)=>String = dirMap("/disk%02d/twitter/featureized/%04d/%02d/%02d/") + var fromDayDir:(Int)=>String = dirxMap("/disk%02d/twitter/tokenized/%04d/%02d/%02d/") + var fromDir = "/big/twitter/tokenized/" + var fromMonthDir:(Int)=>String = dirMap(fromDir + "%04d/%02d/") + var fromYearDir:(Int)=>String = dirMap(fromDir + "%04d/") + var toDayDir:(Int)=>String = dirMap("/disk%02d/twitter/featurized/%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) var localDict:String = "dict.gz" - var nstart:Int = encodeDate(2012,03,01) + var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,3,3) var startItem:String = "" var endItem:String = "" @@ -147,6 +279,7 @@ object Featurizer { var overrun:String = "" var mainDict:String = "/big/twitter/tokenized/alldict.gz" var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" + var threshold = 10 var guessSize = 100000000 var nthreads = 4 } From 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zV%;{dOR#l^?hbMJ@>)=8_aHx<;a$|#df-0$+W4RdZnud$#H*WY5jKHA5g|U_eZy*p z4GeQ^XON{R{J*(!<gf-yg3v*S+`1S5>L_*(ZX z)!|LgLNLLB$(gwOv}U3f(l@l1S4c>&ARo_04d5wYzd&!tcG)3r5d5r0S)1fC&~#b= ITYsAW0|cGK?*IS* From 1c414e14d4811c65b583b9036c7e640659c538bb Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 00:31:25 -0700 Subject: [PATCH 100/385] fixes to featurizer --- BIDMach.jar | Bin 144302 -> 144219 bytes src/main/scala/BIDMach/Featurizer.scala | 8 ++++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 47cecf4227bb2ee58ac6c1423c022cefb3801b4d..75728194955b8dfd3c96674b629671b2d9f46036 100755 GIT binary patch delta 4982 zcmY*bWmr@T*PWmd1_qECVrWEWXb_NYL{d^v5Jftq!=a=Fkr;6Rk(N$L>4u>j0qK^O z6koXad+vAd`EmAo)?Rz<{hae>6|E7>tPcp7(bpP7gybjRd_9=P;tXr)${X1B`XVGRgdSr2}0_)>-Oflp(bU#jmJW z+2UV5&=*z|bl)1=vDO%SbRicKq2l@uUOm?3q_58Z$cSF=fx7TffMsBS{j>EA6^`1K zqnEa_x?*>?LZp&MT3NG`HFB+Ih&qWCyzCy#m^|#t#%~=r6hovL%TWcB$&u0KwJ7!L 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z6aXY{lXS3~r19Wwk`5^|2*yFWQ3FK(bl$#sG=BRv5M&k%AZNPaI{E+pUJek5>VGxRHgWHitf`B}h02YueKud#c6a=`j?&AZW*jhJ#HG+%*3mP-#w3 diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index c5a77f8a..37fd0817 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -219,10 +219,10 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { // tic val bf = IDict.treeFlush(bdicts) val tf = IDict.treeFlush(tdicts) - saveIMat(opts.fromDir(idir) + "bdict.lz4", bf.grams) - saveDMat(opts.fromDir(idir) + "bcnts.lz4", bf.counts) - saveIMat(opts.fromDir(idir) + "tdict.lz4", tf.grams) - saveDMat(opts.fromDir(idir) + "tcnts.lz4", tf.counts) + saveIMat(opts.fromDayDir(idir) + "bdict.lz4", bf.grams) + saveDMat(opts.fromDayDir(idir) + "bcnts.lz4", bf.counts) + saveIMat(opts.fromDayDir(idir) + "tdict.lz4", tf.grams) + saveDMat(opts.fromDayDir(idir) + "tcnts.lz4", tf.counts) print(".") } } From e69510af1c7dfc7f2b0104f7bfe0f2cf26494f24 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 01:02:23 -0700 Subject: [PATCH 101/385] fixes to featurizer --- BIDMach.jar | Bin 144219 -> 144219 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 75728194955b8dfd3c96674b629671b2d9f46036..0ae2163dcafa2bf9549b8b31e4c1882d435c04d1 100755 GIT binary patch delta 38 ucmccpjN|q*4xRvSW)=|!4h{|mPmV^ORvyN!JWQJenLIhR9}r}ktq1_qdkOpi delta 30 mcmccpjN|q*j_L1bGfFi|wMsE=m10^V$n=tV`vF0w*@^(s4hzHp From e35a388027874f7f3517390be573bdddf58b4a75 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 13:16:24 -0700 Subject: [PATCH 102/385] featurizer options --- BIDMach.jar | Bin 144219 -> 144992 bytes src/main/scala/BIDMach/Featurizer.scala | 68 ++++++++++++++---------- 2 files changed, 40 insertions(+), 28 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 0ae2163dcafa2bf9549b8b31e4c1882d435c04d1..8766aad50c6f3c6320cbc5529eb89003f6d47118 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for this day val cc = HMat.loadDMat(opts.fromDayDir(d) + wcountname) - val bm = map(bb) - val igood = find(min(bm, 2) >= 0) + val map = dict --> mdict // Map from this days tokens to month dictionary + val bm = map(bb) // Map the ngrams + val igood = find(min(bm, 2) >= 0) // Find the good ones val bg = bm(igood,?) val cg = cc(igood) val ip = icol(0->igood.length) - IDict.sortlex2or3cols(bg, ip) - IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) + IDict.sortlex2or3cols(bg, ip) // lex sort them + IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) // accumulate them print("-") } - if (day == 31 || d == opts.nend - 1) { + if (day == 31) { // On the last day, save the accumulated results val dx = IDict.treeFlush(dd) if (dx != null) { - val (sv, iv) = sortdown2(dx.counts) - HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams(iv,?)) - HMat.saveDMat(opts.fromMonthDir(d)+wcountname, sv) + HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) + HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) } } } - if (day == 31 || d == opts.nend - 1) { + if (day == 31) { // Unconditionally accumulate monthly dicts val fm = new File(opts.fromMonthDir(d) + wcountname) if (fm.exists) { - val bb = HMat.loadIMat(opts.fromMonthDir(d) + dictname) + val bb = HMat.loadIMat(opts.fromMonthDir(d) + dictname) // Load the IDict data for this month val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) - val ip = icol(0->cc.length) - val iss = IDict.sortlex2or3cols(bb, ip) - IDict.treeAdd(IDict(bb, cc(ip), 4*opts.threshold), md) + val map = mdict --> alldict + val bm = map(bb) // Map to global token dictionary + val igood = find(min(bm, 2) >= 0) // Save the good stuff + val bg = bm(igood,?) + val cg = cc(igood) + val ip = icol(0->igood.length) + IDict.sortlex2or3cols(bg, ip) + IDict.treeAdd(IDict(bg, cg(ip), 4*opts.threshold), md) } } } - dy = IDict.treeFlush(md) + dy = IDict.treeFlush(md) // Final dictionary for the time period println - val (sv, iv) = sortdown2(dy.counts) + val (sv, iv) = sortdown2(dy.counts) // Sort down by ngram frequency val dyy = IDict(dy.grams(iv,?), sv) HMat.saveIMat(opts.fromDir + dictname, dyy.grams) HMat.saveDMat(opts.fromDir + wcountname, dyy.counts) dyy } + // Has trouble with more than two threads + def gramDicts = { - val nthreads = math.max(1, Mat.hasCUDA) + val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) for (ithread <- 0 until nthreads) { Actor.actor { - setGPU(ithread) + if (Mat.hasCUDA > 0) setGPU(ithread) val bigramsx = IMat(opts.guessSize, 2) val trigramsx = IMat(opts.guessSize, 3) val bdicts = new Array[IDict](5) @@ -281,7 +293,7 @@ object Featurizer { var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" var threshold = 10 var guessSize = 100000000 - var nthreads = 4 + var nthreads = 2 } From 97facb10a05ac5204a6d5ddd949462607271267d Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 13:31:53 -0700 Subject: [PATCH 103/385] featurizer options --- 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dy:Dict = null - var nmerged = 0 - var ndone = 0 + val dd = new Array[Dict](5) // Big enough to hold log2(days per month) + val nmonths = 2 + (opts.nend - opts.nstart)/31 + val md = new Array[Dict]((math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) for (d <- opts.nstart to opts.nend) { val (year, month, day) = Featurizer.decodeDate(d) - if (day == 1) ndone = 0 val fm = new File(opts.fromMonthDir(d) + wcountname) if (rebuild || ! fm.exists) { val fd = new File(opts.fromDayDir(d) + wcountname) if (fd.exists) { val bb = HMat.loadBMat(opts.fromDayDir(d) + dictname) val cc = HMat.loadIMat(opts.fromDayDir(d) + wcountname) - dd(ndone % 6) = Dict(bb, cc, opts.threshold) - ndone = ndone + 1 - print("-") - if (ndone % 6 == 0) { - md(ndone / 6 - 1) = Dict.union(dd:_*) - print("+") - } + Dict.treeAdd(Dict(bb, cc, opts.threshold), dd) + print("+") } - if (day == 31 || d == opts.nend - 1) { - if (ndone % 6 != 0) { - md(ndone / 6) = Dict.union(dd.slice(0, ndone % 6):_*) - print("+") - } - if (ndone > 0) { - val dx = Dict.union(md.slice(0, (ndone-1)/6+1):_*) - val (sv, iv) = sortdown2(dx.counts) - val dxx = Dict(dx.cstr(iv), sv) - HMat.saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) - HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) - } + if (day == 31) { + val dx = Dict.treeFlush(dd) + val (sv, iv) = sortdown2(dx.counts) + val dxx = Dict(dx.cstr(iv), sv) + HMat.saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) + HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) } } - if (day == 31 || d == opts.nend - 1) { + if (day == 31) { val fm = new File(opts.fromMonthDir(d) + wcountname) if (fm.exists) { val bb = HMat.loadBMat(opts.fromMonthDir(d) + dictname) val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) - yd(nmerged % 5) = Dict(bb, cc, 4*opts.threshold) - nmerged += 1 - print("*") - if (nmerged % 5 == 0) { - val dm = Dict.union(yd:_*) - if (nmerged == 5) { - dy = dm - } else { - dy = Dict.union(dy, dm) - } - } + Dict.treeAdd(Dict(bb, cc, 4*opts.threshold), md) } } } - if (nmerged % 5 != 0) { - val dm = Dict.union(yd.slice(0, nmerged % 5):_*) - dy = Dict.union(dy, dm) - } println + val dy = Dict.treeFlush(md) val (sv, iv) = sortdown2(dy.counts) val dyy = Dict(dy.cstr(iv), sv) HMat.saveBMat(opts.fromDir + dictname, BMat(dyy.cstr)) From dcc5f5e764e3771245b8ecce1b91387006dc1d90 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 14:42:10 -0700 Subject: [PATCH 104/385] featurizer options --- BIDMach.jar | Bin 144019 -> 144661 bytes src/main/scala/BIDMach/Featurizer.scala | 119 ++++++++++++------------ 2 files changed, 57 insertions(+), 62 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index f608c403a1b700252870f5219cad17f33bf990ae..7afef0b94e04abb8ed167c07cbf1bd154ecefe13 100755 GIT binary patch delta 27070 zcmaI7V|1la*DTtxcG4X?>Daby+qP}&j&0kvZFP(t+qRQV(zoC5eCHmFJMQ}PtTER7 zTXWV^RWs=bHsu@^peO?YiS`W^7WP}SYXZOkyw)YauEh>4JmTLi?Ii+?A86x)Du(7y 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mergeDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { - val dd = new Array[Dict](5) // Big enough to hold log2(days per month) + def mergeDailyDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { + val dd = new Array[Dict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 val md = new Array[Dict]((math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) for (d <- opts.nstart to opts.nend) { @@ -49,7 +49,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { dyy } - def mergeIDicts(rebuild:Boolean,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { + def mergeDailyIDicts(rebuild:Boolean,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { val alldict = Dict(HMat.loadBMat(opts.mainDict)) val dd = new Array[IDict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 @@ -115,11 +115,61 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { dyy } - // Has trouble with more than two threads + def twitterScanner(opts:Featurizer.Options, dict:Dict, idata:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int) = { + val isstart = dict(opts.startItem) + val isend = dict(opts.endItem) + val itstart = dict(opts.startText) + val itend = dict(opts.endText) + val ioverrun = dict(opts.overrun) + var active = false + var intext = false + var istatus = -1 + var nbi = 0 + var ntri = 0 + var len = idata.length + var i = 0 + while (i < len) { + val tok = idata.data(i)-1 + if (tok >= 0) { + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend || tok == ioverrun) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + if (intext) { + val tok1 = idata.data(i-1)-1 + if (tok1 >= 0) { + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + val tok2 = idata.data(i-2)-1 + if (tok2 >= 0) { + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + ntri += 1 + } + } + } + } + } + } + } + i += 1 + } + (nbi, ntri) + } - def gramDicts = { + def gramDicts(scanner:(Featurizer.Options, Dict, IMat, IMat, IMat)=>(Int, Int)) = { val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) - for (ithread <- 0 until nthreads) { Actor.actor { if (Mat.hasCUDA > 0) setGPU(ithread) @@ -133,74 +183,19 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fnew = opts.fromDayDir(idir)+"tcnts.lz4" if (fileExists(fname) && !fileExists(fnew)) { val dict = Dict(loadBMat(fname)) - val isstart = dict(opts.startItem) - val isend = dict(opts.endItem) - val itstart = dict(opts.startText) - val itend = dict(opts.endText) - val ioverrun = dict(opts.overrun) for (ifile <- 0 until 24) { val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) if (fileExists(fn)) { val idata = loadIMat(fn) - var active = false - var intext = false - var istatus = -1 - var nbi = 0 - var ntri = 0 - var len = idata.length - var i = 0 - while (i < len) { - val tok = idata.data(i)-1 - if (tok >= 0) { -// println("all: "+dict(tok)) - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend || tok == ioverrun) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else { - if (intext) { - val tok1 = idata.data(i-1)-1 - if (tok1 >= 0) { - // println("txt: "+dict(tok)) - if (tok1 != itstart) { - // println("txt: "+alldict(tok1)+" "+alldict(tok)) - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - val tok2 = idata.data(i-2)-1 - if (tok2 >= 0) { - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - ntri += 1 - } - } - } - } - } - } - } - i += 1 - } -// println("bi=%d, tri=%d" format (nbi, ntri)) + val (nbi, ntri) = scanner(opts, dict, idata, bigramsx, trigramsx) val bigrams = bigramsx(0->nbi, ?) val bid = IDict.dictFromData(bigrams) val trigrams = trigramsx(0->ntri, ?) val trid = IDict.dictFromData(trigrams) -// println("bid=%d, trid=%d" format (bid.length, trid.length)) IDict.treeAdd(bid, bdicts) IDict.treeAdd(trid, tdicts) } } -// println("merging") -// tic val bf = IDict.treeFlush(bdicts) val tf = IDict.treeFlush(tdicts) saveIMat(opts.fromDayDir(idir) + "bdict.lz4", bf.grams) From 068df0fb951c70ac184eaca3584ee234b90ad9a1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 16 Jul 2013 14:43:36 -0700 Subject: [PATCH 105/385] featurizer options --- BIDMach.jar | Bin 144661 -> 146625 bytes src/main/scala/BIDMach/Featurizer.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 7afef0b94e04abb8ed167c07cbf1bd154ecefe13..fb48a31b7c4c0968be39a86c3b5c78580eab3bbe 100755 GIT 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zeOK!%miH9C_Xe_kZfY$_5pRQ{^909wx71Fqvx~)$(BbeWl2vv&5>CC%lqy!NG*Heq6KS9HI~~f>N0iruw+~3 z0SOf+o|Lg*uZqO`wZd?vD5;ny9@7-%S>?y|ZvFIxI zo4WJ|=Lz&->_u2}P0O{pROGH{5Wb?}9TgHpKVt#$1@^jEv z^wswc)Ty0_NN7dVN&qY1^d^79^VcnRS+gsA?ET>KC$*s%8RC?B7Lr&o$Jtg{tBM!A z*GwcYUAk;El`~*IZ8}WT-pFYmiUs*j5^Q6Lh`p=uK{PD~zY$%Fl|6iwwlA14N3c%9 zUgzI)->+;P^l}2cJ+&+&XRJ=7TEK3Sf3A%$5<1A+phd|?6;}#Y`)N`_RM1`5Gyk6496xm7*vE5kyCudmrn zv5VnwE$N}YJ4E0)=d!-)0@Ypiyyc6y2y`n&r$Z0m^vDsofwB`kuPm;ZwJgbs2*FH? zxVL;AL>Y7=Ci+t9|r3dO3^dl-FPJg-K}7RLfozq=1S{2=?2Wn$YV{++tRx`D5-Cp_95VGBveu**TZ zsr@AFcmpOFo~gP`rbZ-gDRX6vWuCVsNYuC&W<_BtiSZ!T{PgrOsLgn(EN}2sC1B9- zCqXVDe+iDDd$dbM3dZz~)(iprJgq(ZbgJb%Eb7w@TeA(3{|C5j{|C$KY_1V=&FUY? zIqZwP@02K{M22`sirnQz)={~1yPDK?$hpp;_zz+~>W8l5qh@0G!po!(>p_Qdr=hRsW8Fe@7}?{u@Dt_Hq4Z|Nb`bJQo;$ zUE>44dA#3dJOrrDYXBN(*NY{?<$DkuQ!E((OdY<= 0) { - if (tok == isstart) { - active = true - istatus += 1 - } else if (tok == itstart && active) { - intext = true - } else if (tok == itend || tok == ioverrun) { - intext = false - } else if (tok == isend) { - intext = false - active = false - } else { - if (intext) { - val tok1 = idata.data(i-1)-1 - if (tok1 >= 0) { - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - nbi += 1 - val tok2 = idata.data(i-2)-1 - if (tok2 >= 0) { - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - ntri += 1 + trait Scanner { + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int) + } + + object TwitterScanner extends Scanner { + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int) = { + val isstart = dict(opts.startItem) + val isend = dict(opts.endItem) + val itstart = dict(opts.startText) + val itend = dict(opts.endText) + val ioverrun = dict(opts.overrun) + var active = false + var intext = false + var istatus = -1 + var nbi = 0 + var ntri = 0 + var len = idata.length + var i = 0 + while (i < len) { + val tok = idata.data(i)-1 + if (tok >= 0) { + if (tok == isstart) { + active = true + istatus += 1 + } else if (tok == itstart && active) { + intext = true + } else if (tok == itend || tok == ioverrun) { + intext = false + } else if (tok == isend) { + intext = false + active = false + } else { + if (intext) { + val tok1 = idata.data(i-1)-1 + if (tok1 >= 0) { + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + nbi += 1 + val tok2 = idata.data(i-2)-1 + if (tok2 >= 0) { + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + ntri += 1 + } } } } } } } + i += 1 } - i += 1 + (nbi, ntri) } - (nbi, ntri) } - def gramDicts(scanner:(Featurizer.Options, Dict, IMat, IMat, IMat)=>(Int, Int)=twitterScanner) = { + def gramDicts(scanner:Scanner=TwitterScanner) = { val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) for (ithread <- 0 until nthreads) { Actor.actor { @@ -187,7 +193,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) if (fileExists(fn)) { val idata = loadIMat(fn) - val (nbi, ntri) = scanner(opts, dict, idata, bigramsx, trigramsx) + val (nbi, ntri) = scanner.scan(opts, dict, idata, bigramsx, trigramsx) val bigrams = bigramsx(0->nbi, ?) val bid = IDict.dictFromData(bigrams) val trigrams = trigramsx(0->ntri, ?) 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gL>+KUEU%B!kgvJeU|_bdA0d)g4J+)|gk-S)1Jx!hO#lD@ diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index d6d71d2c..2f6f6510 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -70,17 +70,17 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fd = new File(opts.fromDayDir(d) + wcountname) if (fd.exists) { val dict = Dict(HMat.loadBMat(opts.fromDayDir(d) + opts.localDict)) // Load token dictionary for this day - val bb = HMat.loadIMat(opts.fromDayDir(d) + dictname) // Load IDict info for this day - val cc = HMat.loadDMat(opts.fromDayDir(d) + wcountname) + val bb = loadIMat(opts.fromDayDir(d) + dictname) // Load IDict info for this day + val cc = loadDMat(opts.fromDayDir(d) + wcountname) val map = dict --> mdict // Map from this days tokens to month dictionary val bm = map(bb) // Map the ngrams val igood = find(min(bm, 2) >= 0) // Find the good ones val bg = bm(igood,?) val cg = cc(igood) val ip = icol(0->igood.length) - IDict.sortlex2or3cols(bg, ip) // lex sort them + IDict.sortlexInds(bg, ip) // lex sort them IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) // accumulate them - print("-") + print(".") } if (day == 31) { // On the last day, save the accumulated results val dx = IDict.treeFlush(dd) @@ -88,6 +88,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) } + println("") } } if (day == 31) { // Unconditionally accumulate monthly dicts @@ -101,7 +102,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bg = bm(igood,?) val cg = cc(igood) val ip = icol(0->igood.length) - IDict.sortlex2or3cols(bg, ip) + IDict.sortlexInds(bg, ip) IDict.treeAdd(IDict(bg, cg(ip), 4*opts.threshold), md) } } @@ -116,19 +117,23 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } trait Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int) + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) } object TwitterScanner extends Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int) = { - val isstart = dict(opts.startItem) - val isend = dict(opts.endItem) - val itstart = dict(opts.startText) - val itend = dict(opts.endText) - val ioverrun = dict(opts.overrun) - var active = false + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) = { + val isstart = dict("") + val isend = dict("") + val irstart = dict("") + val irend = dict("") + val itstart = dict("") + val itend = dict("") + val ioverrun = dict("") + var instatus = false var intext = false + var inretweet = false var istatus = -1 + var nuni = 0 var nbi = 0 var ntri = 0 var len = idata.length @@ -137,22 +142,33 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val tok = idata.data(i)-1 if (tok >= 0) { if (tok == isstart) { - active = true + instatus = true istatus += 1 - } else if (tok == itstart && active) { + } else if (tok == itstart && instatus) { intext = true } else if (tok == itend || tok == ioverrun) { intext = false } else if (tok == isend) { intext = false - active = false + instatus = false + inretweet = false + } else if (tok == irstart) { + inretweet = true + } else if (tok == irend) { + inretweet = false } else { if (intext) { + if (unigramsx != null) { + unigramsx(nuni, 0) = tok + unigramsx(nuni, 1) = istatus + nuni += 1 + } val tok1 = idata.data(i-1)-1 if (tok1 >= 0) { if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok + bigramsx(nbi, 2) = istatus nbi += 1 val tok2 = idata.data(i-2)-1 if (tok2 >= 0) { @@ -160,6 +176,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { trigramsx(ntri, 0) = tok2 trigramsx(ntri, 1) = tok1 trigramsx(ntri, 2) = tok + trigramsx(ntri, 3) = istatus ntri += 1 } } @@ -170,7 +187,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } i += 1 } - (nbi, ntri) + (nuni, nbi, ntri) } } @@ -179,8 +196,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { for (ithread <- 0 until nthreads) { Actor.actor { if (Mat.hasCUDA > 0) setGPU(ithread) - val bigramsx = IMat(opts.guessSize, 2) - val trigramsx = IMat(opts.guessSize, 3) + val bigramsx = IMat(opts.guessSize, 3) + val trigramsx = IMat(opts.guessSize, 4) val bdicts = new Array[IDict](5) val tdicts = new Array[IDict](5) @@ -193,10 +210,10 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) if (fileExists(fn)) { val idata = loadIMat(fn) - val (nbi, ntri) = scanner.scan(opts, dict, idata, bigramsx, trigramsx) - val bigrams = bigramsx(0->nbi, ?) + val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, null, bigramsx, trigramsx) + val bigrams = bigramsx(0->nbi, 0->2) val bid = IDict.dictFromData(bigrams) - val trigrams = trigramsx(0->ntri, ?) + val trigrams = trigramsx(0->ntri, 0->3) val trid = IDict.dictFromData(trigrams) IDict.treeAdd(bid, bdicts) IDict.treeAdd(trid, tdicts) @@ -215,6 +232,70 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } } + def mkUniFeats(map:IMat, gramsx:IMat, ng:Int):IMat = { + val unis = map(gramsx(0->ng, 0)) + val igood = find(unis >= 0) + val gg = unis(igood) + val ggn = gramsx(igood, 1) + val feats = ggn \ gg + IDict.sortlex(feats) + val (outr, ix, dmy) = IDict.uniquerows(feats) + val fcounts = (ix(1->ix.length) on ix.length) - ix + outr \ fcounts + } + + def mkGramFeats(map:IMat, gramsx:IMat, ng:Int, alldict:IDict):IMat = { + val grams = map(gramsx(0->ng, 0->(gramsx.ncols-1))) + val igood = find(min(grams, 2) >= 0) + val gg = grams(igood,?) + val ggn = gramsx(igood, gramsx.ncols-1) + val gmap = IDict(gg) --> alldict + val feats = ggn \ gmap + IDict.sortlex(feats) + val (outr, ix, dmy) = IDict.uniquerows(feats) + val fcounts = (ix(1->ix.length) on ix.length) - ix + outr \ fcounts + } + + def featurize(scanner:Scanner=TwitterScanner) = { + val alldict = Dict(HMat.loadBMat(opts.mainDict)) + val allbdict = IDict(HMat.loadIMat(opts.fromDir + opts.biDict)) + val alltdict = IDict(HMat.loadIMat(opts.fromDir + opts.triDict)) + val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) + for (ithread <- 0 until nthreads) { + Actor.actor { + if (Mat.hasCUDA > 0) setGPU(ithread) + val unigramsx = IMat(opts.guessSize, 2) + val bigramsx = IMat(opts.guessSize, 3) + val trigramsx = IMat(opts.guessSize, 4) + + for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { + val ftridict = opts.fromDayDir(idir)+opts.triDict + if (fileExists(ftridict)) { + val dict = Dict(loadBMat(opts.fromDayDir(idir)+opts.localDict)) + val map = dict --> alldict + for (ifile <- 0 until 24) { + val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) + if (fileExists(fn)) { + val idata = loadIMat(fn) + val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) + val unifeats = mkUniFeats(map, unigramsx, nuni) + val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) + val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) + val fd = new File(opts.toDayDir(idir)) + if (!fd.exists) fd.mkdirs + saveIMat(opts.toDayDir(idir) + "unifeats.bin", unifeats) + saveIMat(opts.toDayDir(idir) + "bifeats.bin", bifeats) + saveIMat(opts.toDayDir(idir) + "trifeats.bin", trifeats) + } + } + print(".") + } + } + } + } + } + def fileExists(fname:String) = { val testme = new File(fname) testme.exists @@ -247,23 +328,22 @@ object Featurizer { } class Options { - var fromDayDir:(Int)=>String = dirxMap("/disk%02d/twitter/tokenized/%04d/%02d/%02d/") - var fromDir = "/big/twitter/tokenized/" + var tokDirName = ()=>"twitter/tokenized/" + var featDirName = ()=>"twitter/featurized/" + var fromDir = "/big/" + tokDirName + var fromYearDir:(Int)=>String = dirMap(fromDir + "%04d/") var fromMonthDir:(Int)=>String = dirMap(fromDir + "%04d/%02d/") - var fromYearDir:(Int)=>String = dirMap(fromDir + "%04d/") - var toDayDir:(Int)=>String = dirMap("/disk%02d/twitter/featurized/%04d/%02d/%02d/") + var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") + var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) var localDict:String = "dict.gz" + var biDict:String = "bdict.lz4" + var triDict:String = "tdict.lz4" + var mainDict:String = "/big/" + tokDirName + "alldict.gz" + var mainCounts:String = "/big/" + tokDirName + "allwcount.gz" var nstart:Int = encodeDate(2011,11,22) - var nend:Int = encodeDate(2013,3,3) - var startItem:String = "" - var endItem:String = "" - var startText:String = "" - var endText:String = "" - var overrun:String = "" - var mainDict:String = "/big/twitter/tokenized/alldict.gz" - var mainCounts:String = "/big/twitter/tokenized/allwcount.gz" + var nend:Int = encodeDate(2013,4,1) var threshold = 10 var guessSize = 100000000 var nthreads = 2 From 5f7442ba25314b4332514343834e0b424581477c Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 17:04:45 -0700 Subject: [PATCH 109/385] updates to Featurizer --- BIDMach.jar | Bin 156529 -> 156608 bytes src/main/scala/BIDMach/Featurizer.scala | 12 ++++++------ 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 1776ab4259b061aca89f826827490cf7bfb7fadf..6a00c6132fcb0599ef025cbf414b201c5a53f31e 100755 GIT binary patch delta 13400 zcmY*=Wl$c$(k{HX2X}XOf&@r#2_D?t-F1UI1buOWySoH;cXubaYv3m5-22sc_s2dx z-Tm}#ZEa1@RQFsBAao5PAS=p3L1RI{!^1-)hQ%T4gA&91Z5wPM!@~bcO%LIae9(Ud 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E0GFR{H~;_u diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 2f6f6510..f2fba3d8 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -49,7 +49,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { dyy } - def mergeDailyIDicts(rebuild:Boolean,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { + def mergeDailyIDicts(rebuild:Boolean=true,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { val alldict = Dict(HMat.loadBMat(opts.mainDict)) val dd = new Array[IDict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 @@ -330,18 +330,18 @@ object Featurizer { class Options { var tokDirName = ()=>"twitter/tokenized/" var featDirName = ()=>"twitter/featurized/" - var fromDir = "/big/" + tokDirName + var fromDir = "/big/" + tokDirName() var fromYearDir:(Int)=>String = dirMap(fromDir + "%04d/") var fromMonthDir:(Int)=>String = dirMap(fromDir + "%04d/%02d/") - var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") - var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") + var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName() + "%04d/%02d/%02d/") + var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName() + "%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) var localDict:String = "dict.gz" var biDict:String = "bdict.lz4" var triDict:String = "tdict.lz4" - var mainDict:String = "/big/" + tokDirName + "alldict.gz" - var mainCounts:String = "/big/" + tokDirName + "allwcount.gz" + var mainDict:String = "/big/" + tokDirName() + "alldict.gz" + var mainCounts:String = "/big/" + tokDirName() + "allwcount.gz" var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,4,1) var threshold = 10 From 19a6b9dc8cc142c348efd1e0b3d97d78a2540624 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 17:32:51 -0700 Subject: [PATCH 110/385] updates to Featurizer --- BIDMach.jar | Bin 156608 -> 157288 bytes src/main/scala/BIDMach/Featurizer.scala | 153 ++++++++++++------------ 2 files changed, 77 insertions(+), 76 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 6a00c6132fcb0599ef025cbf414b201c5a53f31e..7edfa4abca990f104425f9c1df3f346076006fe5 100755 GIT binary patch delta 33065 zcmZ^~Q+TG~(yiM`2OZn$*tTukwrzZ|ZL4G3))zY++qSiP{&QokbzS@HJ*dOCMvdnl zReeCHlSwF81?it)s6T%F`t{=~Dgjm>^eQUAw%HaWJmTM1+H(X5AK=^_MHKa0HWRWF z?9E>Vh61{PjFPlO6j5oGk2SqXVBWxI*MwQJ#l~%)&&j_RT2U#P*ylbd@56g>|909; z8!9G_*WB%Da^t=8`h6mgpARyAkQbua#qS;Bw zm7Y1Kba5r@u4*NrCIHXye4`9{eU8?-vu>o%j)6oS+M2Ycxe-82nzYe0Sz=Cx)1kY! zX+jq&>?neyoG)M+&MLcwGzK18z6XDOTh%|M)^f4du{zEy;?Zi&V<1rkeX4j36f281 z40Mpzwq758B#A&5zd6`XA7BJe;+SU8Ta>Lobv+xXx#@@w0jwcndv=WIa>+<-`iV54 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zCg{opzyio72a%Zq!~xNaAPZB#7l>yTKq4yvK4{1kzyPts1xQp1!~-FjeIy3?0V#Um d*f@TQvQQsPE-*0Hk9nOE3~XBHgOmjJ{{ah5*3JL` diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index f2fba3d8..26fe9a6d 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -70,7 +70,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fd = new File(opts.fromDayDir(d) + wcountname) if (fd.exists) { val dict = Dict(HMat.loadBMat(opts.fromDayDir(d) + opts.localDict)) // Load token dictionary for this day - val bb = loadIMat(opts.fromDayDir(d) + dictname) // Load IDict info for this day + val bb = loadIMat(opts.fromDayDir(d) + dictname) // Load IDict info for this day val cc = loadDMat(opts.fromDayDir(d) + wcountname) val map = dict --> mdict // Map from this days tokens to month dictionary val bm = map(bb) // Map the ngrams @@ -116,81 +116,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { dyy } - trait Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) - } - - object TwitterScanner extends Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) = { - val isstart = dict("") - val isend = dict("") - val irstart = dict("") - val irend = dict("") - val itstart = dict("") - val itend = dict("") - val ioverrun = dict("") - var instatus = false - var intext = false - var inretweet = false - var istatus = -1 - var nuni = 0 - var nbi = 0 - var ntri = 0 - var len = idata.length - var i = 0 - while (i < len) { - val tok = idata.data(i)-1 - if (tok >= 0) { - if (tok == isstart) { - instatus = true - istatus += 1 - } else if (tok == itstart && instatus) { - intext = true - } else if (tok == itend || tok == ioverrun) { - intext = false - } else if (tok == isend) { - intext = false - instatus = false - inretweet = false - } else if (tok == irstart) { - inretweet = true - } else if (tok == irend) { - inretweet = false - } else { - if (intext) { - if (unigramsx != null) { - unigramsx(nuni, 0) = tok - unigramsx(nuni, 1) = istatus - nuni += 1 - } - val tok1 = idata.data(i-1)-1 - if (tok1 >= 0) { - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - bigramsx(nbi, 2) = istatus - nbi += 1 - val tok2 = idata.data(i-2)-1 - if (tok2 >= 0) { - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - trigramsx(ntri, 3) = istatus - ntri += 1 - } - } - } - } - } - } - } - i += 1 - } - (nuni, nbi, ntri) - } - } - + def gramDicts(scanner:Scanner=TwitterScanner) = { val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) for (ithread <- 0 until nthreads) { @@ -350,4 +276,79 @@ object Featurizer { } +} + +trait Scanner { + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) +} + +object TwitterScanner extends Scanner { + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) = { + val isstart = dict("") + val isend = dict("") + val irstart = dict("") + val irend = dict("") + val itstart = dict("") + val itend = dict("") + val ioverrun = dict("") + var instatus = false + var intext = false + var inretweet = false + var istatus = -1 + var nuni = 0 + var nbi = 0 + var ntri = 0 + var len = idata.length + var i = 0 + while (i < len) { + val tok = idata.data(i)-1 + if (tok >= 0) { + if (tok == isstart) { + instatus = true + istatus += 1 + } else if (tok == itstart && instatus) { + intext = true + } else if (tok == itend || tok == ioverrun) { + intext = false + } else if (tok == isend) { + intext = false + instatus = false + inretweet = false + } else if (tok == irstart) { + inretweet = true + } else if (tok == irend) { + inretweet = false + } else { + if (intext) { + if (unigramsx != null) { + unigramsx(nuni, 0) = tok + unigramsx(nuni, 1) = istatus + nuni += 1 + } + val tok1 = idata.data(i-1)-1 + if (tok1 >= 0) { + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + bigramsx(nbi, 2) = istatus + nbi += 1 + val tok2 = idata.data(i-2)-1 + if (tok2 >= 0) { + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + trigramsx(ntri, 3) = istatus + ntri += 1 + } + } + } + } + } + } + } + i += 1 + } + (nuni, nbi, ntri) + } } \ No newline at end of file From 04f0f3da41a848a7d6b41475f775ab1e87bf0984 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 18:02:12 -0700 Subject: [PATCH 111/385] fix idict merger --- BIDMach.jar | Bin 157288 -> 157484 bytes src/main/scala/BIDMach/Featurizer.scala | 25 +++++++++++++----------- 2 files changed, 14 insertions(+), 11 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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// lex sort them + IDict.sortlexInds(bg, ip) // lex sort them IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) // accumulate them print(".") } @@ -274,8 +279,6 @@ object Featurizer { var guessSize = 100000000 var nthreads = 2 } - - } trait Scanner { @@ -301,8 +304,8 @@ object TwitterScanner extends Scanner { var len = idata.length var i = 0 while (i < len) { - val tok = idata.data(i)-1 - if (tok >= 0) { + if (idata.data(i) > 0) { + val tok = idata.data(i)-1 if (tok == isstart) { instatus = true istatus += 1 @@ -325,15 +328,15 @@ object TwitterScanner extends Scanner { unigramsx(nuni, 1) = istatus nuni += 1 } - val tok1 = idata.data(i-1)-1 - if (tok1 >= 0) { + if (idata.data(i-1) > 0) { + val tok1 = idata.data(i-1)-1 if (tok1 != itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok bigramsx(nbi, 2) = istatus nbi += 1 - val tok2 = idata.data(i-2)-1 - if (tok2 >= 0) { + if (idata.data(i-2) > 0) { + val tok2 = idata.data(i-2)-1 if (tok2 != itstart) { trigramsx(ntri, 0) = tok2 trigramsx(ntri, 1) = tok1 From 4bf4340817dcb5286babd492a4e76c446970d6d5 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 18:05:33 -0700 Subject: [PATCH 112/385] fix idict merger --- BIDMach.jar | Bin 157484 -> 157498 bytes src/main/scala/BIDMach/Featurizer.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 22ff5604b263a35b52f9ae6ea84f5d54247da290..bca3962491b1936d1598fee7aaae49c6325dea3e 100755 GIT binary patch delta 7248 zcmZ9RWmHrF*S2R4-92=tbazR2BS?41&>^5ObV=7xQi61Mw@8Pygp`Oh2udjL=(E0O zz3+Ga?6voO-+Q06&aZ2o>S>J5X$&kKbtGhB5IQr^e5yFQyHQAco1EoJ!H%5^39s&|z(cLm13 zJ5z`VE`Ilt?Nvlm&l z@Q}?SHMAgCRrMxWea64Rnk|Q5ln+RA5#mH#Thv9%Qb*Vy_2hFeiY$n#jvX3Y*GuCs zzoqBmFArFd^;kH<_+_Je;Dv$0e@VY;9UY#0hCOO)5}`9EmZ60;Kr?r@8(O%vI=t@J za30L^u8Lk0n(ljQ1jDOHcxp%sJx){v?&xekMh9)TOM`8V!k>ojnrX4AoyQ1aJ||oF zDsl)p(>i&jk4Aqbi&@H>p`|aDK=7Ul-8sSZ?x#!dil3`&%s0H~!9b`=|I}2NDJ?FV zkfAmRg1YDg1)ABh7OGee_bY~m26Q2V`y^{Tr`X@tzWSG2!ruHS|2^oS$Pyy3cXTEG 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z@*EBA@&63XKL)}*noxh{`t5;F(dXHKZ~!|H1SfO=a-$DE0m6Sg0aC&te|G|cz|^NS oAb6$&kO!Sw444W*dF%S$&2MR7h6R8U&f*9p!NQhDy$0I<0g01hLI3~& diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 92236a6f..867292ae 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -79,7 +79,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bm = map(bb2) // Map the ngrams val cc2 = cc(ig,0) // Done kludge - val igood = find(min(bm, 2) >= 0) // Find the good ones + val igood = find(mini(bm, 2) >= 0) // Find the good ones val bg = bm(igood,?) val cg = cc2(igood) val ip = icol(0->igood.length) From 203bf0fc4bb4ec5c468b9f24bbca019c80f0a29b Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 18:09:59 -0700 Subject: [PATCH 113/385] fix idict merger --- BIDMach.jar | Bin 157498 -> 157454 bytes src/main/scala/BIDMach/Featurizer.scala | 6 +++--- 2 files changed, 3 insertions(+), 3 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val bm = map(bb) // Map to global token dictionary - val igood = find(min(bm, 2) >= 0) // Save the good stuff + val igood = find(mini(bm, 2) >= 0) // Save the good stuff val bg = bm(igood,?) val cg = cc(igood) val ip = icol(0->igood.length) @@ -177,7 +177,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { def mkGramFeats(map:IMat, gramsx:IMat, ng:Int, alldict:IDict):IMat = { val grams = map(gramsx(0->ng, 0->(gramsx.ncols-1))) - val igood = find(min(grams, 2) >= 0) + val igood = find(mini(grams, 2) >= 0) val gg = grams(igood,?) val ggn = gramsx(igood, gramsx.ncols-1) val gmap = IDict(gg) --> alldict From 35cf797385c8c85981fad65425d8cecbe17fc02e Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 18:12:27 -0700 Subject: [PATCH 114/385] fix idict merger --- BIDMach.jar | Bin 157454 -> 157618 bytes src/main/scala/BIDMach/Featurizer.scala | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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+++ b/src/main/scala/BIDMach/Featurizer.scala @@ -8,7 +8,7 @@ import java.io._ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { - def mergeDailyDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { + def mergeDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { val dd = new Array[Dict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 val md = new Array[Dict]((math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) @@ -49,7 +49,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { dyy } - def mergeDailyIDicts(rebuild:Boolean=true,dictname:String="bdict.lz4",wcountname:String="bcnts.lz4"):IDict = { + def mergeIDicts(rebuild:Boolean=false, dictname:String="bdict.lz4", wcountname:String="bcnts.lz4"):IDict = { val alldict = Dict(HMat.loadBMat(opts.mainDict)) val dd = new Array[IDict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 @@ -93,7 +93,6 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) } - println("%04d-%02d" format (year,month)) } } if (day == 31) { // Unconditionally accumulate monthly dicts @@ -109,6 +108,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val ip = icol(0->igood.length) IDict.sortlexInds(bg, ip) IDict.treeAdd(IDict(bg, cg(ip), 4*opts.threshold), md) + println("%04d-%02d" format (year,month)) } } } @@ -122,7 +122,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } - def gramDicts(scanner:Scanner=TwitterScanner) = { + def mkIDicts(scanner:Scanner=TwitterScanner) = { val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) for (ithread <- 0 until nthreads) { Actor.actor { From d0c7e76f835669a5684e744f9625c05dc3c37b62 Mon 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zD1tu-E~5bHU9JEveFrGy-96_AOKB%dO!>Sx%6o>YqAR< x4c$2nfP?b1#YJ5KDZpJ3G| diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 8f0798a2..c9d82657 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -11,7 +11,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { def mergeDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { val dd = new Array[Dict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 - val md = new Array[Dict]((math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) + val md = new Array[Dict](1+(math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) for (d <- opts.nstart to opts.nend) { val (year, month, day) = Featurizer.decodeDate(d) val fm = new File(opts.fromMonthDir(d) + wcountname) @@ -21,7 +21,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bb = HMat.loadBMat(opts.fromDayDir(d) + dictname) val cc = HMat.loadIMat(opts.fromDayDir(d) + wcountname) Dict.treeAdd(Dict(bb, cc, opts.threshold), dd) - print("+") + print(".") } if (day == 31) { val dx = Dict.treeFlush(dd) @@ -37,6 +37,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bb = HMat.loadBMat(opts.fromMonthDir(d) + dictname) val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) Dict.treeAdd(Dict(bb, cc, 4*opts.threshold), md) + println("%04d-%02d" format (year,month)) } } } @@ -53,7 +54,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val alldict = Dict(HMat.loadBMat(opts.mainDict)) val dd = new Array[IDict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 - val md = new Array[IDict]((math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) + val md = new Array[IDict](1+(math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) var dy:IDict = null var mdict:Dict = null var domonth:Boolean = false From 34e01175a63bf53f1668a6c88fe9797317f6fc65 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 17 Jul 2013 22:36:58 -0700 Subject: [PATCH 117/385] fix mergeIDicts fencepost --- BIDMach.jar | Bin 157710 -> 157840 bytes src/main/scala/BIDMach/Featurizer.scala | 16 +++++++++++----- 2 files changed, 11 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 34d6617dd183fae1658894e97b2bda722c23fe5c..d99ac8b5863093a54678dbcef3b76b30f7f321cb 100755 GIT binary patch delta 35721 zcmZ6yQ)6Xaw5}Vgf{Jb1X2rHyv2D({V%xTD+jhmqjIC4OIv0Dd-ET(!1LJwoT9287 zjhlysSCj#VKm&n+fdL6@iibA<3v3FoZMFps3;%aZeGUf|0-$K1eIbHUuokpaSr)dm zL{R@EC9l^e-#FedB32^S^lJRG2ZH(sn`f$S$-vZB#zxO}=WVX^tDpwRDyxj_Wmvtp z_4M_$z0>pYb)wJtCQjuL6SA8mz|kq=%mJpFzH~=EK8<> z9(oh1ms+5=2f*5@f+@9LThaGR4ESp%S#`o0scUcgB`!_YW~zfQE4_qJI>sAb6*!Jn 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Date: Thu, 18 Jul 2013 10:54:10 -0700 Subject: [PATCH 118/385] fixes to featurize --- BIDMach.jar | Bin 157840 -> 158752 bytes src/main/scala/BIDMach/Featurizer.scala | 60 +++++++++++++----------- 2 files changed, 32 insertions(+), 28 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index d99ac8b5863093a54678dbcef3b76b30f7f321cb..0a19516bbee2fd5a48ddc2b9fefac520bd41baba 100755 GIT binary patch delta 24312 zcmZ^~WpLg~x27F4J!a;ZnHghdX2zJA*@~H&Ic8?Yn3)|jGc(4JO!j`yOr1I3H~Q17 zR!d!_k}lnMFLlSy!F^wWLsXK5fW-I&3k&CGhVh>c_e8Kjz{?X~6ZMaP_LI)JJo<=RB)$|rt)8|5 zZT4&;FG*AErN)pX9x(-6Q&n+ucYPCGQHoQ)vd-rw#Am|q8x+~a@^(DsB)hixN;=ab z*G;=UzmJFo{T(zL%(U;0Yvtd?ue&q6*zV2!*{&}||8)Mr_{RAzDMVP;c$z+EM+pkx z05(IfzAhY*kojp-mQc9{tP$1+TV+fu1XL(Z)O`ce2-6C1$?VP|jLC9X>};slXg=4V zGxHVXbbH(KH+-kT`N^=3H>J}z2hOn4BJ@+We6VjPRYioAlVGxFe7=xTRJb}6j~Wc} zJN!?`%PP|%sHcZ)8|)TUpN(jqJ_hhge&AA}C<&6aBFUR}MMEs^F3k1M*DMTd<;b=* zDR^k^@6Gl|UOT zK8K|i#l2fZ@0E)mIaDo58-Fc_mV!-&G#ERd2m=%M@H&THWPGG~6RfRIz79qcysb{g 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File(opts.toDayDir(idir)) if (!fd.exists) fd.mkdirs - saveIMat(opts.toDayDir(idir) + "unifeats.bin", unifeats) - saveIMat(opts.toDayDir(idir) + "bifeats.bin", bifeats) - saveIMat(opts.toDayDir(idir) + "trifeats.bin", trifeats) + saveIMat(opts.toDayDir(idir) + opts.toUniFeats(ifile), unifeats) + saveIMat(opts.toDayDir(idir) + opts.toBiFeats(ifile), bifeats) + saveIMat(opts.toDayDir(idir) + opts.toTriFeats(ifile), trifeats) } } print(".") @@ -266,20 +266,24 @@ object Featurizer { } class Options { - var tokDirName = ()=>"twitter/tokenized/" - var featDirName = ()=>"twitter/featurized/" - var fromDir = "/big/" + tokDirName() - var fromYearDir:(Int)=>String = dirMap(fromDir + "%04d/") - var fromMonthDir:(Int)=>String = dirMap(fromDir + "%04d/%02d/") - var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName() + "%04d/%02d/%02d/") - var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName() + "%04d/%02d/%02d/") + var tokDirName = "twitter/tokenized/" + var featDirName = "twitter/featurized/" + var mainDir = "/big/" + tokDirName + var mainDict:String = "/big/" + tokDirName + "alldict.gz" + var mainCounts:String = "/big/" + tokDirName + "allwcount.gz" + var fromYearDir:(Int)=>String = dirMap(mainDir + "%04d/") + var fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") + var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") + var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) - var toFile:(Int)=>String = (n:Int) => ("tweet%02d.txt" format n) + var toUniFeats:(Int)=>String = (n:Int) => ("unifeats%02d.bin" format n) + var toBiFeats:(Int)=>String = (n:Int) => ("bifeats%02d.bin" format n) + var toTriFeats:(Int)=>String = (n:Int) => ("trifeats%02d.bin" format n) var localDict:String = "dict.gz" var biDict:String = "bdict.lz4" var triDict:String = "tdict.lz4" - var mainDict:String = "/big/" + tokDirName() + "alldict.gz" - var mainCounts:String = "/big/" + tokDirName() + "allwcount.gz" + var biCnts:String = "bcnts.lz4" + var triCnts:String = "tcnts.lz4" var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,4,1) var threshold = 10 From 7a652c7640da3ced158f93df3b167c9ef08b8701 Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 11:00:26 -0700 Subject: [PATCH 119/385] fixes to featurize --- BIDMach.jar | Bin 158752 -> 159028 bytes src/main/scala/BIDMach/Featurizer.scala | 15 ++++++++------- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 0a19516bbee2fd5a48ddc2b9fefac520bd41baba..812045bd6e962a8e2d24229f8bb3e357bcdd5c79 100755 GIT binary patch delta 29232 zcmZ^~Q*>o*x2|2WZQHhO+qP}aie~JJZ5tKawry9OR8ZOVzH9BjeQULUkCWMt=D}#~ z>i6~Zr;q$KnC1-_cx5>-aP)7`(9qwYwG-iuK%upR99kSeA|n4*X)lo=!T>Z4^goK3 za#qlfpcR0Ppwjc|xC{#Npxaw(Ixy3ig*k$a*F|TrTdxqe{!O z(wiOAbm@{R_WC(B38Q#d~GXl1|UlVcY%~hqP;xgOH6}HSDqNCD}}V 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z|3Jm8U!c?^e=?b3#tKW|$y{)&OZhKM#b*1|Sa0 zBLIl!ASHny+5pfYnKl3lSkkwEc;E{WXVwP54ErnzfN)3y2q6@<04xM#8Nf@`{vWhk B&S?Mu diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index bab37bda..c0b53c7c 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -139,7 +139,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bdicts = new Array[IDict](5) val tdicts = new Array[IDict](5) - for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { + for (idir <- (opts.nstart+ithread) to opts.nend by nthreads) { val fname = opts.fromDayDir(idir)+opts.localDict val fnew = opts.fromDayDir(idir)+opts.triCnts if (fileExists(fname) && !fileExists(fnew)) { @@ -195,7 +195,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { outr \ fcounts } - def featurize(scanner:Scanner=TwitterScanner) = { + def featurize(scanner:Scanner=TwitterScanner, rebuild:Boolean=false) = { val alldict = Dict(HMat.loadBMat(opts.mainDict)) val allbdict = IDict(HMat.loadIMat(opts.mainDir + opts.biDict)) val alltdict = IDict(HMat.loadIMat(opts.mainDir + opts.triDict)) @@ -207,21 +207,22 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bigramsx = IMat(opts.guessSize, 3) val trigramsx = IMat(opts.guessSize, 4) - for (idir <- (opts.nstart+ithread) until opts.nend by nthreads) { + for (idir <- (opts.nstart+ithread) to opts.nend by nthreads) { val fdict = opts.fromDayDir(idir)+opts.localDict if (fileExists(fdict)) { val dict = Dict(loadBMat(fdict)) val map = dict --> alldict + val fd = new File(opts.toDayDir(idir)) + if (!fd.exists) fd.mkdirs for (ifile <- 0 until 24) { val fn = opts.fromDayDir(idir)+opts.fromFile(ifile) - if (fileExists(fn)) { + val fx = opts.toDayDir(idir)+opts.toTriFeats(ifile) + if (fileExists(fn) && (rebuild || !fileExists(fx))) { val idata = loadIMat(fn) val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) val unifeats = mkUniFeats(map, unigramsx, nuni) val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) - val fd = new File(opts.toDayDir(idir)) - if (!fd.exists) fd.mkdirs saveIMat(opts.toDayDir(idir) + opts.toUniFeats(ifile), unifeats) saveIMat(opts.toDayDir(idir) + opts.toBiFeats(ifile), bifeats) saveIMat(opts.toDayDir(idir) + opts.toTriFeats(ifile), trifeats) @@ -285,7 +286,7 @@ object Featurizer { var biCnts:String = "bcnts.lz4" var triCnts:String = "tcnts.lz4" var nstart:Int = encodeDate(2011,11,22) - var nend:Int = encodeDate(2013,4,1) + var nend:Int = encodeDate(2013,3,31) var threshold = 10 var guessSize = 100000000 var nthreads = 2 From b33b568485f74cf88fd69b231a792caf53be6f1e Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 11:15:56 -0700 Subject: [PATCH 120/385] fixes to featurize --- BIDMach.jar | Bin 159028 -> 159260 bytes src/main/scala/BIDMach/Featurizer.scala | 12 ++++++++---- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 812045bd6e962a8e2d24229f8bb3e357bcdd5c79..9324ca7fc193ccb5cf604404b9576a9da75cef65 100755 GIT binary patch delta 39175 zcmZ7dQ)4Ae+l7n9M#omiwrwXJb!^+ljBVRCXKdTHZKIR*y!&MBZ=F^BfV#%0agV!s z12%gL7U7R9I0QNf3=9m&hh_qTKG=t5fNhH{Xn4ebr?l4yPzeA$Yt90Ev6hf947)Tn zGksuu;7etHF=QgtA)+D$<#}@Z(6}7tUDYpkam|A)WP$f6of}qZT9W(37K&5gYwPRx z%kirqzz>!Y==p?6|mEEc#KyM1>pw(Strl`=NsASa5>3<;+i zsxf$yDn-XUh5q6hW-e#P$x1%Ueq|O*GN4WW$Slg2p%~*O$UIp@95{}kpswXf|6!5?y?NCQ1=FKsww9h z&*}L_?6ZlU38(IxJg5QOtv*FwrEclFY7P))WGcuJZ=YgMj~z8d3*EcMe(9b+`tfrk zJOb>LF%WNmQ|~JylzAz1^jzblj#YEViGAkUr=9;A1RK8GWIt6}AK%P9@`BLO8~n{s z)fS8}CxZ>G@IF4VLA>3bt9FLltj#1 zNqObFL?F&!+&TbiS$n7SLX*?8lRkVjBUghOJ7olIToeHcQ7>eQ^@=o@n;XUwdv*-7 zfL+es_(`z`vej@*Usb7R^v%8BPYZPk@B=8S+x857J7-X^W&95PfX}XAaC409fq$AN zBG&B^J3aNdwMyr}I-(HC@@$U~82mgZa;S;Izb@?EGjpXQ^ow0qX2*|%uqGo+vBt_0 z++X~a+auJ_;o;BQn|S=o?EHu89ifzDl)_;C17}+omhWnh;Re#r{f|h-mx3WdXEOkP 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(ix(1->ix.length, 0) on ix.length) - ix outr \ fcounts } @@ -195,7 +195,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val feats = ggn \ gmap IDict.sortlex(feats) val (outr, ix, dmy) = IDict.uniquerows(feats) - val fcounts = (ix(1->ix.length) on ix.length) - ix + val fcounts = (ix(1->ix.length, 0) on ix.length) - ix outr \ fcounts } From b297fff033bfa83307ccb8b1eef52eb0cbc652ac Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 11:41:40 -0700 Subject: [PATCH 122/385] compiled against new BIDMat --- BIDMach.jar | Bin 159262 -> 159262 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 4bed05a0471ecdc2fa3760cd6ef135ed0a0179e0..28f55f33ba3efa7a3ed0018ced4cce2ae1f45fb1 100755 GIT binary patch delta 2273 zcmZ8hdr*{B6!)GL7Fb>hsNbrYBdeC6NLE%O2|jRL7GZfVuUI!ZXnM5&GAP~ScGu2%o-`JLZ+eCKs{Z*TD4 z-r&#-n_*=1h@haL5wWh;P&X*9)~Z;8;u_LC)kHbbo=Lbu2_zuUk~b5D+6}8lB7NFe 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zu^4iM4K9IPVJl0ZMcBY4P$#Uh1WJYFzuCg(mBKt>-!GN@A1Ir#RQiXMHJ3r6$jc~` VuWDNv#0dXl8N_qTo+yVq Date: Thu, 18 Jul 2013 11:47:56 -0700 Subject: [PATCH 123/385] changed featurizer arg order --- src/main/scala/BIDMach/Featurizer.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 5e417876..fe179016 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -199,7 +199,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { outr \ fcounts } - def featurize(scanner:Scanner=TwitterScanner, rebuild:Boolean=false) = { + def featurize(rebuild:Boolean=false, scanner:Scanner=TwitterScanner) = { if (alldict == null) alldict = Dict(HMat.loadBMat(opts.mainDict)) if (allbdict == null) allbdict = IDict(HMat.loadIMat(opts.mainDir + opts.biDict)) if (alltdict == null) alltdict = IDict(HMat.loadIMat(opts.mainDir + opts.triDict)) From 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18 Jul 2013 13:57:21 -0700 Subject: [PATCH 125/385] tweaked featurizer --- BIDMach.jar | Bin 159257 -> 159846 bytes src/main/scala/BIDMach/Featurizer.scala | 44 ++++++++++++++---------- 2 files changed, 25 insertions(+), 19 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index e35767c4c2f9600f8539b80f144e16459c2e6471..0e1adeea5477c1857c7aaabf79cdf24a44ac459b 100755 GIT binary patch delta 26101 zcmZ^~V{oRyyX_s@b|$ttnP6huwr%H`=!u<)ZQGpKwr$(VJM%y1t-a4abv|`>-TmpV z`mJ?c-K$gAVGp-q5fr4sAuvE-U|>K9?c)&i!3gdBZ5wStL&N^glAppre*)0dF+P!Y zb|Wpo;u;jSwFfXlX9DarMArP8roL1L0Q8ZOG+4~+V0~FPt za4Ab+I%^gk?7RWqSN8gTUw6g&Ap6&`f(+VKm0`9UC%3SGfFo}Rj-XBNrptu%x=4j8f%La`FlTf6oacABu4{kANoxucvEgZRzkwTB*& zdY%MQ3^s0WIses?@*eZo5v6X_E@1(=PTJ1>wB#BGVJBJL*&^9Y`%xMuk4TNgO`F+< zmr5;M5m{>%hh2eE8O{UgfYH>)#FyajB! zpB7{Ml??6Dj({wH;U)oPt*=f3#L@0PeTz85& z5*?1_R@$1`v}vr7GS6geE7Lh7^9rZZ786$dvsf4q1w1#7I9LBJ3j;T4UlJU~E@u&& zkfK(q#!pt`2e5OYerBx>a?;>n&zy`>d(rAVTGnxH(w*Cj7MlXcwO1He$~nQJMJ`^y 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!fileExists(fx))) { + if (dict == null) { + dict = Dict(loadBMat(fdict)) + map = dict --> alldict + } val idata = loadIMat(fn) val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) val unifeats = mkUniFeats(map, unigramsx, nuni) val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) - saveIMat(opts.toDayDir(idir) + opts.toUniFeats(ifile), unifeats) - saveIMat(opts.toDayDir(idir) + opts.toBiFeats(ifile), bifeats) - saveIMat(opts.toDayDir(idir) + opts.toTriFeats(ifile), trifeats) + saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) + saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) + saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) } + print(".") } - print(".") } + if (ithread == 0 && day == 31) println("%04d-%02d" format (year,month)) } } } From 4162160eb2be9ebe680424e642b53f420e8d17ed Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 14:01:02 -0700 Subject: [PATCH 126/385] tweaked featurizer --- BIDMach.jar | Bin 159846 -> 159839 bytes src/main/scala/BIDMach/Featurizer.scala | 5 ++--- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 0e1adeea5477c1857c7aaabf79cdf24a44ac459b..9e3617db50d9163503529201acb80b72e1795130 100755 GIT binary patch delta 26964 zcmZsiQ*!t&CvV5LZQHhO+h)hy{e5eXz1RB3I+_Ph)j?H_ zYu?v`I@*EW-hl?lOML@J1%ZNs0>QJ31?Yj=`C2zxgNBBJ+9f}Qf{Fr(_RYW~*Gei? z7$FP_NL0#&*R?chNT|T2Y#$kL_4XKqg0Yfb%PXuyE6X1%5xmdn&(3)JNzigJmawO+ zuWheCF2}EdpYO>0@CaB5b%$$dD|2wY4E3Zf`)jW#`np%<8#@3o6&4|O=VSDKB`R%W zs47i3$~BaxsmQV#&o-d(6*?Q{ignO|hJOA)qsyahfl*v~(yG&>kx;W#NBV?_ov;XI zEJdC?CXr0MtFS{Tq0Yv>cNS~Q>R1w*s!C2*M(LsG~L_4K>z2_i7QiAS^!t=TffSi$F; zEmZ;ca8B1Na<6$%k3Vkz=tBAD)xuN2QOuU6n`SRoMxufg)fN{1^!R>V*ujlkEMdpq zA0Hl8_&-3KIc2nKBGTPCKyi@lTGiWdxA4J$P>-kcCm@)(2=mU6* zUzmuNiXF6ikRed0g{#RdgzPpm9ye;k{hdy%Hh`K+2{(SVOEPT3+Bx79@MqYLm^EwR zTNUd#!w3tSn##44mYB&<^6Kg1NDpL7Rg5o=QgrnjPA`n{(GQYYWVZebGw7G607qDY 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zCe_i1^zlO3oxrBP3utJAqlD*icxT|wuBUyXZ_M=3D+v6+vGDu&P zN(M~7cAtb#|8qSV#&>lD)4%`*jHpLlKt1kPACtei4MbGrN!+#pZ-rN%;gh) zSrjT1)M7IZ8&H(wtstf$2b6qs3d)oN4imvUUW)zwUj)S70;uwL;jfE5q|XBQ8Rc!^ zAM;lTl_fBN{4MftyEhG}e@`tL5Mx^)*TjGJB4iCDd)pVi zzp?P<|BapbvNxXFwfEw*Z(EG^w#Cf<;dy`<*#ZUs=K8nE3*mn-K5Ks| zaUm1`m+jxq7fk;_%0K{iK!N`` Date: Thu, 18 Jul 2013 14:21:38 -0700 Subject: [PATCH 127/385] compress featurized sets --- BIDMach.jar | Bin 159839 -> 159844 bytes src/main/scala/BIDMach/Featurizer.scala | 8 ++++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 9e3617db50d9163503529201acb80b72e1795130..99e4ec497906ce36486a57464d270de16b8a977d 100755 GIT binary patch delta 9037 zcmZvBWmp@^vv(5Qy|@&2inVxgFU8%R;;toVaF<}gic4v+;KiLn@fO!&#fw8$U&KoxGmjt!2$$f(C1{4xqC zfcUiGjt5Hpwed;@lAt|upo!VQcVPbj3N4}sro>JDRC5kglI^^0x(^)QL|-AATs`Ysuhb`6X)Io-GYdhhB=u2%Xj~ui~i$+mpMlw+iQQ8F9AVVSMZ=8_BODv&tuA@pc(K2=F*tZ zc3_VlRAGn3DBn$k)=IymRnJt-Vk$`7v=WwTzzeb1D+l%rWi-xE@8jYwAbB+o2(_H| 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toUniFeats:(Int)=>String = (n:Int) => ("unifeats%02d.lz4" format n) + var toBiFeats:(Int)=>String = (n:Int) => ("bifeats%02d.lz4" format n) + var toTriFeats:(Int)=>String = (n:Int) => ("trifeats%02d.lz4" format n) var localDict:String = "dict.gz" var biDict:String = "bdict.lz4" var triDict:String = "tdict.lz4" From 284e3a024ede9f527fea7010cc7512422d7ab1e5 Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 18:28:54 -0700 Subject: [PATCH 128/385] fixes to featurizer --- BIDMach.jar | Bin 159844 -> 159896 bytes src/main/scala/BIDMach/Featurizer.scala | 13 +++++++------ 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 99e4ec497906ce36486a57464d270de16b8a977d..8592057d931910ccfc85b62b3950480976a99a9d 100755 GIT binary patch delta 25877 zcmZ^~V{m3s*M=F}wrwXJc5K_W?K~Yl>DacNbZpzUZCjn`_x)z3X1<#Fwbwak*Qq+Y z>e}nxYu)E?7dCAV7C}iC90CIb1_lNsJTV@@5G*_~(7wqY^mq8bDD@>AR06OcWd#=B zsI03ygz-B*L8}_g-qpS?t_+2tYi+>kSNH$|p@r6YZGAIkb4|0O|EVfKS@Q*#svM^4 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z2e<(gU^N$@0ssvRb^*%3dy4^6UXYW4FI|A_@Fp_A6!j2Nu=x9@hU_a~+B*OdaiE$q X;uC5N4$kvw1u#C*)|Hng, 0)) val igood = find(unis >= 0) - val gg = unis(igood) + val gg = unis(igood, 0) val ggn = gramsx(igood, 1) val feats = ggn \ gg IDict.sortlex(feats) - val (outr, ix, dmy) = IDict.uniquerows(feats) - val fcounts = (ix(1->ix.length, 0) on ix.length) - ix + val (outr, ix, iy) = IDict.uniquerows(feats) + val fcounts = (ix(1->ix.length, 0) on iy.length) - ix outr \ fcounts } @@ -192,10 +192,11 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val gg = grams(igood,?) val ggn = gramsx(igood, gramsx.ncols-1) val gmap = IDict(gg) --> alldict - val feats = ggn \ gmap + val igood2 = find(gmap >= 0) + val feats = ggn(igood2,0) \ gmap(igood2,0) IDict.sortlex(feats) - val (outr, ix, dmy) = IDict.uniquerows(feats) - val fcounts = (ix(1->ix.length, 0) on ix.length) - ix + val (outr, ix, iy) = IDict.uniquerows(feats) + val fcounts = (ix(1->ix.length, 0) on iy.length) - ix outr \ fcounts } From 92466e5ba5a36825219577cc14028ad38f1e0587 Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 21:28:00 -0700 Subject: [PATCH 129/385] fixes to featurizer --- BIDMach.jar | Bin 159896 -> 163759 bytes src/main/scala/BIDMach/Featurizer.scala | 71 ++++++++++++++++++++---- 2 files changed, 60 insertions(+), 11 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8592057d931910ccfc85b62b3950480976a99a9d..8bcff78f60a4f44f5bd3999a9c4d87742de38637 100755 GIT binary patch delta 42709 zcmZ5{Q*fZs)@(R&CN?IvZQHi3iH&b!PHa09+xEn^ZQFOwt-5vp|Lmvzu;03NuU@@+ zrS8B~f5E^j%785KC&l;@e+7vi6NP~{|E})|sINLlfc8UA zilBa&ChUn3#s`OlsY~ASUL5zfxA6J8K4SRAehPM=&nqq5SWZI5*jZkPPxdNKmSIIn zBDFq*iJyh{m&g(L($ydR5r4>f46KM|%rSr^P}q9qjkBfiNlv=){?Oi76334U@lC=T z^=opvS<^3}>95~*b?u~=vpu!LB>V2kNtVcTl6S2t2P121RdAuNoI2s6I^Y z%Cwgkal-5~4m*FI)TB-(#9g>~_G>kf2tYz(ni8_#PWZZGelHNrd)k+B1%`u^GL^M7 zR_Z-|F!CJ2((}W}K1gumxD>JD<7>Z8bN(do)EtWV)oc+Z-9(aBOkLD^WznLE>5$WS z4VW?i!XvRWI^;7CBpVVi36a*-S0sssqU?j4y6(xnM`-e?NTV 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zYAy10)Cm0M18{>rw*NW3T1Lfk?N}-|FP$=gJXZf5_SFnI%{5f%;1Z<-;jaOT%S$c! zHNXJ)LBN{V06XjDqPm)SxyZ3!85}eKxXBGrgOq;2%}d)`egFd&G1I?q8NnK3fQU6R zYDeM!uV@U6>pQn$1;Fj_i!~String = dirMap(mainDir + "%04d/") - var fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") - var fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") - var toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") + val tokDirName = "twitter/tokenized/" + val featDirName = "twitter/featurized/" + def mainDir = "/big/" + tokDirName + def mainDict:String = "/big/" + tokDirName + "alldict.gz" + def mainCounts:String = "/big/" + tokDirName + "allwcount.gz" + def mainBDict:String = "/big/" + tokDirName + "allbdict.lz4" + def mainBCounts:String = "/big/" + tokDirName + "allbcnts.lz4" + def mainTDict:String = "/big/" + tokDirName + "alltdict.lz4" + def mainTCounts:String = "/big/" + tokDirName + "alltcnts.lz4" + def fromYearDir:(Int)=>String = dirMap(mainDir + "%04d/") + def fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") + def fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") + def toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) var toUniFeats:(Int)=>String = (n:Int) => ("unifeats%02d.lz4" format n) var toBiFeats:(Int)=>String = (n:Int) => ("bifeats%02d.lz4" format n) From d529b5f6089a8574327513f263dbb963b35ff52a Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 21:45:55 -0700 Subject: [PATCH 130/385] fixes to featurizer --- BIDMach.jar | Bin 163759 -> 163771 bytes src/main/scala/BIDMach/Featurizer.scala | 12 ++++++------ 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 8bcff78f60a4f44f5bd3999a9c4d87742de38637..249c71a30677dbef10d9508bbaadd8bf26f708f2 100755 GIT binary patch delta 2753 zcmZ9OdpK0v8^>oa_d}7!ZDyjOLhhGHOrpf7gdq`fzmHD2m}DBXZkgwTXDgGbt! 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z1Y}^fBw&hm1tk4FbUTk*(UgDRAgq)OEH_hACQA{P6BN{OString = dirMap(mainDir + "%04d/") def fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") def fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") From 9bbbc93b537e8f112af3d8ad68ecbe4e6c2a597a Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 21:53:16 -0700 Subject: [PATCH 131/385] fixes to featurizer --- BIDMach.jar | Bin 163771 -> 162861 bytes src/main/scala/BIDMach/Featurizer.scala | 17 ++++++----------- 2 files changed, 6 insertions(+), 11 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 249c71a30677dbef10d9508bbaadd8bf26f708f2..e6650cd1050ff63e34fe9afb776240bdb740c3f4 100755 GIT binary patch delta 41826 zcmaI7Q*fZs+O3YfwVZvras1ZADG7xAv&&ReJsJmfF zf0H48_U8p@j# zMru1hUp0kzkmB9~5CbEWu}73=>$2(j(O`fR2|J%sQhKEYsT~hKO68?hJ|g+P|5(?U zzgFv=NA-IAt;0h@+iVOuTVzzUqaSexGj$5w@3!hA2vdHG{L3W4+Ewlh{=IRxa^?7U zb@<=?!VpAB;Ac<8O@B-j`HQynkQ=E)z8KR6;SfC`qrWDdUTFN4zPIAnqQc@?i|c@_ 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b/src/main/scala/BIDMach/Featurizer.scala @@ -6,11 +6,6 @@ import HMat._ import scala.actors._ import java.io._ -object featurizeAll { - - -} - class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { var alldict:Dict = null @@ -282,16 +277,16 @@ object Featurizer { } val fs = new Featurizer(newopts) - val (bd1) = ff.mergeIDicts(rebuild) - val (bd2) = fs.mergeIDicts(rebuild) - val (bdd) = IDict.merge2(bd1,bd2) + val bd1 = ff.mergeIDicts(rebuild) + val bd2 = fs.mergeIDicts(rebuild) + val bdd = IDict.merge2(bd1,bd2) val (sbc, ibc) = sortdown2(bdd.counts) HMat.saveIMat(ff.opts.mainBDict, IMat(bdd.grams(ibc,?))) HMat.saveDMat(ff.opts.mainBCounts, sbc) - val (td1) = ff.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") - val (td2) = fs.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") - val (tdd) = IDict.merge2(td1,td2) + val td1 = ff.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") + val td2 = fs.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") + val tdd = IDict.merge2(td1,td2) val (stc, itc) = sortdown2(tdd.counts) HMat.saveIMat(ff.opts.mainTDict, IMat(tdd.grams(itc,?))) HMat.saveDMat(ff.opts.mainTCounts, stc) From a6b673d1fcda1e2dab5cd4b4f1d77f86a20aa49c Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 22:12:56 -0700 Subject: [PATCH 132/385] fixes to featurizer --- BIDMach.jar | Bin 162861 -> 163361 bytes src/main/scala/BIDMach/Featurizer.scala | 52 ++++++++++++------------ 2 files changed, 27 insertions(+), 25 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index e6650cd1050ff63e34fe9afb776240bdb740c3f4..cb8c5750d060ef47ad28e528cb7b82bb8d928bda 100755 GIT binary patch delta 34540 zcmZ6yV{{*J*EZU)v2EM7ZQD+RhK)0g{;};ewr$(C(b#IxxA*g&bJn?^`7~>OGhgOf zd#?+7SG~agdWS_&k%xf9_yPk1^Ci759>Ewqy)M9^$pI`Z{NG*bUL+Vjz{+H9Z|dsm zpsJ|6A%c;mXs-|`+dDfyJC8g{ItE66q9vGw0UJImPKVUxkOkGuV`uSQ|PFu)tuazXkc9G+aO~>7rt@P zT5>PQOGR|)pIXAERKyzveC1j>zUk`S1j{6%ov3=^NN7op4qNtUQuRr^RXH*~nyoVU zXk0j-IHdV(XYYpj1jk0OC_t%B( zCmOkfDJHLa+C(09nkm9d(=bEY$Fy>ADg&eyE+N7m`ychPrVx`^rr67`5xx>?&al?JjS6?&?6t0$}7Bz z{8yMYFNmcqurFWI!M}X@|Ks`}90hqhU&U)^= 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} @@ -169,6 +170,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { saveDMat(opts.fromDayDir(d) + opts.triCnts, tf.counts) print(".") } + if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) } } } @@ -212,34 +214,34 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val bigramsx = IMat(opts.guessSize, 3) val trigramsx = IMat(opts.guessSize, 4) for (d <- (opts.nstart+ithread) to opts.nend by nthreads) { - val (year, month, day) = Featurizer.decodeDate(d) + val (year, month, day) = Featurizer.decodeDate(d) val fdict = opts.fromDayDir(d)+opts.localDict if (fileExists(fdict)) { var dict:Dict = null var map:IMat = null val fd = new File(opts.toDayDir(d)) - if (!fd.exists) fd.mkdirs - for (ifile <- 0 until 24) { - val fn = opts.fromDayDir(d)+opts.fromFile(ifile) - val fx = opts.toDayDir(d)+opts.toTriFeats(ifile) - if (fileExists(fn) && (rebuild || !fileExists(fx))) { - if (dict == null) { - dict = Dict(loadBMat(fdict)) - map = dict --> alldict - } - val idata = loadIMat(fn) - val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) - val unifeats = mkUniFeats(map, unigramsx, nuni) - val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) - val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) - saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) - saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) - saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) - } - } - print(".") + if (!fd.exists) fd.mkdirs + for (ifile <- 0 until 24) { + val fn = opts.fromDayDir(d)+opts.fromFile(ifile) + val fx = opts.toDayDir(d)+opts.toTriFeats(ifile) + if (fileExists(fn) && (rebuild || !fileExists(fx))) { + if (dict == null) { + dict = Dict(loadBMat(fdict)) + map = dict --> alldict + } + val idata = loadIMat(fn) + val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) + val unifeats = mkUniFeats(map, unigramsx, nuni) + val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) + val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) + saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) + saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) + saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) + } + } + print(".") } - if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) + if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) } } } From e292a2354cec07a81932888cf3befedc9d219a91 Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 18 Jul 2013 22:29:55 -0700 Subject: [PATCH 133/385] fixes to featurizer --- BIDMach.jar | Bin 163361 -> 163504 bytes src/main/scala/BIDMach/Featurizer.scala | 6 ++++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index cb8c5750d060ef47ad28e528cb7b82bb8d928bda..1c3d116b4e567fea8185961df91fa69998875576 100755 GIT binary 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changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 1c3d116b4e567fea8185961df91fa69998875576..98cb01554f968f79cfba28ad2143cf2ab333ed88 100755 GIT binary patch delta 38 ucmdn+mvh5kPM!d7W)=|!4h{~6JNp`WT6q|^@-Y34V7jw!J9i}0QdI!;Wel4D delta 30 mcmdn+mvh5k&gl-*7^NDeTBR7bN-@2UVA{5MJ9i}0QdI!MU<;Z6 From d4d675405a9349d0e0bf37f8fcaf30e5f49dd8a7 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 19 Jul 2013 09:57:21 -0700 Subject: [PATCH 135/385] tranpose featurizer output --- BIDMach.jar | Bin 163504 -> 163531 bytes lib/bidmach_init.scala | 3 +- src/main/scala/BIDMach/Featurizer.scala | 48 ++++++++++++------------ 3 files changed, 26 insertions(+), 25 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 98cb01554f968f79cfba28ad2143cf2ab333ed88..a4a6b2a85cd8cc51bb0663e90a35b881d5721f1a 100755 GIT binary patch delta 7367 zcmZX2Wn5Hi_x8-t-7SrPw4iiKcMsj&9YYNzNQ1;kDk0JhLn{)}2!eE{bV!UKyvRBK z=RD_m_m_RIYpv^AYwh3tVeM7(8)N7<29Aa@5;8FW9UUD&r+$`#V~TYD3Uh6A1xCmG 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b/lib/bidmach_init.scala @@ -1,8 +1,9 @@ -import BIDMat.{Mat, DMat, FMat, IMat, BMat, CMat, SMat, SDMat, GMat, GSMat, HMat} +import BIDMat.{BMat,CMat,CSMat,DMat,Dict,IDict,FMat,GMat,GIMat,GSMat,HMat,IMat,Mat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import BIDMat.Solvers._ import BIDMat.Plotting._ +import BIDMach.{Featurizer} // import BIDMach.{Learner,LogisticModel,LinearRegModel,ADAGradUpdater} Mat.checkMKL diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index a5e4f64a..f244a53f 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -22,8 +22,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (rebuild || ! fm.exists) { val fd = new File(opts.fromDayDir(d) + wcountname) if (fd.exists) { - val bb = HMat.loadBMat(opts.fromDayDir(d) + dictname) - val cc = HMat.loadIMat(opts.fromDayDir(d) + wcountname) + val bb = loadBMat(opts.fromDayDir(d) + dictname) + val cc = loadIMat(opts.fromDayDir(d) + wcountname) Dict.treeAdd(Dict(bb, cc, opts.threshold), dd) print(".") } @@ -31,15 +31,15 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val dx = Dict.treeFlush(dd) val (sv, iv) = sortdown2(dx.counts) val dxx = Dict(dx.cstr(iv), sv) - HMat.saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) - HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) + saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) + saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) } } if (day == 31) { val fm = new File(opts.fromMonthDir(d) + wcountname) if (fm.exists) { - val bb = HMat.loadBMat(opts.fromMonthDir(d) + dictname) - val cc = HMat.loadDMat(opts.fromMonthDir(d) + wcountname) + val bb = loadBMat(opts.fromMonthDir(d) + dictname) + val cc = loadDMat(opts.fromMonthDir(d) + wcountname) Dict.treeAdd(Dict(bb, cc, 4*opts.threshold), md) println("%04d-%02d" format (year,month)) } @@ -49,13 +49,13 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val dy = Dict.treeFlush(md) val (sv, iv) = sortdown2(dy.counts) val dyy = Dict(dy.cstr(iv), sv) - HMat.saveBMat(opts.mainDir + dictname, BMat(dyy.cstr)) - HMat.saveDMat(opts.mainDir + wcountname, dyy.counts) + saveBMat(opts.mainDir + dictname, BMat(dyy.cstr)) + saveDMat(opts.mainDir + wcountname, dyy.counts) dyy } def mergeIDicts(rebuild:Boolean=false, dictname:String="bdict.lz4", wcountname:String="bcnts.lz4"):IDict = { - if (alldict == null) alldict = Dict(HMat.loadBMat(opts.mainDict)) + if (alldict == null) alldict = Dict(loadBMat(opts.mainDict)) val dd = new Array[IDict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 val md = new Array[IDict](1+(math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) @@ -68,7 +68,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (month != lastmonth) { val dfname = opts.fromMonthDir(d) + opts.localDict if (fileExists(dfname)) { - mdict = Dict(HMat.loadBMat(dfname)) // Load token dictionary for this month + mdict = Dict(loadBMat(dfname)) // Load token dictionary for this month val fm = new File(opts.fromMonthDir(d) + wcountname) // Did we process this month? domonth = rebuild || !fm.exists } else { @@ -80,7 +80,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (domonth) { val fd = new File(opts.fromDayDir(d) + wcountname) if (fd.exists) { - val dict = Dict(HMat.loadBMat(opts.fromDayDir(d) + opts.localDict)) // Load token dictionary for this day + val dict = Dict(loadBMat(opts.fromDayDir(d) + opts.localDict)) // Load token dictionary for this day val bb = loadIMat(opts.fromDayDir(d) + dictname) // Load IDict info for this day val cc = loadDMat(opts.fromDayDir(d) + wcountname) val map = dict --> mdict // Map from this days tokens to month dictionary @@ -101,8 +101,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { if (day == 31) { // On the last day, save the accumulated results val dx = IDict.treeFlush(dd) if (dx != null) { - HMat.saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) - HMat.saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) + saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) + saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) } } } @@ -127,8 +127,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { println val (sv, iv) = sortdown2(dy.counts) // Sort down by ngram frequency val dyy = IDict(dy.grams(iv,?), sv) - HMat.saveIMat(opts.mainDir + dictname, dyy.grams) - HMat.saveDMat(opts.mainDir + wcountname, dyy.counts) + saveIMat(opts.mainDir + dictname, dyy.grams) + saveDMat(opts.mainDir + wcountname, dyy.counts) dyy } @@ -234,9 +234,9 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val unifeats = mkUniFeats(map, unigramsx, nuni) val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) - saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) - saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) - saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) + saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats.t) + saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats.t) + saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats.t) } } print(".") @@ -267,8 +267,8 @@ object Featurizer { val d2 = fs.mergeDicts(rebuild) val dd = Dict.union(d1, d2) val (sc, ic) = sortdown2(dd.counts) - HMat.saveBMat(ff.opts.mainDict, BMat(dd.cstr(ic,0))) - HMat.saveDMat(ff.opts.mainCounts, sc) + saveBMat(ff.opts.mainDict, BMat(dd.cstr(ic,0))) + saveDMat(ff.opts.mainCounts, sc) } def buildMainGDicts(rebuild:Boolean=false) = { @@ -285,15 +285,15 @@ object Featurizer { val bd2 = fs.mergeIDicts(rebuild) val bdd = IDict.merge2(bd1,bd2) val (sbc, ibc) = sortdown2(bdd.counts) - HMat.saveIMat(ff.opts.mainBDict, IMat(bdd.grams(ibc,?))) - HMat.saveDMat(ff.opts.mainBCounts, sbc) + saveIMat(ff.opts.mainBDict, IMat(bdd.grams(ibc,?))) + saveDMat(ff.opts.mainBCounts, sbc) val td1 = ff.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") val td2 = fs.mergeIDicts(rebuild, "tdict.lz4", "tcnts.lz4") val tdd = IDict.merge2(td1,td2) val (stc, itc) = sortdown2(tdd.counts) - HMat.saveIMat(ff.opts.mainTDict, IMat(tdd.grams(itc,?))) - HMat.saveDMat(ff.opts.mainTCounts, stc) + saveIMat(ff.opts.mainTDict, IMat(tdd.grams(itc,?))) + saveDMat(ff.opts.mainTCounts, stc) } def encodeDate(yy:Int, mm:Int, dd:Int) = (372*yy + 31*mm + dd) From f52a43e5fc1aee9ad0fb1c17652cca434ec8f966 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 19 Jul 2013 16:39:18 -0700 Subject: [PATCH 136/385] undo transpose for featurizer --- BIDMach.jar | Bin 163531 -> 163507 bytes src/main/scala/BIDMach/Featurizer.scala | 18 +++++++++--------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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z8A$p>jPzwmKPCVWObh^U|Eoy;n!f>9aEBTs0{E^o5dVqxMqLsy4gerS2>|f?D?qR1 z9|2krAocID-5?KR_YM9MtS>5BC30z45=1lZC$sBYevrNccP3 z)o-L`?Jq(Emk9t8()^yt|Joe^0ObFw>lxfV0Lc1h^8dKLz;hp_6?pywP7nxWhOYzw ziT)(`>vZw34D;{l(t+a#0>%H#>0fdG|07kM|0myrCkD|U>R*BL|D)nw{fGKs27nGf z3It;R;r~+-M*FW5aJu=;e*!1B0+Lew_YwdAK=v~y&gZ~K2gbpN-UWUfEu5W}-x0eOHElJN0YKqX+CGMoeoltboF1E%m&Qoy~S58Xhh d4Sx>>Dj{F!1JgiAr0_c^kN^!}{7^aIe*iGz9UuSz diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 98af0ddc..1f360685 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -13,7 +13,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { var alltdict:IDict = null def mergeDicts(rebuild:Boolean,dictname:String="dict.gz",wcountname:String="wcount.gz"):Dict = { - val dd = new Array[Dict](5) // Big enough to hold log2(days per month) + val dd = new Array[Dict](5) // Big enough to hold log2(days per month) val nmonths = 2 + (opts.nend - opts.nstart)/31 val md = new Array[Dict](1+(math.log(nmonths)/math.log(2)).toInt) // Big enough to hold log2(num months) for (d <- opts.nstart to opts.nend) { @@ -250,6 +250,16 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { def fileExists(fname:String) = { val testme = new File(fname) testme.exists + } + + def loadDicts() = { + if (alldict == null) alldict = Dict(HMat.loadBMat(opts.mainDict)) + if (allbdict == null) allbdict = IDict(HMat.loadIMat(opts.mainBDict)) + if (alltdict == null) alltdict = IDict(HMat.loadIMat(opts.mainTDict)) + val alld = alldict.cstr + val bg = allbdict.grams + val tg = alltdict.grams + (alld(bg(?,0)) + " " + alld(bg(?,1)), alld(tg(?,0)) + " " + alld(tg(?,1)) + " " + alld(tg(?,2))) } } @@ -319,6 +329,7 @@ object Featurizer { (fname format (yy, mm, dd)) } } + class Options { val tokDirName = "twitter/tokenized/" From 7caf35739a9353123740ea4241952442008f7eec Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 19 Jul 2013 19:18:59 -0700 Subject: [PATCH 138/385] loadDicts --- BIDMach.jar | Bin 163861 -> 163907 bytes src/main/scala/BIDMach/Featurizer.scala | 3 ++- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/BIDMach.jar b/BIDMach.jar index c167c8b32f7ab8805942fbd38d3b3096b4132cb8..9bd84bf7b956b5c2fb80385bbb7ba1afd00b34f0 100755 GIT binary patch delta 25233 zcmagFV{~9av-ca@wrv{|+xEn^xnr9X+nm_;#I`x{B$+sKXP)z(`=0mSweJ12Ywzw} z`$MgN{i>?F(*og!0^typ<-j2@Kww~CKy_H=={#qG(F`)DSE0d|6 zv8$`Sih|PS7mOSQ0{P&Hh{Cxq*6`D$6QJ~`ngk?q7*YMCm=QZ%Gsz4*7n3{9MSWFi z(R7b<#B;kA?sU5_hM27J3K;c31n{`iPVOJLMN?SIEJ1@$xZMezb5xquiy|l_WJKm~*x8oph8yv7RN7$E|Ar1%7dIv2zu48j-4|eMo4CES3^9CzzaqZv{f?q-G4(Z)&eWK+SV_|*RA_+*d7 zvpzZ<88KX$11=%!b2FpgQE$F|$C(IZ*73pd3eCK_*f{)Vi}>bMJ2;Xqtp`N&lX(D_ z4KR08byR+7L4V5Ssb`N%1pP;I)n;M1to5Ymj1;*%5^YofBd;16j2wT%>P>;f$dLen z`0jA&=UNF9m4G^nVQ_*>P?g~7N)?6l+tM5LKabr&7JoY_@Vwo>=tjs#rE$v>thCE! ziB_YtrS~Oxf}o1f9~hxl?E)u!1U6K&Zx{(TQWci~P9%Y;!s%7Au 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b/src/main/scala/BIDMach/Featurizer.scala @@ -259,7 +259,8 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val alld = alldict.cstr val bg = allbdict.grams val tg = alltdict.grams - (alld(bg(?,0)) + " " + alld(bg(?,1)), alld(tg(?,0)) + " " + alld(tg(?,1)) + " " + alld(tg(?,2))) + (alld(bg(?,0)) + CSMat.cselem(" ") + alld(bg(?,1)), + alld(tg(?,0)) + CSMat.cselem(" ") + alld(tg(?,1)) + CSMat.cselem(" ") + alld(tg(?,2))) } } From 275675252483ae886a5513b10d16b096214ea179 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 19 Jul 2013 19:25:31 -0700 Subject: [PATCH 139/385] loadDicts --- BIDMach.jar | Bin 163907 -> 164108 bytes src/main/scala/BIDMach/Featurizer.scala | 15 +++++++++++++-- 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 9bd84bf7b956b5c2fb80385bbb7ba1afd00b34f0..7720a25b31872fcbf43159157a6f4ac74e1b42ce 100755 GIT binary patch delta 25516 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z)ICW8{Zscx&;gf?{C`$uX>SrC}!Py7E3a*_RIUHo90c_ZSOT_75ez9*0+T=--hi25i`2oX>LEmshBsgq*oar)3}YC4$mJU_ N7DAH#lSV)2{{ZCJoZkQd diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 3f76329c..c7138b6d 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -259,8 +259,19 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val alld = alldict.cstr val bg = allbdict.grams val tg = alltdict.grams - (alld(bg(?,0)) + CSMat.cselem(" ") + alld(bg(?,1)), - alld(tg(?,0)) + CSMat.cselem(" ") + alld(tg(?,1)) + CSMat.cselem(" ") + alld(tg(?,2))) + val bd = CSMat(bg.nrows,1) + val td = CSMat(tg.nrows,1) + var i = 0 + while (i < bg.nrows) { + bd(i) = alld(bg(i,0)) + " " + alld(bg(i,1)) + i += 1 + } + i = 0 + while (i < tg.nrows) { + td(i) = alld(tg(i,0)) + " " + alld(tg(i,1)) + " " + alld(tg(i,2)) + i += 1 + } + (bg, td) } } From 7aee0ec87ab857a475ae34f224524a4c525cdc9e Mon Sep 17 00:00:00 2001 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zs4xS7^glue4FLVGUleIx0Oc2M{tvmm0Xi>ols7>4g&W?0>=%Ca0R+Dg*%x5{LRVja z-U|nP0s1dw@&g#WFw_r_^+Fndz?T<(_XpU$5IX?y@rAYl0GSt72LN=@II=G!y$IH0 z(%S+7#OVxyfOjt@v%vp<>Zbo8K@dP0>&5l|oCxWTK>#7z7gf#3k&Pt)0bv^n0f7kN ze?P|bfb>NAe`yzk0Kk{D`#}H-q*si9^tbE)l9w}s;J*wj>vg|y{zXq9BOp-x?*s@> zZ2$RE{+EH4>ECSs`?Zq(KfbzLfb;?+0AV_k5dbf}6AYk2Vix~bfGL11{SgdcLn2lH zq-!YrD@WopfE6iJ8Ib&j{B`=*&;Lvgnt)`DV6ybl7eVbKAk7$&IGx}N01rja;NQ{^ F{y#RCdQt!Y diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index c7138b6d..3ddbd08f 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -268,10 +268,10 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } i = 0 while (i < tg.nrows) { - td(i) = alld(tg(i,0)) + " " + alld(tg(i,1)) + " " + alld(tg(i,2)) + td(i) = (alld(tg(i,0)) + " " + alld(tg(i,1))) + (" " + alld(tg(i,2))) i += 1 } - (bg, td) + (alld, bd, td) } } From 67e2d02db2d9c9b4fe72418d4e4c21d46d107c2b Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 21 Jul 2013 11:58:48 -0700 Subject: [PATCH 141/385] Deal with synchronization problems in IDicts --- BIDMach.jar | Bin 164138 -> 164225 bytes src/main/scala/BIDMach/Featurizer.scala | 3 +++ 2 files changed, 3 insertions(+) diff --git a/BIDMach.jar b/BIDMach.jar index 47f9921483723937c6c017d6e89e89d280adcfd9..a2985ad0f4e55a4c6a7d4486c55f572c0b68a57b 100755 GIT binary patch delta 31359 zcmaHyV|1iVx3FW|o{6oFHJRA9ZCjJ{L>+r#+nCt4C$>4UoqRLT`<}JVdCys2|EcP} zd)*^4--Q<2MMvh1%lh*(x z_pJW*)=OKOTV)C-xpoYvF&Y)wZb`#QS^6cus^|YL-;39;Ke<|ch{}!iBsU-xY0aKrF4L+WQQPxwF>A}h$Rdf#Tz#JBRzRr1|oQ)jyiFQDstz?XzQr{Af$f_tA^uG zI+pcM$3V;J#1&Up%VUw<3a{U}AUE)fX}rW!34olMw97~K_D=rym%QK)`ULPjJS#+c zLAGEXRBwNH@ni!I^B!HxH_$^ua5sesj7S9=&Y<$xMJZwA?RoIZ!A2zS>T}>zQkN%U z^*-}v-s?$2<+#k(xh+STu(L@Ok!S_%Wv%TKLndUx$4l2IB51SXQEyBgnlBKFGO%#V z_dCBbz`?*$A;7@?M?C*Vj}MpumGE68H&?OKS&|GpLO;Tr#vdW9n>19!fzSdHak90R zt8&F)URo^C`v~0XA*r$bdX;e?oVsNa)5+ 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+ allbdict.makeSorted + alltdict.makeSorted val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) for (ithread <- 0 until nthreads) { Actor.actor { From ab7052d6be115e7f7f2bd0f13e8f05b144dd963c Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 21 Jul 2013 14:44:41 -0700 Subject: [PATCH 142/385] Made all functions terminate synchronously --- BIDMach.jar | Bin 164225 -> 164680 bytes src/main/scala/BIDMach/Featurizer.scala | 47 ++++++++++++++++-------- 2 files changed, 32 insertions(+), 15 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index a2985ad0f4e55a4c6a7d4486c55f572c0b68a57b..3a451faeb8800e60c8cd72ffe6bf320850dc5682 100755 GIT binary patch delta 38558 zcmZ6yQ*`xySz1R+50aN_O?@ zGggf`vak(0gB>t?WT>Q{Kaj6BHgUE_8Q*~05~dp6s7Ud7)h0D{;KA_1o)ovUlmGayw#SxHyE&8|4NeN^#VdbY3~`sK@STFXHbzakv2eJlFx&DI$x2 zQ-~V@D}+%beNVDG+*Z&VekU$D=zb(NJTfDO*q?E`vTZDjJ-DX6HtZ%%K(EYZPDhB^ zv%pq?_xo>6)gu%n8hg&7K}R!%*nK5o*P~Z%^+9HS#N=s31y{?79z%$s9tCMAXzVI^ 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math.max(1, Mat.hasCUDA)) + val done = izeros(nthreads,1) for (ithread <- 0 until nthreads) { Actor.actor { - if (Mat.hasCUDA > 0) setGPU(ithread) + if (Mat.hasCUDA > 0) setGPU(ithread+Mat.hasCUDA-nthreads) val bigramsx = IMat(opts.guessSize, 3) val trigramsx = IMat(opts.guessSize, 4) val bdicts = new Array[IDict](5) @@ -172,8 +173,10 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) } + done(ithread,0) = 1 } } + while (mini(done).v == 0) Thread.`yield` } def mkUniFeats(map:IMat, gramsx:IMat, ng:Int):IMat = { @@ -210,9 +213,10 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { allbdict.makeSorted alltdict.makeSorted val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) + val done = izeros(nthreads,1) for (ithread <- 0 until nthreads) { Actor.actor { - if (Mat.hasCUDA > 0) setGPU(ithread) + if (Mat.hasCUDA > 0) setGPU(ithread+Mat.hasCUDA-nthreads) val unigramsx = IMat(opts.guessSize, 2) val bigramsx = IMat(opts.guessSize, 3) val trigramsx = IMat(opts.guessSize, 4) @@ -240,14 +244,16 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) + if (ifile == 23) print(".") } - } - print(".") + } } if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) } + done(ithread,0) = 1 } } + while (mini(done).v == 0) Thread.`yield` } def fileExists(fname:String) = { @@ -280,14 +286,24 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { object Featurizer { - def buildMainDict(rebuild:Boolean=false) = { + def alloptions = { val ff = new Featurizer val newopts = new Featurizer.Options{ override val tokDirName = "twitter/smiley/tokenized/" override val featDirName = "twitter/smiley/featurized/" } val fs = new Featurizer(newopts) - + (ff,fs) + } + + def buildAll(rebuild:Boolean=false) = { + buildMainDict(rebuild) + buildMainGDicts(rebuild) + buildFeatures(rebuild) + } + + def buildMainDict(rebuild:Boolean=false) = { + val (ff,fs) = alloptions val d1 = ff.mergeDicts(rebuild) val d2 = fs.mergeDicts(rebuild) val dd = Dict.union(d1, d2) @@ -295,17 +311,12 @@ object Featurizer { saveBMat(ff.opts.mainDict, BMat(dd.cstr(ic,0))) saveDMat(ff.opts.mainCounts, sc) } - + def buildMainGDicts(rebuild:Boolean=false) = { - val ff = new Featurizer - val newopts = new Featurizer.Options{ - override val tokDirName = "twitter/smiley/tokenized/" - override val featDirName = "twitter/smiley/featurized/" - } - val fs = new Featurizer(newopts) - + val (ff, fs) = alloptions ff.mkIDicts(rebuild) fs.mkIDicts(rebuild) + val bd1 = ff.mergeIDicts(rebuild) val bd2 = fs.mergeIDicts(rebuild) val bdd = IDict.merge2(bd1,bd2) @@ -321,6 +332,12 @@ object Featurizer { saveDMat(ff.opts.mainTCounts, stc) } + def buildFeatures(rebuild:Boolean=false) = { + val (ff, fs) = alloptions + ff.featurize(rebuild) + fs.featurize(rebuild) + } + def encodeDate(yy:Int, mm:Int, dd:Int) = (372*yy + 31*mm + dd) def decodeDate(n:Int):(Int, Int, Int) = { @@ -370,7 +387,7 @@ object Featurizer { var biCnts:String = "bcnts.lz4" var triCnts:String = "tcnts.lz4" var nstart:Int = encodeDate(2011,11,22) - var nend:Int = encodeDate(2013,3,31) + var nend:Int = encodeDate(2013,7,16) var threshold = 10 var guessSize = 100000000 var nthreads = 2 From 24d12e883a0993357dc77e41f2ed1983162f09ea Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 22 Jul 2013 02:10:11 -0700 Subject: [PATCH 143/385] new stateful twitter scanner --- BIDMach.jar | Bin 164680 -> 166772 bytes src/main/scala/BIDMach/Featurizer.scala | 153 ++++++++++++++++-------- 2 files changed, 106 insertions(+), 47 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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scanner.scan(opts, dict, idata, null, bigramsx, trigramsx) + val (nuni, nbi, ntri, nusers) = scanner.scan(opts, dict, idata, null, bigramsx, trigramsx, null) val bigrams = bigramsx(0->nbi, 0->2) val bid = if (nbi > 0) IDict.dictFromData(bigrams) else null val trigrams = trigramsx(0->ntri, 0->3) @@ -220,6 +220,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val unigramsx = IMat(opts.guessSize, 2) val bigramsx = IMat(opts.guessSize, 3) val trigramsx = IMat(opts.guessSize, 4) + val userids = IMat(opts.guessSize/10, 2) for (d <- (opts.nstart+ithread) to opts.nend by nthreads) { val (year, month, day) = Featurizer.decodeDate(d) val fdict = opts.fromDayDir(d)+opts.localDict @@ -237,13 +238,14 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { map = dict --> alldict } val idata = loadIMat(fn) - val (nuni, nbi, ntri) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx) + val (nuni, nbi, ntri, nusers) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx, userids) val unifeats = mkUniFeats(map, unigramsx, nuni) val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) + saveIMat(opts.toDayDir(d) + opts.toUserids(ifile), userids(nusers, ?)) if (ifile == 23) print(".") } } @@ -381,6 +383,7 @@ object Featurizer { var toUniFeats:(Int)=>String = (n:Int) => ("unifeats%02d.lz4" format n) var toBiFeats:(Int)=>String = (n:Int) => ("bifeats%02d.lz4" format n) var toTriFeats:(Int)=>String = (n:Int) => ("trifeats%02d.lz4" format n) + var toUserids:(Int)=>String = (n:Int) => ("userids%02d.lz4" format n) var localDict:String = "dict.gz" var biDict:String = "bdict.lz4" var triDict:String = "tdict.lz4" @@ -395,21 +398,35 @@ object Featurizer { } trait Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat, userids:IMat):(Int, Int, Int, Int) } object TwitterScanner extends Scanner { - def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat):(Int, Int, Int) = { + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat, userids:IMat):(Int, Int, Int, Int) = { val isstart = dict("") val isend = dict("") val irstart = dict("") val irend = dict("") val itstart = dict("") val itend = dict("") - val ioverrun = dict("") - var instatus = false - var intext = false - var inretweet = false + val iuser = dict("") + val iuend = dict("") + val iistart = dict("") + val iiend = dict("") + var state = 0 + /* + * state = 0: outside a status + * state = 1: inside a status + * state = 2: inside the first-level user tag + * state = 3: inside the id of a first-level user tag + * state = 4: inside first-level text field + * state = 5: inside a retweet + * state = 6: inside the status tag in a retweet + * state = 7: inside user field of retweet + * state = 8: inside the id of a user in a retweet + * state = 9: inside text field of retweet + */ + var istatus = -1 var nuni = 0 var nbi = 0 @@ -417,54 +434,96 @@ object TwitterScanner extends Scanner { var len = idata.length var i = 0 while (i < len) { - if (idata.data(i) > 0) { - val tok = idata.data(i)-1 - if (tok == isstart) { - instatus = true + val tok = idata.data(i)-1 + if (tok == isend) { + state = 0 + } else { + state match { + case 0 => if (tok == isstart) { + state = 1 istatus += 1 - } else if (tok == itstart && instatus) { - intext = true - } else if (tok == itend || tok == ioverrun) { - intext = false - } else if (tok == isend) { - intext = false - instatus = false - inretweet = false + } + case 1 => if (tok == iuser) { + state = 2 + } else if (tok == itstart) { + state = 4 + } else if (tok == irstart) { + state = 5 + } + case 2 => if (tok == iistart) { + state = 3 + } else if (tok == iuend) { + state = 1 } else if (tok == irstart) { - inretweet = true - } else if (tok == irend) { - inretweet = false - } else { - if (intext) { - if (unigramsx != null) { - unigramsx(nuni, 0) = tok - unigramsx(nuni, 1) = istatus - nuni += 1 - } - if (idata.data(i-1) > 0) { - val tok1 = idata.data(i-1)-1 - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - bigramsx(nbi, 2) = istatus - nbi += 1 - if (idata.data(i-2) > 0) { - val tok2 = idata.data(i-2)-1 - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - trigramsx(ntri, 3) = istatus - ntri += 1 - } + state = 5 + } + case 3 => if (tok+1 < 0) { + if (userids != null) { + userids(istatus,0) = -(tok+1) + userids(istatus,1) = 0 + } + } else if (tok == iiend) { + state = 2 + } + case 4 => if (tok == itend) { + state = 1 + } else if (tok == iuser) { + state = 2 + } else if (tok+1 > 0) { + if (unigramsx != null) { + unigramsx(nuni, 0) = tok + unigramsx(nuni, 1) = istatus + nuni += 1 + } + if (idata.data(i-1) > 0) { + val tok1 = idata.data(i-1)-1 + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + bigramsx(nbi, 2) = istatus + nbi += 1 + if (idata.data(i-2) > 0) { + val tok2 = idata.data(i-2)-1 + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + trigramsx(ntri, 3) = istatus + ntri += 1 } } } } } + case 5 => if (tok == isstart) { + state = 6 + } else if (tok == irend) { + state = 1 + } + case 6 => if (tok == iuser) { + state = 7 + } else if (tok == itstart) { + state = 9 + } + case 7 => if (tok == iuend) { + state = 6 + } else if (tok == iistart) { + state = 8 + } + case 8 => if (tok == iiend) { + state = 7 + } else if (tok-1 < 0) { + if (userids != null) userids(istatus, 1) = -(tok+1) + } + case 9 => if (tok == itend) { + state = 6 + } else if (tok == iuser) { + state = 7 + } + } } i += 1 } - (nuni, nbi, ntri) + (nuni, nbi, ntri, istatus) } } \ No newline at end of file From fa0a1909a02c9798b8aedb3f9ae6526ed6285a72 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 22 Jul 2013 22:05:05 -0700 Subject: [PATCH 144/385] stateful scanner --- BIDMach.jar | Bin 166772 -> 167002 bytes src/main/scala/BIDMach/Featurizer.scala | 2 ++ 2 files changed, 2 insertions(+) diff --git a/BIDMach.jar b/BIDMach.jar index b156fac5a02f337f8424ecbc7c221b473b131123..415be449dfb8a583ac8685944e36af2bf6476185 100755 GIT binary patch delta 7994 zcmZ8m1z1#D*JchO-CfclrHG_-iL}y6OP3&BLwD%_gQO_kFu>5Dk^+L1f=DCX0wM@M z6Zii2`FI{!@5=q|we}u3hhORVGa2}VI_j8Mlo+_UxEQH5FA2?o>z^(hn5i`v zx?TyE;%$zqWIjv>Bk-L^DTq7*UlJIVzdSxN)FPQ4D&-1r!ZIS3F%cG6a7-sE)^ZZ* zB81t-ouXP}k^BuA0|}0yhxjKG!K@&!|Bbyi5JGI@3Sj+ddZ_T5nQxI^Sa;S83gqX+ 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zY%#>=O8-8}S{N8~|6Pi)Apx^Z1gKy!5P$-9ngp-_aq2M2SwsW$iZ_vAm;&y2Bw?>kmIyF0$0NS11ewo1poj5 diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 3371edd0..7513b648 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -435,6 +435,8 @@ object TwitterScanner extends Scanner { var i = 0 while (i < len) { val tok = idata.data(i)-1 + if (tok+1 >0) println(dict(tok)+ " " + state) + else println("num " +(-(tok+1))+ " " + state) if (tok == isend) { state = 0 } else { From 48dc916f8b448738f22f2a12392a27e32278f0dd Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 22 Jul 2013 23:50:43 -0700 Subject: [PATCH 145/385] new stateful twitter scanner --- BIDMach.jar | Bin 167002 -> 168018 bytes src/main/scala/BIDMach/Featurizer.scala | 193 ++++++++++++------------ 2 files changed, 99 insertions(+), 94 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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z2thay@?Ho_B#`m1RQ$UROZXc~lncTd3B-lOMFP>uUJA3~ z|2*jc0Pb(lJl_9!H6ICNg|?OhLVT2f_>kME7hl+;fW*)`>OhE{_KSO#Q9yd=UM*l8 qD*-;FG7885U9Jy|Q++A<-u!VAYYI#>fWn3dL<7;_(#(M`SNT7eWC26~ diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 7513b648..451e5198 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -4,6 +4,7 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import HMat._ import scala.actors._ +import scala.annotation.switch import java.io._ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { @@ -402,8 +403,20 @@ trait Scanner { } object TwitterScanner extends Scanner { + final val outsideStatus = 0 + final val insideStatus = 1 + final val insideUser = 2 + final val insideUserId = 3 + final val insideText = 4 + final val insideRetweet = 5 + final val insideStatusL2 = 6 + final val insideUserL2 = 7 + final val insideUserIdL2 = 8 + final val insideTextL2 = 9 + def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat, userids:IMat):(Int, Int, Int, Int) = { - val isstart = dict("") + + val isstart = dict("") val isend = dict("") val irstart = dict("") val irend = dict("") @@ -414,18 +427,7 @@ object TwitterScanner extends Scanner { val iistart = dict("") val iiend = dict("") var state = 0 - /* - * state = 0: outside a status - * state = 1: inside a status - * state = 2: inside the first-level user tag - * state = 3: inside the id of a first-level user tag - * state = 4: inside first-level text field - * state = 5: inside a retweet - * state = 6: inside the status tag in a retweet - * state = 7: inside user field of retweet - * state = 8: inside the id of a user in a retweet - * state = 9: inside text field of retweet - */ + var istatus = -1 var nuni = 0 @@ -438,90 +440,93 @@ object TwitterScanner extends Scanner { if (tok+1 >0) println(dict(tok)+ " " + state) else println("num " +(-(tok+1))+ " " + state) if (tok == isend) { - state = 0 + state = outsideStatus } else { - state match { - case 0 => if (tok == isstart) { - state = 1 + (state: @switch) match { + case `outsideStatus` => + if (tok == isstart) { + state = insideStatus istatus += 1 } - case 1 => if (tok == iuser) { - state = 2 - } else if (tok == itstart) { - state = 4 - } else if (tok == irstart) { - state = 5 - } - case 2 => if (tok == iistart) { - state = 3 - } else if (tok == iuend) { - state = 1 - } else if (tok == irstart) { - state = 5 - } - case 3 => if (tok+1 < 0) { - if (userids != null) { - userids(istatus,0) = -(tok+1) - userids(istatus,1) = 0 - } - } else if (tok == iiend) { - state = 2 - } - case 4 => if (tok == itend) { - state = 1 - } else if (tok == iuser) { - state = 2 - } else if (tok+1 > 0) { - if (unigramsx != null) { - unigramsx(nuni, 0) = tok - unigramsx(nuni, 1) = istatus - nuni += 1 - } - if (idata.data(i-1) > 0) { - val tok1 = idata.data(i-1)-1 - if (tok1 != itstart) { - bigramsx(nbi, 0) = tok1 - bigramsx(nbi, 1) = tok - bigramsx(nbi, 2) = istatus - nbi += 1 - if (idata.data(i-2) > 0) { - val tok2 = idata.data(i-2)-1 - if (tok2 != itstart) { - trigramsx(ntri, 0) = tok2 - trigramsx(ntri, 1) = tok1 - trigramsx(ntri, 2) = tok - trigramsx(ntri, 3) = istatus - ntri += 1 - } - } - } - } - } - case 5 => if (tok == isstart) { - state = 6 - } else if (tok == irend) { - state = 1 - } - case 6 => if (tok == iuser) { - state = 7 - } else if (tok == itstart) { - state = 9 - } - case 7 => if (tok == iuend) { - state = 6 - } else if (tok == iistart) { - state = 8 - } - case 8 => if (tok == iiend) { - state = 7 - } else if (tok-1 < 0) { - if (userids != null) userids(istatus, 1) = -(tok+1) - } - case 9 => if (tok == itend) { - state = 6 - } else if (tok == iuser) { - state = 7 - } + case `insideStatus` => + tok match { + case `iuser` => state = insideUser + case `itstart` => state = insideText + case `irstart` => state = insideRetweet + } + case `insideUser` => + tok match { + case `iistart` => state = insideUserId + case `iuend` => state = insideStatus + case `irstart` => state = insideRetweet + } + case `insideUserId` => + if (tok+1 < 0) { + if (userids != null) { + userids(istatus,0) = -(tok+1) + userids(istatus,1) = 0 + } + } else if (tok == iiend) { + state = insideUser + } + case `insideText` => + tok match { + case `itend` => state = insideStatus + case `iuser` => state = insideUser + case _ => if (tok+1 > 0) { + if (unigramsx != null) { + unigramsx(nuni, 0) = tok + unigramsx(nuni, 1) = istatus + nuni += 1 + } + if (idata.data(i-1) > 0) { + val tok1 = idata.data(i-1)-1 + if (tok1 != itstart) { + bigramsx(nbi, 0) = tok1 + bigramsx(nbi, 1) = tok + bigramsx(nbi, 2) = istatus + nbi += 1 + if (idata.data(i-2) > 0) { + val tok2 = idata.data(i-2)-1 + if (tok2 != itstart) { + trigramsx(ntri, 0) = tok2 + trigramsx(ntri, 1) = tok1 + trigramsx(ntri, 2) = tok + trigramsx(ntri, 3) = istatus + ntri += 1 + } + } + } + } + } + } + case `insideRetweet` => + tok match { + case `isstart` => state = insideStatusL2 + case `irend` => state = insideStatus + } + case `insideStatusL2` => + tok match { + case `iuser` => state = insideUserL2 + case `itstart` => state = insideTextL2 + } + case `insideUserL2` => + tok match { + case `iuend` => state = insideStatusL2 + case `iistart` => state = insideUserIdL2 + } + case `insideUserIdL2` => + tok match { + case `iiend` => state = insideUserL2 + case _ => if (tok-1 < 0) { + if (userids != null) userids(istatus, 1) = -(tok+1) + } + } + case `insideTextL2` => + tok match { + case `itend` => state = insideStatusL2 + case `iuser` => state = insideUserL2 + } } } i += 1 From 0cfbff8bf403d71108f2c0bf06fd7082ab8626b8 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 10:27:01 -0700 Subject: [PATCH 146/385] new stateful twitter scanner --- BIDMach.jar | Bin 168018 -> 168517 bytes src/main/scala/BIDMach/Featurizer.scala | 129 +++++++++++++----------- 2 files changed, 69 insertions(+), 60 deletions(-) diff --git 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val useridsx = IMat(opts.guessSize/10, 2) val bdicts = new Array[IDict](5) val tdicts = new Array[IDict](5) + val udicts = new Array[IDict](5) for (d <- (opts.nstart+ithread) to opts.nend by nthreads) { val (year, month, day) = Featurizer.decodeDate(d) @@ -155,21 +157,27 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { val fn = opts.fromDayDir(d)+opts.fromFile(ifile) if (fileExists(fn)) { val idata = loadIMat(fn) - val (nuni, nbi, ntri, nusers) = scanner.scan(opts, dict, idata, null, bigramsx, trigramsx, null) + val (nuni, nbi, ntri, nusers) = scanner.scan(opts, dict, idata, null, bigramsx, trigramsx, useridsx) val bigrams = bigramsx(0->nbi, 0->2) val bid = if (nbi > 0) IDict.dictFromData(bigrams) else null val trigrams = trigramsx(0->ntri, 0->3) val trid = if (ntri > 0) IDict.dictFromData(trigrams) else null + val userids = useridsx(0->nusers, 0) + val uid = if (nusers > 0) IDict.dictFromData(userids) else null IDict.treeAdd(bid, bdicts) - IDict.treeAdd(trid, tdicts) + IDict.treeAdd(trid, tdicts) + IDict.treeAdd(uid, udicts) } } val bf = IDict.treeFlush(bdicts) val tf = IDict.treeFlush(tdicts) + val uf = IDict.treeFlush(udicts) saveIMat(opts.fromDayDir(d) + opts.biDict, bf.grams) saveDMat(opts.fromDayDir(d) + opts.biCnts, bf.counts) saveIMat(opts.fromDayDir(d) + opts.triDict, tf.grams) saveDMat(opts.fromDayDir(d) + opts.triCnts, tf.counts) + saveIMat(opts.fromDayDir(d) + opts.usrDict, uf.grams) + saveDMat(opts.fromDayDir(d) + opts.usrCnts, uf.counts) print(".") } if (ithread == 0 && day/nthreads == 31/nthreads) println("%04d-%02d" format (year,month)) @@ -388,8 +396,10 @@ object Featurizer { var localDict:String = "dict.gz" var biDict:String = "bdict.lz4" var triDict:String = "tdict.lz4" + var usrDict:String = "usrdict.lz4" var biCnts:String = "bcnts.lz4" var triCnts:String = "tcnts.lz4" + var usrCnts:String = "usrcnts.lz4" var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,7,16) var threshold = 10 @@ -403,32 +413,31 @@ trait Scanner { } object TwitterScanner extends Scanner { - final val outsideStatus = 0 - final val insideStatus = 1 - final val insideUser = 2 - final val insideUserId = 3 - final val insideText = 4 - final val insideRetweet = 5 - final val insideStatusL2 = 6 - final val insideUserL2 = 7 - final val insideUserIdL2 = 8 - final val insideTextL2 = 9 + final val OutsideStatus = 0 + final val InsideStatus = 1 + final val InsideUser = 2 + final val InsideUserId = 3 + final val InsideText = 4 + final val InsideRetweet = 5 + final val InsideStatusL2 = 6 + final val InsideUserL2 = 7 + final val InsideUserIdL2 = 8 + final val InsideTextL2 = 9 def scan(opts:Featurizer.Options, dict:Dict, idata:IMat, unigramsx:IMat, bigramsx:IMat, trigramsx:IMat, userids:IMat):(Int, Int, Int, Int) = { - val isstart = dict("") - val isend = dict("") - val irstart = dict("") - val irend = dict("") - val itstart = dict("") - val itend = dict("") - val iuser = dict("") - val iuend = dict("") - val iistart = dict("") - val iiend = dict("") + val Isstart = dict("") + val Isend = dict("") + val Irstart = dict("") + val Irend = dict("") + val Itstart = dict("") + val Itend = dict("") + val Iuser = dict("") + val Iuend = dict("") + val Iistart = dict("") + val Iiend = dict("") var state = 0 - var istatus = -1 var nuni = 0 var nbi = 0 @@ -439,40 +448,40 @@ object TwitterScanner extends Scanner { val tok = idata.data(i)-1 if (tok+1 >0) println(dict(tok)+ " " + state) else println("num " +(-(tok+1))+ " " + state) - if (tok == isend) { - state = outsideStatus + if (tok == Isend) { + state = OutsideStatus } else { (state: @switch) match { - case `outsideStatus` => - if (tok == isstart) { - state = insideStatus + case OutsideStatus => + if (tok == Isstart) { + state = InsideStatus istatus += 1 } - case `insideStatus` => + case InsideStatus => tok match { - case `iuser` => state = insideUser - case `itstart` => state = insideText - case `irstart` => state = insideRetweet + case Iuser => state = InsideUser + case Itstart => state = InsideText + case Irstart => state = InsideRetweet } - case `insideUser` => + case InsideUser => tok match { - case `iistart` => state = insideUserId - case `iuend` => state = insideStatus - case `irstart` => state = insideRetweet + case Iistart => state = InsideUserId + case Irstart => state = InsideRetweet + case Iuend => state = InsideStatus } - case `insideUserId` => - if (tok+1 < 0) { + case InsideUserId => + if (tok == Iiend) { + state = InsideUser + } else if (tok+1 < 0) { if (userids != null) { userids(istatus,0) = -(tok+1) userids(istatus,1) = 0 } - } else if (tok == iiend) { - state = insideUser - } - case `insideText` => + } + case InsideText => tok match { - case `itend` => state = insideStatus - case `iuser` => state = insideUser + case Iuser => state = InsideUser + case Itend => state = InsideStatus case _ => if (tok+1 > 0) { if (unigramsx != null) { unigramsx(nuni, 0) = tok @@ -481,14 +490,14 @@ object TwitterScanner extends Scanner { } if (idata.data(i-1) > 0) { val tok1 = idata.data(i-1)-1 - if (tok1 != itstart) { + if (tok1 != Itstart) { bigramsx(nbi, 0) = tok1 bigramsx(nbi, 1) = tok bigramsx(nbi, 2) = istatus nbi += 1 if (idata.data(i-2) > 0) { val tok2 = idata.data(i-2)-1 - if (tok2 != itstart) { + if (tok2 != Itstart) { trigramsx(ntri, 0) = tok2 trigramsx(ntri, 1) = tok1 trigramsx(ntri, 2) = tok @@ -500,32 +509,32 @@ object TwitterScanner extends Scanner { } } } - case `insideRetweet` => + case InsideRetweet => tok match { - case `isstart` => state = insideStatusL2 - case `irend` => state = insideStatus + case Isstart => state = InsideStatusL2 + case Irend => state = InsideStatus } - case `insideStatusL2` => + case InsideStatusL2 => tok match { - case `iuser` => state = insideUserL2 - case `itstart` => state = insideTextL2 + case Iuser => state = InsideUserL2 + case Itstart => state = InsideTextL2 } - case `insideUserL2` => + case InsideUserL2 => tok match { - case `iuend` => state = insideStatusL2 - case `iistart` => state = insideUserIdL2 + case Iistart => state = InsideUserIdL2 + case Iuend => state = InsideStatusL2 } - case `insideUserIdL2` => + case InsideUserIdL2 => tok match { - case `iiend` => state = insideUserL2 + case Iiend => state = InsideUserL2 case _ => if (tok-1 < 0) { if (userids != null) userids(istatus, 1) = -(tok+1) } } - case `insideTextL2` => + case InsideTextL2 => tok match { - case `itend` => state = insideStatusL2 - case `iuser` => state = insideUserL2 + case Itend => state = InsideStatusL2 + case Iuser => state = InsideUserL2 } } } From 5f95b340e509103f7c7710dc92c72f438b35446b Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 10:46:46 -0700 Subject: [PATCH 147/385] featurizer cleanup --- BIDMach.jar | Bin 168517 -> 172602 bytes src/main/scala/BIDMach/Featurizer.scala | 28 ++++++++++++++---------- 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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qDKJ?Df~45|XUESPm}UrthwrZ}4-4r;0DvdtT}BN6gxf-L1N= 0) // Find the good ones + val igood = find(mini(bm, 2) >= 0) // Find the good ones val bg = bm(igood,?) val cg = cc2(igood) val ip = icol(0->igood.length) - sortlexInds(bg, ip) // lex sort them + sortlexInds(bg, ip) // lex sort them IDict.treeAdd(IDict(bg, cg(ip), opts.threshold), dd) // accumulate them print(".") } @@ -107,6 +110,9 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } } } + } + for (d <- opts.nstart to opts.nend) { + val (year, month, day) = Featurizer.decodeDate(d) if (day == 31) { // Unconditionally accumulate monthly dicts val fm = new File(opts.fromMonthDir(d) + wcountname) if (fm.exists) { @@ -134,25 +140,25 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } - def mkIDicts(rebuild:Boolean=false, scanner:Scanner=TwitterScanner) = { + def mkIDicts(rebuild:Boolean=false, scanner:Scanner=TwitterScanner) = { // Build ngram dictionaries for each day val nthreads = math.min(opts.nthreads, math.max(1, Mat.hasCUDA)) val done = izeros(nthreads,1) for (ithread <- 0 until nthreads) { Actor.actor { if (Mat.hasCUDA > 0) setGPU(ithread+Mat.hasCUDA-nthreads) - val bigramsx = IMat(opts.guessSize, 3) + val bigramsx = IMat(opts.guessSize, 3) // Temp storage for grams val trigramsx = IMat(opts.guessSize, 4) val useridsx = IMat(opts.guessSize/10, 2) - val bdicts = new Array[IDict](5) + val bdicts = new Array[IDict](5) // Trees to hold partial merges val tdicts = new Array[IDict](5) val udicts = new Array[IDict](5) for (d <- (opts.nstart+ithread) to opts.nend by nthreads) { val (year, month, day) = Featurizer.decodeDate(d) val fname = opts.fromDayDir(d)+opts.localDict - val fnew = opts.fromDayDir(d)+opts.triCnts + val fnew = opts.fromDayDir(d)+opts.usrCnts // Check if the userid dictionary was built yet if (fileExists(fname) && (rebuild || !fileExists(fnew))) { - val dict = Dict(loadBMat(fname)) + val dict = Dict(loadBMat(fname)) // load token dictionary for 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z9LG@t!p$Mmm$tn%C1(+e5yavUq`*+PUxE-Q>s0FAtfQ`cNcp`W6ILK#CzW0CW+ zgG&7LQ@pi$drVj=q9Q#2=Q-`na+7;_Y5RiZBd?0zZ%j%LK6CYtM7w8_GjmJ6Dae4~ zTc+S{yY*Wv_i`}oTk_YR)qg~f-Tq=fDDP%4R1bjl_J;9Fq(`ZMbL=Er|| zlGBHh(y*If=r(BS+VCqXmZKMRP*Nt}^h?W4)MK*>oHr)L z#dIts1mi5|s;(BL#B-$-5kv+<$Y1Z;5-CbK5mEL?ZG4^cC+eD`UP$O3>9W7-Ws pqTK)**q?th}C|^BM$HIo(UVgW?B^w0N>kr&U{{ Date: Tue, 23 Jul 2013 12:14:07 -0700 Subject: [PATCH 149/385] featurizer cleanup --- BIDMach.jar | Bin 172601 -> 172962 bytes src/main/scala/BIDMach/Featurizer.scala | 12 ++++++++---- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 7efd01a0968da54bd74e71ad93c42d7f5dcc9142..a492db863333b1ff355a0c694674140071bbf303 100755 GIT binary patch delta 47064 zcmZU)LzpE@v;JNB<( zeO{?Q=b94I`OekFIi&AV((a1^(WFi|26*R(s<9CeIWlibp$V)QMziGWx|dMZ*-fXZ z${SYn#9R<}@s=G$G2A)PAJkk)fG^v__pT&hEpGJSPZ18BmGPpb59R9^kSaeMjo_Ns zhp_%p9mnnk{GMkTAxfvaua%pI!9>j!ZkkEG5co08%ZqVqFM2m>=KU9!>bI8AeQ3P7g^yRQ)k9>2`U88(#FIH% 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zK}>#44{Kx!N&pr?D>Bs41ibDLD*2yZ$aSl zc1TPxVg?A~&p}6=0U`i#a)Eg>K;(ak|2vjV_#g2D9nYp{DFW f(ekgx9HM_3buOSdZAct&$S)8&Y==AORrCJ=EsQZs diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 1656be6e..8b0dc12b 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -30,10 +30,13 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { } if (day == 31) { val dx = Dict.treeFlush(dd) - val (sv, iv) = sortdown2(dx.counts) - val dxx = Dict(dx.cstr(iv), sv) - saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) - saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) + if (dx != null) { + val (sv, iv) = sortdown2(dx.counts) + val dxx = Dict(dx.cstr(iv), sv) + saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) + saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) + println("%04d-%02d" format (year,month)) + } } } } @@ -108,6 +111,7 @@ class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { saveIMat(opts.fromMonthDir(d)+dictname, dx.grams) saveDMat(opts.fromMonthDir(d)+wcountname, dx.counts) } + println("%04d-%02d" format (year,month)) } } } From 545fa384866acb988d0101e4abc1afa8756748f1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 13:46:49 -0700 Subject: [PATCH 150/385] featurizer cleanup --- BIDMach.jar | Bin 172962 -> 172962 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index a492db863333b1ff355a0c694674140071bbf303..e4465a009f43096e335de2dbb8906169ccd49e94 100755 GIT binary patch delta 38 ucmZ2E}j5yW)=|!4h{~6tGSIltvrldd6=|onXcw;x2$E#R09Cg#|qB? delta 30 mcmZ2uIcyJFiJH_wMsE=m12^uWjdI+-LjS`Qw;#Tj|%Jn From 99009d7e5e309c4f9c9b48cb26d3cd2131afec0d Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 13:55:57 -0700 Subject: [PATCH 151/385] featurizer cleanup --- BIDMach.jar | Bin 172962 -> 172901 bytes src/main/scala/BIDMach/Featurizer.scala | 8 ++++++++ 2 files changed, 8 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a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 8b0dc12b..9c634f95 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -472,12 +472,14 @@ object TwitterScanner extends Scanner { case Iuser => state = InsideUser case Itstart => state = InsideText case Irstart => state = InsideRetweet + case _ => {} } case InsideUser => tok match { case Iistart => state = InsideUserId case Irstart => state = InsideRetweet case Iuend => state = InsideStatus + case _ => {} } case InsideUserId => if (tok == Iiend) { @@ -523,16 +525,19 @@ object TwitterScanner extends Scanner { tok match { case Isstart => state = InsideStatusL2 case Irend => state = InsideStatus + case _ => {} } case InsideStatusL2 => tok match { case Iuser => state = InsideUserL2 case Itstart => state = InsideTextL2 + case _ => {} } case InsideUserL2 => tok match { case Iistart => state = InsideUserIdL2 case Iuend => state = InsideStatusL2 + case _ => {} } case InsideUserIdL2 => tok match { @@ -545,8 +550,11 @@ object TwitterScanner extends Scanner { tok match { case Itend => state = InsideStatusL2 case Iuser => state = InsideUserL2 + case _ => {} } + case _ => {} } + } i += 1 } From d6a733c8aaf33f4134f2f67e0a4b2c39af6918db Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 14:08:14 -0700 Subject: [PATCH 152/385] featurizer cleanup --- BIDMach.jar | Bin 172901 -> 172997 bytes src/main/scala/BIDMach/Featurizer.scala | 2 ++ 2 files changed, 2 insertions(+) diff --git a/BIDMach.jar b/BIDMach.jar index 1ecf876ac5a0da53bdb037af9ce111dac96a3cbb..7b8b2565a64fde0fbe3da9f6d1f2cae29e4aa19a 100755 GIT binary patch delta 46706 zcmZ^~Q*YN+fG)vI$E)9+jhF+q+=T^?3f+neEW=Z@&9{_Gw?mvkd2a|rF{Qf}(;Q_b5Ly64E>tyL8dZQJ~ z2^R%L`dfzV4?Gk`O8fh(o|a41-TCG{;!gs4$Z+YUs2qEh2zgUW6}io*e|^!b$>m5? zZiGgcXV0?jQE#vrchWFLoF`&KqZ_%a(4ZOJ2RR_ViQc7*yLU0p{6aAIS>>Xz)@_rZ zl8my;^)<<#W2qaiZuKN;_O$Gn-U!BAK?J=7 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opts:Featurizer.Options = new Featurizer.Options) { if (dx != null) { val (sv, iv) = sortdown2(dx.counts) val dxx = Dict(dx.cstr(iv), sv) + val fd = new File(opts.fromMonthDir(d)) + if (!fd.exists) fd.mkdirs saveBMat(opts.fromMonthDir(d)+dictname, BMat(dxx.cstr)) saveDMat(opts.fromMonthDir(d)+wcountname, dxx.counts) println("%04d-%02d" format (year,month)) From dd604266f100bdcbcf4c31a52bc53364d25ce937 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 14:10:35 -0700 Subject: [PATCH 153/385] featurizer cleanup --- BIDMach.jar | Bin 172997 -> 172792 bytes src/main/scala/BIDMach/Featurizer.scala | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 7b8b2565a64fde0fbe3da9f6d1f2cae29e4aa19a..301169de446247250fe75516b3dfbb82237f7b57 100755 GIT binary patch delta 7721 zcmYkBWmr^g)bE)YnxUn;lu$aPb3{P8Q$o6xuAw`I?rx-8x`qZx2?^>QsqLAZiOs6~GJhuWuYj*3w-In8WxV zRnrC#M0-wm&DVMt!El8KC#ST>05#EmT*4 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zpH*rODC8NhazXab2+0K*JmXg`NbVW*dH;UF{}~w1O;G8&RxlkpJRu+S5`LBk5_z7% zk^k?E$p5gG|8IUAh<~z%dmup4IRCu%|I2~!9|({b^*=Trs;`$LC;-483;=)v@PDsO zI86bFjrO@pDE+@bL>mAg`M+}jcd8)xX)KTs4lMw2fhf)4UkX5A5S9b{rT`>`1o;R` z;UXu4>lT98kjy+lDVopa#@v5|tS>0t1W5cUP(v97^`D5o&$l@v0H78CdRG4fem1gf diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 27ce1820..bd4b398e 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -458,8 +458,8 @@ object TwitterScanner extends Scanner { var i = 0 while (i < len) { val tok = idata.data(i)-1 - if (tok+1 >0) println(dict(tok)+ " " + state) - else println("num " +(-(tok+1))+ " " + state) +// if (tok+1 >0) println(dict(tok)+ " " + state) +// else println("num " +(-(tok+1))+ " " + state) if (tok == Isend) { state = OutsideStatus } else { From e4cfaa92dfcb9a257b71bc5fc73afd6954753bef Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 14:49:30 -0700 Subject: [PATCH 154/385] featurizer cleanup --- BIDMach.jar | Bin 172792 -> 172962 bytes src/main/scala/BIDMach/Featurizer.scala | 36 +++++++++++++++--------- 2 files changed, 23 insertions(+), 13 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 301169de446247250fe75516b3dfbb82237f7b57..6f3643712b0e98b3c4baa42373748f6396be4143 100755 GIT binary patch delta 26637 zcmZs>W0WS{vaVgW?dq~^+qP}nc)D!cwrzLWwz^!^W&7**-Rs-qjC0nXoRN{4@h8U> zcgz{_G7M8V3InGo0}6%)1O){JMCYCWX8=Oy9$?pE2OJ*p*Gelu1|dsx%moH-BZ>s> z0shCe7X@qswzJ$9)TR&(+yaUv8S|&`5EKYV5E2OJ|BRKk5A#3YLZ?Z`1LFWpwJfzI zThPRa=%l10N}z;cHmV?!FeGuJIkIiZ&r+xDxBeLK2R%^`Sx4UF?|$ql+>E|>nm5%n zN2DFDXRxrGbf5V9f8W0{0GZ$Z6rx+tEs9bbLW8?i8_=6&B7i+HmN+4|;AF1L3N>rz zzz$VDgAwr@ua#Meb%e854_*W?+1ilwP4(L|$n8)_O)+bjpG9J67=wa~jdyJY~nT(J^5KjTd& z^*7O6NI!7&HKaVVg?t{x2Eas4`Mq42A1iw9> z-A5Ceh(9N7(g(!QG2;PdoGU?Hm*Jh3irp4waEM#4w>eS!DD*aSjnN$4 zlY~Q$ssQC@l9?0g;xMr)Cc0!;)tamN#AFx z1D=B8nk8Etwq?Uq$Qi1Ag^4fR9QmlMzQG?#zTrBJe0~MQ9*@)LqYe1rA%L+;15z96 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zI8q;(k}IDqlu+ALF!@tv$W$4#*FwWn0>TuQ;cRwn=EkBBq3jL=f%E1$q4{C4#hXkd}_{V3Kj7Jjg zlP3!UG%n_UN&c;B`Y3GrujlgY35pMG&iG&Gza>qX{{;kr8bDB`Ebt4ce-aq?@6i9% zafJTN1mlD85dN`!$OPm5b^G69b^oPtME(cb`w0Dq=1HULADTI|e{7FpcDR50?cb6_ z|E1xEDrSNC|JL>YBodw!5}yCZzJ#{02@KnwString = dirMap(mainDir + "%04d/") def fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") def fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") @@ -405,13 +422,6 @@ object Featurizer { var toBiFeats:(Int)=>String = (n:Int) => ("bifeats%02d.lz4" format n) var toTriFeats:(Int)=>String = (n:Int) => ("trifeats%02d.lz4" format n) var toUserids:(Int)=>String = (n:Int) => ("userids%02d.lz4" format n) - var localDict:String = "dict.gz" - var biDict:String = "bdict.lz4" - var triDict:String = "tdict.lz4" - var usrDict:String = "usrdict.lz4" - var biCnts:String = "bcnts.lz4" - var triCnts:String = "tcnts.lz4" - var usrCnts:String = "usrcnts.lz4" var nstart:Int = encodeDate(2011,11,22) var nend:Int = encodeDate(2013,6,31) var threshold = 10 From 8ee1a6e22d02c415a9e31ad5690c63e4dfb1bf09 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 23 Jul 2013 15:11:38 -0700 Subject: [PATCH 155/385] featurizer cleanup --- BIDMach.jar | Bin 172962 -> 172993 bytes src/main/scala/BIDMach/Featurizer.scala | 6 +++--- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 6f3643712b0e98b3c4baa42373748f6396be4143..644c919091c00e15cde22df54d82b43de8a54424 100755 GIT binary patch delta 10110 zcmY+pbzECp(>9z0cL-M8-L<&8Q=quJ6!!wbgL?_?MT$GLK!M^;acR+_#i2lpywG!h z=X*~6*n8%hnQLb4to&wWPthQ1&mbzghB6#H9sn5`8Q|)djBW~Y^$U5^{00~m{UpK6 z!5}&qb~O;8l`00<34DTD*JFV~@Xt0N);~5B7;7d7t5rVfwZQ^w!~qZN10 zU#f_0wM#V~lb4Vc0rVkneoJ2zdvX-ShEOOZkg-akr^~D$`v;WS({NrVO4(D^jW&!W zZWa16X(B62a&gJ8UV2d>39?x)GmGAY?I7e+`Db>gBn7@%FZrT4=G=!WrMwq$#4* zk&S&_hkapf;zFj*g#;$*&5P|?w#Q{pPl{R*sMuGz;Qpg62Y_bAUO`^j?oWGi4?Egu z@Rl`{z8LvY!IrHsz$@KLms6+8Uy8>Hl^@`)(kLiUO5>JTbgPHaZoKOKAy^sW{(98& 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class Featurizer(val opts:Featurizer.Options = new Featurizer.Options) { map = dict --> alldict } val idata = loadIMat(fn) - val (nuni, nbi, ntri, nusers) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx, userids) + val (nuni, nbi, ntri, nstatuses) = scanner.scan(opts, dict, idata, unigramsx, bigramsx, trigramsx, userids) val unifeats = mkUniFeats(map, unigramsx, nuni) val bifeats = mkGramFeats(map, bigramsx, nbi, allbdict) val trifeats = mkGramFeats(map, trigramsx, ntri, alltdict) saveIMat(opts.toDayDir(d) + opts.toUniFeats(ifile), unifeats) saveIMat(opts.toDayDir(d) + opts.toBiFeats(ifile), bifeats) saveIMat(opts.toDayDir(d) + opts.toTriFeats(ifile), trifeats) - saveIMat(opts.toDayDir(d) + opts.toUserids(ifile), userids(nusers, ?)) + saveIMat(opts.toDayDir(d) + opts.toUserids(ifile), userids(nstatuses, ?)) if (ifile == 23) print(".") } } From 983ffbec7266ce1851bcd17d1d9d184266d0d5e0 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 24 Jul 2013 17:56:10 -0700 Subject: 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z6hy5xoyQ7^GN!(yCguLM7HQ2ZOH_(N3uk3!TjFQn20 zlA(+SO|UVg6lG*Wuh*J10;YLJ3%He^yYEP+MS>String], nstart0:Int, nend:Int, transpose:IMat=null, compressed:Int=0, - override val opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { +class FilesDataSource(override val opts:FilesDataSource.Options = new FilesDataSource.Options) extends DataSource(opts) { var sizeMargin = 0f var blockSize = 0 var fileno = 0 - var colno = 0 + var rowno = 0 + var nstart = 0 + var fnames:List[(Int)=>String] = null var omats:Array[Mat] = null var matqueue:Array[Array[Mat]] = null var ready:IMat = null - def init = { - var nstart = nstart0 + def initbase = { + nstart = opts.nstart + fnames = opts.fnames sizeMargin = opts.sizeMargin blockSize = opts.blockSize while (!fileExists(fnames(0)(nstart))) {nstart += 1} - fileno = nstart // Number of the current output file - colno = 0 // Column number in the current output file - omats = new Array[Mat](fnames.size) - matqueue = new Array[Array[Mat]](fnames.size) // Queue of matrices for each output matrix - ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue - for (i <- 0 until fnames.size) { - var mm = HMat.loadMat(fnames(i)(nstart), compressed) - if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) mm = mm.t - omats(i) = mm match { - case mm:SMat => SMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) - case mm:SDMat => SDMat(mm.nrows, blockSize, (mm.nnz * sizeMargin * blockSize / mm.ncols).toInt) - case _ => mm.zeros(mm.nrows, blockSize) - } - matqueue(i) = new Array[Mat](opts.lookahead) + fileno = nstart // Number of the current output file + rowno = 0 // row number in the current output file + matqueue = new Array[Array[Mat]](opts.lookahead) // Queue of matrices for each output matrix + ready = -iones(opts.lookahead, 1) // Numbers of files currently loaded in queue + for (i <- 0 until opts.lookahead) { + matqueue(i) = new Array[Mat](fnames.size) } for (i <- 0 until opts.lookahead) { Actor.actor { @@ -80,36 +74,49 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo } } + def init = { + initbase + omats = new Array[Mat](fnames.size) + for (i <- 0 until fnames.size) { + var mm = HMat.loadMat(fnames(i)(nstart)) + if (opts.dorows) { + omats(i) = mm.zeros(blockSize, mm.ncols) + } else { + omats(i) = mm.zeros(mm.nrows, blockSize) + } + } + } + def next:Array[Mat] = { - val filex = fileno % opts.lookahead var donextfile = false - var todo = 0 - while (ready(filex) < fileno) Thread.`yield` - for (i <- 0 until fnames.size) { - val matq = matqueue(i)(filex) - if (matq != null) { - val ccols = math.min(colno + blockSize, matq.ncols) - omats(i) = matq.colslice(colno, ccols, omats(i)) - todo = blockSize - ccols + colno - } - } - if (todo > 0) { - var done = false - while (!done && fileno+1 < nend) { - val filey = (fileno+1) % opts.lookahead - while (ready(filey) < fileno+1) Thread.`yield` - if (matqueue(0)(filey).asInstanceOf[AnyRef] != null && matqueue(0)(filey).ncols >= todo) { - for (i <- 0 until fnames.size) { - val matq = matqueue(i)(filey) - omats(i) = omats(i) \ matq.colslice(0, todo, null) - } - done = true + var todo = blockSize + while (todo > 0 && fileno < opts.nend) { + var nrow = rowno + val filex = fileno % opts.lookahead + while (ready(filex) < fileno) Thread.`yield` + for (i <- 0 until fnames.size) { + val matq = matqueue(filex)(i) + if (matq != null) { + val matqnr = if (opts.dorows) matq.nrows else matq.ncols + nrow = math.min(rowno + todo, matqnr) + if (opts.dorows) { + omats(i) = matq.rowslice(rowno, nrow, omats(i), blockSize - todo) + } else { + omats(i) = matq.colslice(rowno, nrow, omats(i), blockSize - todo) + } + if (matqnr == nrow) donextfile = true + } else { + donextfile = true } - fileno += 1 } - colno = todo - } else { - colno += blockSize + todo -= nrow - rowno + if (donextfile) { + fileno += 1 + rowno = 0 + donextfile = false + } else { + rowno = nrow + } } omats } @@ -131,13 +138,12 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo def prefetch(ifile:Int) = { val ifilex = ifile % opts.lookahead ready(ifilex) = ifile - opts.lookahead - for (inew <- ifile until nend by opts.lookahead) { + for (inew <- ifile until opts.nend by opts.lookahead) { while (ready(ifilex) >= fileno) Thread.`yield` val fexists = fileExists(fnames(0)(inew)) && (rand(1,1).v < opts.sampleFiles) for (i <- 0 until fnames.size) { - matqueue(i)(ifilex) = if (fexists) { - val tmp = HMat.loadMat(fnames(i)(inew), compressed, matqueue(i)(ifilex)) - if (transpose.asInstanceOf[AnyRef] != null && transpose(i) == 1) lazyTranspose(tmp) else tmp + matqueue(ifilex)(i) = if (fexists) { + HMat.loadMat(fnames(i)(inew), matqueue(ifilex)(i)) } else null // println("%d" format inew) } @@ -146,16 +152,144 @@ class FilesDataSource(fnames:List[(Int)=>String], nstart0:Int, nend:Int, transpo } def hasNext:Boolean = { - (fileno < nend) + (fileno < opts.nend) } } -object FilesDataSource { - class Options extends DataSource.Options { - var lookahead = 8 - var sampleFiles = 1.0f +class SFilesDataSource(override val opts:SFilesDataSource.Options = new SFilesDataSource.Options) extends FilesDataSource(opts) { + + var inptrs:IMat = null + var offsets:IMat = null + + override def init = { + initbase + var totsize = sum(opts.fcounts).v + omats = new Array[Mat](1) + omats(0) = SMat(totsize, opts.blockSize, opts.sBlockSize) + inptrs = izeros(opts.fcounts.length, 1) + offsets = 0 on cumsum(opts.fcounts) } + def binFind(i:Int, mat:Mat):Int = { + val imat = mat.asInstanceOf[IMat] + val nrows = mat.nrows + var ibeg = 0 + var iend = nrows + while (ibeg < iend) { + val imid = (iend + ibeg)/2 + if (i > imat(imid, 0)) { + ibeg = imid+1 + } else { + iend = imid + } + } + iend + } + + def sprowslice(inmat:Array[Mat], rowno:Int, nrow:Int, omat0:Mat, done:Int):Mat = { + val omat = omat0.asInstanceOf[SMat] + val ioff = Mat.ioneBased + var idone = done + var innz = omat.nnz + val lims = opts.fcounts + val nfiles = opts.fcounts.length + var j = 0 + while (j < nfiles) { + inptrs(j, 0) = binFind(rowno, inmat(j)) + j += 1 + } + var irow = rowno + while (irow < nrow) { + var j = 0 + while (j < nfiles) { + val mat = inmat(j).asInstanceOf[IMat] + var k = inptrs(j) + while (k < mat.nrows && mat(k, 0) < irow) k += 1 + inptrs(j) = k + val xoff = innz - k + val yoff = offsets(j) + ioff + while (k < mat.nrows && mat(k, 0) == irow && mat(k, 1) < lims(j)) { + omat.ir(xoff + k) = mat(k, 1) + yoff + omat.data(xoff + k) = mat(k, 2) + k += 1 + } + innz = xoff + k + inptrs(j) = k + j += 1 + } + irow += 1 + idone += 1 + omat.jc(idone) = innz + ioff + } + omat.nnz0 = innz + omat + } + + def spmax(matq:Array[Mat]):Int = { + var maxv = 0 + for (i <- 0 until matq.length) { + if (matq(i) != null) { + val mat = matq(i).asInstanceOf[IMat] + maxv = math.max(maxv, mat(mat.nrows-1,0)) + } + } + maxv + } + + def fillup(mat:Mat, todo:Int) = { + val smat = mat.asInstanceOf[SMat] + val ncols = mat.ncols + var i = ncols - todo + val theend = smat.jc(i) + while (i < ncols) { + i += 1 + smat.jc(i) = theend + } + } + + def flushMat(mat:Mat) = { + val smat = mat.asInstanceOf[SMat] + smat.nnz0 = 0 + smat.jc(0) = Mat.ioneBased + } + + override def next:Array[Mat] = { + + var donextfile = false + var todo = blockSize + flushMat(omats(0)) + while (todo > 0 && fileno < opts.nend) { + var nrow = rowno + val filex = fileno % opts.lookahead + while (ready(filex) < fileno) Thread.`yield` + val spm = spmax(matqueue(filex)) + nrow = math.min(rowno + todo, spm) + val matq = matqueue(filex) + if (matq(0) != null) { + omats(0) = sprowslice(matq, rowno, nrow, omats(0), blockSize - todo) + if (spm == nrow) donextfile = true + } else { + donextfile = true + } + todo -= nrow - rowno + if (donextfile) { + fileno += 1 + rowno = 0 + donextfile = false + } else { + rowno = nrow + } + } + if (todo > 0) { + fillup(omats(0), todo) + } + omats + } + +} + +object FilesDataSource { + def encodeDate(yy:Int, mm:Int, dd:Int, hh:Int) = (372*yy + 31*mm + dd)*24 + hh def decodeDate(n:Int):(Int, Int, Int, Int) = { @@ -175,12 +309,42 @@ object FilesDataSource { } def filexx = sampleFun("/disk%02d/twitter/tokenized/%04d/%02d/%02d/tweet%02d.gz") + + class Options extends DataSource.Options { + val localDir = "/disk%02d/twitter/featurized/%04d/%02d/%02d/" + def fnames:List[(Int)=>String] = List(sampleFun(localDir + "unifeats%02d.lz4"), + sampleFun(localDir + "bifeats%02d.lz4"), + sampleFun(localDir + "trifeats%02d.lz4")) + var lookahead = 8 + var sampleFiles = 1.0f + var nstart:Int = encodeDate(2011,11,22,0) + var nend:Int = encodeDate(2013,6,31,0) + var dorows:Boolean = true + } +} + +object SFilesDataSource { + class Options extends FilesDataSource.Options { + override val localDir = "/disk%02d/twitter/featurized/%04d/%02d/%02d/" + override def fnames:List[(Int)=>String] = List(FilesDataSource.sampleFun(localDir + "unifeats%02d.lz4"), + FilesDataSource.sampleFun(localDir + "bifeats%02d.lz4"), + FilesDataSource.sampleFun(localDir + "trifeats%02d.lz4")) + var fcounts = icol(10000,20000,100000) + lookahead = 8 + sampleFiles = 1.0f + nstart = FilesDataSource.encodeDate(2011,11,22,0) + nend = FilesDataSource.encodeDate(2013,6,31,0) + blockSize = 10000 + var sBlockSize = 500000 + } } object DataSource { class Options { + var blockSize = 10000 var sizeMargin = 5f + } } From 88b7eb5016c576c0aa25945db4880e7d6ba83557 Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 25 Jul 2013 09:18:41 -0700 Subject: [PATCH 157/385] SFilesDataSource --- BIDMach.jar | Bin 181962 -> 181924 bytes src/main/scala/BIDMach/DataSource.scala | 4 ---- src/main/scala/BIDMach/Featurizer.scala | 2 +- 3 files changed, 1 insertion(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 7ef44a13661327f0b25ce86b8940a06cbb8be649..02a09f4880b78eb2599862c795d317e31a83b0e5 100755 GIT binary patch delta 30468 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initbase = { nstart = opts.nstart fnames = opts.fnames - sizeMargin = opts.sizeMargin blockSize = opts.blockSize while (!fileExists(fnames(0)(nstart))) {nstart += 1} fileno = nstart // Number of the current output file @@ -254,7 +253,6 @@ class SFilesDataSource(override val opts:SFilesDataSource.Options = new SFilesDa } override def next:Array[Mat] = { - var donextfile = false var todo = blockSize flushMat(omats(0)) @@ -341,10 +339,8 @@ object SFilesDataSource { object DataSource { class Options { - var blockSize = 10000 var sizeMargin = 5f - } } diff --git a/src/main/scala/BIDMach/Featurizer.scala b/src/main/scala/BIDMach/Featurizer.scala index 0e189f41..d13dc9e8 100755 --- a/src/main/scala/BIDMach/Featurizer.scala +++ b/src/main/scala/BIDMach/Featurizer.scala @@ -404,7 +404,7 @@ object Featurizer { val biCnts:String = "bcnts.lz4" val triCnts:String = "tcnts.lz4" val usrCnts:String = "usrcnts.lz4" - def mainDir = "/big/" + tokDirName + def mainDir = "/big/twitter/tokenized/" def mainDict:String = mainDir + "all" + localDict def mainCounts:String = mainDir + "all" + localCount def mainBDict:String = mainDir + "all" + biDict From 7142f2c946da86af0d7fa65409c8e9140594869a Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 25 Jul 2013 09:29:34 -0700 Subject: [PATCH 158/385] Featurizer fixes --- BIDMach.jar | Bin 181924 -> 181989 bytes src/main/scala/BIDMach/Featurizer.scala | 5 +++-- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 02a09f4880b78eb2599862c795d317e31a83b0e5..af0052e4fcc2a6228eca424a09af781c60806b49 100755 GIT binary patch delta 15755 zcmZ|0WmH^2(=G~wdvJ%~?(V_eEm&}OcLsO2!3nOx-JRf0aCg_>aKd}!e&4<4?jQ41 zRaaN--D`EN>NWio#vts+ARsEqLO^1G!NS6VRmdhF>H{id18f^@!C@-?Nl7w0c+K$@ z;1l5glxF>3;JlFk1kffcI3CE45`fU$Qw#p})6~4v2z~UvZ%9cTvAa$n@X`k!rH1;c$fS5099^MrAIygu#3a zUlOT%s2!tRNoxJI!Ah19YqoMXGjH2G^_vqA^7DH`Hh?z`{l4&*P!vN>mKhNf^1)|# z4P!Fc+98VVZVD%rM*fmhRFSuSbh_Q(Pf8gbL6S~IpCeFSN05e*wZ=4b=4r<$9sjg- 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mainTCounts:String = mainDir + "all" + triCnts def mainUsrDict:String = mainDir + "all" + usrDict def mainUsrCounts:String = mainDir + "all" + usrCnts - def fromYearDir:(Int)=>String = dirMap(mainDir + "%04d/") - def fromMonthDir:(Int)=>String = dirMap(mainDir + "%04d/%02d/") + def fromYearDir:(Int)=>String = dirMap(thisDir + "%04d/") + def fromMonthDir:(Int)=>String = dirMap(thisDir + "%04d/%02d/") def fromDayDir:(Int)=>String = dirxMap("/disk%02d/" + tokDirName + "%04d/%02d/%02d/") def toDayDir:(Int)=>String = dirxMap("/disk%02d/" + featDirName + "%04d/%02d/%02d/") var fromFile:(Int)=>String = (n:Int) => ("tweet%02d.gz" format n) From 7cc4221c66c59c3ef4edd8e634e4d81c61cb664a Mon Sep 17 00:00:00 2001 From: jcanny Date: Thu, 25 Jul 2013 09:39:06 -0700 Subject: [PATCH 159/385] Featurizer fixes --- BIDMach.jar | Bin 181989 -> 181981 bytes src/main/scala/BIDMach/Featurizer.scala | 8 ++++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 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z`wArdZz)_mxV{R&K>c_bO8@Vp1qVm`e?+|gV2Nq~DHx|3zzR 0) { + imin(ii, 0) = centmap(iss(j, ii), 0) - 1 + vmin(ii, 0) = ds(j, ii) + continue = false + } + j += 1 + } + Mat.nflops += 4*j + i += 1 + } + } + + def mindists(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat):(FMat, IMat) = { + val vmin = zeros(nsamps,1) + val imin = izeros(nsamps,1) + mindists(ds, iss, isamps, icenters, vmin, imin) + (vmin, imin) + } + + def pointdiffs(ds:FMat, iss:IMat, vd:FMat):FMat = { + val deltas = zeros(nsamps,1) // Array to hold improvements in distance over vd + var ipn = 0 + while (ipn < nsamps) { // Calculate improvements over vd for new candidate centers + var j = 0 + while (j < nsamps && ds(j,ipn) < vd(ipn,0)) { // using sorted order of ds + deltas(iss(j,ipn),0) = deltas(iss(j,ipn),0) + (ds(j,ipn) - vd(ipn,0)) + j += 1 + } + Mat.nflops += 16*j + ipn += 1 + } + deltas + } + def run = { flip val dd = dists(a) val ft1 = gflop println("distance in %f seconds, %f gflops" format (ft1._2,ft1._1)) flip - val (ds, iss) = sort2(dd,1) - val rr = rand(nsamps,1) - val (rs,irs) = sort2(rr,1) - val icenters = irs(0->ncenters,0) - val (vdists, imin) = mini2(dd(?,icenters),2) - val vtmp = vdists.copy - val itmp = imin.copy - Mat.nflops += math.round(math.log(size(dd,1))/math.log(2.0))*size(dd,1)*size(dd,2) + val (ds, iss) = sort2(dd,1) // Sort the distances + Mat.nflops += math.round(math.log(size(ds,1))/math.log(2.0))*size(ds,1)*size(ds,2) val ft2 = gflop println("sorts in %f seconds, %f gcomps" format (ft2._2,ft2._1)) + val rr = rand(nsamps,1) // Get a random permutation for the centers + val (rs,irs) = sort2(rr,1) + val icenters = irs(0->ncenters,0) // Pick centers from the permutation + val ics = icol(0->nsamps) + val (vdists, imin) = mindists(ds, iss, ics, icenters) // Get min distances from points to centers, and best center ids println("ipass=0, dist=%f" format mean(vdists,1).v) flip + val vtmp = vdists.copy + val itmp = imin.copy var nchanged = 1 var ipass = 0 var totchanged = 0 - while (nchanged > 0 && ipass 0 && ipass < options.maxpasses) { // Keep making passes until no improvements ipass += 1 nchanged = 0 - var ipc = 0 - while (ipc < ncenters) { - vtmp <-- vdists - itmp <-- imin - val deltas = zeros(nsamps,1) - val ifix = find(imin == ipc) - val tcents = icenters((0->ipc) \ ((ipc+1)->ncenters),0) - val (vm, im) = mini2(dd(ifix, tcents),2) - Mat.nflops += length(ifix)*length(tcents) - im ~ im + (im >= ipc) - vtmp(ifix,0) = vm - itmp(ifix,0) = im - var ipn = 0 - while (ipn < nsamps) { - var j = 0 - while (j < nsamps && ds(j,ipn) < vtmp(ipn,0)) { - deltas(iss(j,ipn),0) = deltas(iss(j,ipn),0) + ds(j,ipn) - vtmp(ipn,0) - j += 1 - } - Mat.nflops += 2*j - ipn += 1 - } - val (vs,is) = mini2(deltas) - Mat.nflops += 2*nsamps - if (vs.v + sum(vtmp).v < sum(vdists).v && is.v != icenters(ipc,0)) { - icenters(ipc,0) = is.v - var j = 0 - while (j < nsamps) { - if (dd(j,is.v) < vtmp(j,0)) { - vdists(j,0) = dd(j,is.v) - imin(j,0) = ipc - } else { - vdists(j,0) = vtmp(j,0) - imin(j,0) = itmp(j,0) } - j += 1 - } + var ipc = 0 + while (ipc < ncenters) { // Try to improve this center (ipc) + vtmp <-- vdists // Copy distances + val ifix = find(imin == ipc) // Find points in cluster with this center + val tcents = icenters((0->ipc) \ ((ipc+1)->ncenters),0) // List of centers minus the current one + mindists(ds, iss, ifix, tcents, vtmp, itmp) // vtmp holds distances to centers minus the current center + val deltas = pointdiffs(ds, iss, vtmp) // deltas holds improvements for each center over vtmp + val (vs,is) = mini2(deltas) // Find best new center + if (vs.v + sum(vtmp).v < sum(vdists).v && is.v != icenters(ipc,0)) { // Is the new center better than the old (and not equal to it)? + icenters(ipc,0) = is.v // If yes, update the center list + mindists(ds, iss, ics, icenters, vdists, imin) // Compute new distances and centers nchanged += 1 - Mat.nflops += 2*nsamps if (options.verb) println("ipass=%d, ipc=%d, dist=%f, nchanged=%d" format (ipass, ipc, mean(vdists,1).v, nchanged)) } ipc += 1 @@ -100,7 +118,7 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { } val (vdists2, imin2) = mini2(dd(?,icenters),2) val t3=gflop - println("optim in %f secs, %f gsamps, passes=%d, dist=%f, verify=%f, totchanged=%d" format (t3._2, t3._1, ipass, mean(vdists).v, mean(vdists2,1).v, totchanged)) + println("optim in %f secs, %f gflops, passes=%d, dist=%f, verify=%f, totchanged=%d" format (t3._2, t3._1, ipass, mean(vdists).v, mean(vdists2,1).v, totchanged)) } } @@ -108,7 +126,7 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { object PAMmodel { class Options { var ncenters = 1000 - var maxpasses = 5 + var maxpasses = 10 var verb = false } From 957f305ef844a57fbe13f60685185d22710f40d1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 28 Nov 2012 17:48:05 -0800 Subject: [PATCH 026/385] tweaks to PAM clustering --- BIDMach.jar | Bin 110468 -> 114155 bytes src/main/scala/BIDMach/Clustering.scala | 176 +++++++++++++++++------- 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PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { var nfeats = 0 var nsamps = 0 var ncenters = 0 + var ntrys = 0 val options = opts + var maxdepth = 0 + var nspills = 0 def init(a0:FMat) = { a = a0 nfeats = size(a0,2) nsamps = size(a0,1) - ncenters = options.ncenters + ncenters = options.ncenters + ntrys = options.ntrys } def dists(a:FMat):FMat = { - val dd = a xT a; + val dd = if (Mat.hasCUDA > 0) a xG a.t else a xT a; val d1 = getdiag(dd) dd ~ dd * 2.0f dd ~ d1 - dd @@ -29,45 +33,90 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { dd } - def mindists(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat, vmin:FMat, imin:IMat) = { + def mindists(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat, vmin:DMat, imin:IMat) = { val ncache = size(iss,1) val centmap = accum(icenters, icol(1 to length(icenters)), size(ds,2), 1) var i = 0 while (i < length(isamps)) { - val ii = isamps(i, 0) + val ii = isamps(i) var continue = true var j = 0 while (j < ncache && continue) { - if (centmap(iss(j, ii), 0) > 0) { - imin(ii, 0) = centmap(iss(j, ii), 0) - 1 - vmin(ii, 0) = ds(j, ii) + if (centmap(iss(j, ii)) > 0) { + imin(ii) = centmap(iss(j, ii)) - 1 + vmin(ii) = ds(j, ii) continue = false } j += 1 } + maxdepth = math.max(maxdepth, j) + if (j > 10*nsamps/ncenters) nspills += 1 Mat.nflops += 4*j i += 1 } } - def mindists(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat):(FMat, IMat) = { - val vmin = zeros(nsamps,1) + def mindists(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat):(DMat, IMat) = { + val vmin = dzeros(nsamps,1) val imin = izeros(nsamps,1) mindists(ds, iss, isamps, icenters, vmin, imin) (vmin, imin) } - def pointdiffs(ds:FMat, iss:IMat, vd:FMat):FMat = { - val deltas = zeros(nsamps,1) // Array to hold improvements in distance over vd - var ipn = 0 - while (ipn < nsamps) { // Calculate improvements over vd for new candidate centers + def mindists2(ds:FMat, iss:IMat, isamps0:IMat, icenters:IMat, vmin:FMat, imin:IMat) = { + val ncache = size(iss,2) + val centmap = accum(icenters, icol(1 to length(icenters)), size(ds,1), 1) + var isamps = isamps0 + var idepth = 0 + while (isamps.length > 0) { + val isx = centmap(iss(isamps, idepth), 0) + val ifound = find(isx > 0) + imin(isamps(ifound)) = isx(ifound) - 1 + vmin(isamps(ifound)) = ds(isamps(ifound), idepth) + Mat.nflops += 4*isamps.length + isamps = isamps(find(isx == 0)) + idepth += 1 + maxdepth = math.max(maxdepth, idepth) + } + } + + def mindists2(ds:FMat, iss:IMat, isamps:IMat, icenters:IMat):(FMat, IMat) = { + val vmin = zeros(nsamps,1) + val imin = izeros(nsamps,1) + mindists2(ds, iss, isamps, icenters, vmin, imin) + (vmin, imin) + } + + def pointdiffs(ds:FMat, iss:IMat, vd:DMat):DMat = { + val deltas = dzeros(nsamps,1) // Array to hold improvements in distance over vd + var i = 0 + while (i < nsamps) { // Calculate improvements over vd for new candidate centers var j = 0 - while (j < nsamps && ds(j,ipn) < vd(ipn,0)) { // using sorted order of ds - deltas(iss(j,ipn),0) = deltas(iss(j,ipn),0) + (ds(j,ipn) - vd(ipn,0)) + while (j < nsamps && ds(j,i) < vd(i)) { // using sorted order of ds + deltas(iss(j,i)) += ds(j,i) - vd(i) j += 1 } + maxdepth = math.max(maxdepth, j) Mat.nflops += 16*j - ipn += 1 + i += 1 + } + deltas + } + + def pointdiffs2(ds:FMat, iss:IMat, vd:FMat):FMat = { + val deltas = zeros(nsamps,1) // Array to hold improvements in distance over vd + var ii = icol(0->nsamps) + var idepth = 0 + while (ii.length > 0) { // Calculate improvements over vd for new candidate centers + ii = ii(find(ds(ii,idepth) < vd(ii,0))) + var j = 0 + while (j < ii.length) { + deltas(iss(ii(j),idepth)) += (ds(ii(j),idepth) - vd(ii(j))) + j += 1 + } + Mat.nflops += 16*j + idepth += 1 + maxdepth = math.max(maxdepth, idepth) } deltas } @@ -76,49 +125,66 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { flip val dd = dists(a) val ft1 = gflop - println("distance in %f seconds, %f gflops" format (ft1._2,ft1._1)) + println("Distances in %f seconds, %f gflops" format (ft1._2,ft1._1)) flip val (ds, iss) = sort2(dd,1) // Sort the distances Mat.nflops += math.round(math.log(size(ds,1))/math.log(2.0))*size(ds,1)*size(ds,2) val ft2 = gflop - println("sorts in %f seconds, %f gcomps" format (ft2._2,ft2._1)) - val rr = rand(nsamps,1) // Get a random permutation for the centers - val (rs,irs) = sort2(rr,1) - val icenters = irs(0->ncenters,0) // Pick centers from the permutation - val ics = icol(0->nsamps) - val (vdists, imin) = mindists(ds, iss, ics, icenters) // Get min distances from points to centers, and best center ids - println("ipass=0, dist=%f" format mean(vdists,1).v) + println("Sort in %f seconds, %f gcomps" format (ft2._2,ft2._1)) + var bestc:IMat = null + var bestv:DMat = null + var besti:IMat = null + var bestvd = Double.MaxValue flip - val vtmp = vdists.copy - val itmp = imin.copy - var nchanged = 1 - var ipass = 0 - var totchanged = 0 - while (nchanged > 0 && ipass < options.maxpasses) { // Keep making passes until no improvements - ipass += 1 - nchanged = 0 - var ipc = 0 - while (ipc < ncenters) { // Try to improve this center (ipc) - vtmp <-- vdists // Copy distances - val ifix = find(imin == ipc) // Find points in cluster with this center - val tcents = icenters((0->ipc) \ ((ipc+1)->ncenters),0) // List of centers minus the current one - mindists(ds, iss, ifix, tcents, vtmp, itmp) // vtmp holds distances to centers minus the current center - val deltas = pointdiffs(ds, iss, vtmp) // deltas holds improvements for each center over vtmp - val (vs,is) = mini2(deltas) // Find best new center - if (vs.v + sum(vtmp).v < sum(vdists).v && is.v != icenters(ipc,0)) { // Is the new center better than the old (and not equal to it)? - icenters(ipc,0) = is.v // If yes, update the center list - mindists(ds, iss, ics, icenters, vdists, imin) // Compute new distances and centers - nchanged += 1 - if (options.verb) println("ipass=%d, ipc=%d, dist=%f, nchanged=%d" format (ipass, ipc, mean(vdists,1).v, nchanged)) - } - ipc += 1 - } - println("ipass=%d, dist=%f, nchanged=%d" format (ipass, mean(vdists,1).v, nchanged)) - totchanged += nchanged + var itry = 0 + while (itry < ntrys) { + println("Try %d" format itry) + val rr = rand(nsamps,1) // Get a random permutation for the centers + val (rs,irs) = sort2(rr,1) + val icenters = irs(0->ncenters,0) // Pick centers from the permutation + val ics = icol(0->nsamps) + val (vdists, imin) = mindists(ds, iss, ics, icenters) // Get min distances from points to centers, and best center ids + println(" pass=0, mean dist=%f" format mean(vdists,1).v) + val vtmp = vdists.copy + val itmp = imin.copy + var nchanged = 1 + var ipass = 0 + var totchanged = 0 + while (nchanged > 0 && ipass < options.maxpasses) { // Keep making passes until no improvements + ipass += 1 + nchanged = 0 + var ipc = 0 + while (ipc < ncenters) { // Try to improve this center (ipc) + vtmp <-- vdists // Copy distances + val ifix = find(imin == ipc) // Find points in cluster with this center + val tcents = icenters((0->ipc) \ ((ipc+1)->ncenters),0) // List of centers minus the current one + mindists(ds, iss, ifix, tcents, vtmp, itmp) // vtmp holds distances to centers minus the current center + val deltas = pointdiffs(ds, iss, vtmp) // deltas holds improvements for each potential center over vtmp + val (vs,is) = mini2(deltas) // Find best new center + if (vs.v + sum(vtmp).v < sum(vdists).v && is.v != icenters(ipc,0)) { // Is the new center better than the old (and not equal to it)? + icenters(ipc) = is.v // If yes, update the center list + mindists(ds, iss, ics, icenters, vdists, imin) // Compute new distances and centers + nchanged += 1 + if (options.verb) println(" pass=%d, ipc=%d, mean dist=%f, nchanged=%d" format (ipass, ipc, mean(vdists,1).v, nchanged)) + } + ipc += 1 + } + println(" pass=%d, mean dist=%f, nchanged=%d, nspills=%d" format (ipass, mean(vdists,1).v, nchanged, nspills)) + totchanged += nchanged + } + val mv = mean(vdists).v + if (mv < bestvd) { + bestc = icenters + bestv = vdists + besti = imin + bestvd = mv + } + itry += 1 } - val (vdists2, imin2) = mini2(dd(?,icenters),2) val t3=gflop - println("optim in %f secs, %f gflops, passes=%d, dist=%f, verify=%f, totchanged=%d" format (t3._2, t3._1, ipass, mean(vdists).v, mean(vdists2,1).v, totchanged)) + val vdists2 = mini(dd(?,bestc),2) + println("Optimum in %f secs, %f gflops, mean dist=%f, verify=%f, maxdepth=%d, nspills=%d" format + (t3._2, t3._1, bestvd, mean(DMat(vdists2),1).v, maxdepth, nspills)) } } @@ -127,14 +193,18 @@ object PAMmodel { class Options { var ncenters = 1000 var maxpasses = 10 + var ntrys = 3 var verb = false } def main(args:Array[String]) = { + Mat.checkCUDA val nfeats = args(0).toInt val nsamps = args(1).toInt val ncenters = args(2).toInt - val a = rand(nsamps, nfeats) + val c = rand(ncenters, nfeats) + val a = rand(nsamps, nfeats)*0.3f + for (i <- 0 until nsamps by ncenters) {val il = math.min(i+ncenters, nsamps); a(i->il,?) += c} val cc = new PAMmodel cc.options.ncenters = ncenters cc.init(a) From ce28555792d1c691ea5c7afc4c25b27f333c6112 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 5 Dec 2012 17:11:41 -0800 Subject: [PATCH 027/385] tweaks to PAM clustering --- src/main/scala/BIDMach/Clustering.scala | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index a283600c..d17230ec 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -23,7 +23,7 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { } def dists(a:FMat):FMat = { - val dd = if (Mat.hasCUDA > 0) a xG a.t else a xT a; + val dd = if (Mat.hasCUDA > 0) a xTG a else a xT a; val d1 = getdiag(dd) dd ~ dd * 2.0f dd ~ d1 - dd @@ -121,13 +121,25 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { deltas } + def sortgen(dd:FMat):(FMat,IMat) = { + if (Mat.hasCUDA == 0) { + sort2(dd,1) + } else { + val smat = dd.copy + val imat = icol(0->nsamps)*iones(1,nsamps) + GMat.GPUsort(smat, imat) + (smat, imat) + } + } + def run = { + println("PAM clustering %d points with %d features into %d centers" format (nsamps, nfeats, ncenters)) flip val dd = dists(a) val ft1 = gflop println("Distances in %f seconds, %f gflops" format (ft1._2,ft1._1)) flip - val (ds, iss) = sort2(dd,1) // Sort the distances + val (ds, iss) = sortgen(dd) // Sort the distances Mat.nflops += math.round(math.log(size(ds,1))/math.log(2.0))*size(ds,1)*size(ds,2) val ft2 = gflop println("Sort in %f seconds, %f gcomps" format (ft2._2,ft2._1)) @@ -193,7 +205,7 @@ object PAMmodel { class Options { var ncenters = 1000 var maxpasses = 10 - var ntrys = 3 + var ntrys = 1 var verb = false } From f3b1ba7b1624b0f6c2d56fcab87cbe01bf8b8147 Mon Sep 17 00:00:00 2001 From: jcanny Date: Wed, 6 Feb 2013 17:55:44 -0800 Subject: [PATCH 028/385] fixed startup script --- bidmach | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/bidmach b/bidmach index 8d2c1d14..8ff23bb6 100755 --- a/bidmach +++ b/bidmach @@ -1,18 +1,27 @@ #!/bin/bash -export BIDMACH_ROOT="$( cd -P "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" +export JAVA_OPTS="-Xmx12G -Xms128M" # Set as much memory as possible +BIDMACH_ROOT="${BASH_SOURCE[0]}" +if [ ! `uname` = "Darwin" ]; then + BIDMACH_ROOT=`readlink -f "${BIDMACH_ROOT}"` +else + BIDMACH_ROOT=`readlink "${BIDMACH_ROOT}"` +fi +BIDMACH_ROOT=`dirname "$BIDMACH_ROOT"` export BIDMACH_ROOT="$( echo ${BIDMACH_ROOT} | sed s+/cygdrive/c+c:+ )" export BIDMAT_ROOT="${BIDMACH_ROOT}/../BIDMat" # Change if needed -export LD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/linux64:${BIDMAT_ROOT}/lib/linux64/JCUDA5.0:/usr/local/cuda-5.0/lib64:${LD_LIBRARY_PATH}" # export JAVA_HOME="" # Set here if not set in environment -export JAVA_OPTS="-Xmx12G -Xms128M" # Set as much memory as possible # Fix these if needed export JCUDA_VERSION="0.5.0RC" export JCUDA_LIBDIR="${BIDMAT_ROOT}/lib" export BIDLIB="${BIDMAT_ROOT}/lib" export LIBDIR=${BIDMACH_ROOT}/lib - -export BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar" -export JCUDA_LIBS="${JCUDA_LIBDIR}/jcuda-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcublas-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcufft-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcurand-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcusparse-${JCUDA_VERSION}.jar" +if [ `uname` = "Darwin" ]; then + export DYLD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/osx64:${BIDMAT_ROOT}/lib/osx64/JCUDA5.0:/usr/local/cuda/lib:${LD_LIBRARY_PATH}" +else + export LD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/linux64:${BIDMAT_ROOT}/lib/linux64/JCUDA5.0:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}" +fi +BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${LIBDIR}/ptplot.jar;${LIBDIR}/ptplotapplication.jar;${LIBDIR}/jhdf5.jar;${LIBDIR}/commons-math3-3.1.1.jar" +JCUDA_LIBS="${JCUDA_LIBDIR}/jcuda-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcublas-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcufft-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcurand-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcusparse-${JCUDA_VERSION}.jar" export ALL_LIBS="${BIDMACH_ROOT}/BIDMach.jar;${BIDMAT_LIBS};${JCUDA_LIBS};${JAVA_HOME}/lib/tools.jar" From 734e1a5da4f758bd2db8555c1417bbf454eb3cd2 Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 8 Mar 2013 23:05:06 -0800 Subject: [PATCH 029/385] fixed script --- .classpath | 10 +++++----- BIDMach.jar | Bin 114155 -> 95818 bytes bidmach | 17 ++++++++--------- bidmach.cmd | 19 +++++++++++++++++++ build.sbt | 20 ++++++-------------- lib/bidmach_init.scala | 10 +++------- src/main/scala/BIDMach/Clustering.scala | 8 +++++--- src/main/scala/BIDMach/FactorModel.scala | 20 ++++++++++---------- src/main/scala/BIDMach/Regression.scala | 2 +- src/main/scala/BIDMach/Updater.scala | 12 ++++++------ 10 files changed, 63 insertions(+), 55 deletions(-) create mode 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z(krp0fU3mbQIt*zgOj^5UEl#GOaRGHsKemzB`B8#m4bvt F{TJN>-K+or diff --git a/bidmach b/bidmach index 8ff23bb6..4d0053dd 100755 --- a/bidmach +++ b/bidmach @@ -7,26 +7,25 @@ else BIDMACH_ROOT=`readlink "${BIDMACH_ROOT}"` fi BIDMACH_ROOT=`dirname "$BIDMACH_ROOT"` -export BIDMACH_ROOT="$( echo ${BIDMACH_ROOT} | sed s+/cygdrive/c+c:+ )" -export BIDMAT_ROOT="${BIDMACH_ROOT}/../BIDMat" # Change if needed +BIDMACH_ROOT="$( echo ${BIDMACH_ROOT} | sed s+/cygdrive/c+c:+ )" +BIDMAT_ROOT="${BIDMACH_ROOT}/../BIDMat" # Change if needed # export JAVA_HOME="" # Set here if not set in environment # Fix these if needed -export JCUDA_VERSION="0.5.0RC" -export JCUDA_LIBDIR="${BIDMAT_ROOT}/lib" -export BIDLIB="${BIDMAT_ROOT}/lib" -export LIBDIR=${BIDMACH_ROOT}/lib +JCUDA_VERSION="0.5.0" +JCUDA_LIBDIR="${BIDMAT_ROOT}/lib" +BIDLIB="${BIDMAT_ROOT}/lib" +LIBDIR=${BIDMACH_ROOT}/lib if [ `uname` = "Darwin" ]; then export DYLD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/osx64:${BIDMAT_ROOT}/lib/osx64/JCUDA5.0:/usr/local/cuda/lib:${LD_LIBRARY_PATH}" else export LD_LIBRARY_PATH="${BIDMAT_ROOT}/lib/linux64:${BIDMAT_ROOT}/lib/linux64/JCUDA5.0:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}" fi -BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${LIBDIR}/ptplot.jar;${LIBDIR}/ptplotapplication.jar;${LIBDIR}/jhdf5.jar;${LIBDIR}/commons-math3-3.1.1.jar" + +BIDMAT_LIBS="${BIDMAT_ROOT}/BIDMat.jar;${BIDLIB}/ptplot.jar;${BIDLIB}/ptplotapplication.jar;${BIDLIB}/jhdf5.jar;${BIDLIB}/commons-math3-3.1.1.jar" JCUDA_LIBS="${JCUDA_LIBDIR}/jcuda-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcublas-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcufft-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcurand-${JCUDA_VERSION}.jar;${JCUDA_LIBDIR}/jcusparse-${JCUDA_VERSION}.jar" export ALL_LIBS="${BIDMACH_ROOT}/BIDMach.jar;${BIDMAT_LIBS};${JCUDA_LIBS};${JAVA_HOME}/lib/tools.jar" -echo ${ALL_LIBS} - if [ ! "$OS" = "Windows_NT" ]; then export ALL_LIBS=`echo "${ALL_LIBS}" | sed 's/;/:/g'` fi diff --git a/bidmach.cmd b/bidmach.cmd new file mode 100755 index 00000000..d5da0fea --- /dev/null +++ b/bidmach.cmd @@ -0,0 +1,19 @@ +@ECHO OFF +:: Set JAVA_HOME here if not set in environment +:: SET JAVA_HOME= +:: Set as much memory as possible +(SET JAVA_OPTS=-Xmx12G -Xms128M) +:: Fix these if needed +SET JCUDA_VERSION=0.5.0 +SET LIBDIR="%CD%\..\BIDMat\lib" +SET JCUDA_LIBDIR=%LIBDIR% +SET PATH=%LIBDIR%\win64;%LIBDIR%\win64\JCUDA5.0;%PATH% + +SET BIDMACH_LIBS=%LIBDIR%\..\BIDMat.jar;%CD%\BIDMach.jar;%LIBDIR%\ptplot.jar;%LIBDIR%\ptplotapplication.jar;%LIBDIR%\jhdf5.jar;%LIBDIR%\commons-math3-3.1.1.jar + +SET JCUDA_LIBS=%JCUDA_LIBDIR%\jcuda-%JCUDA_VERSION%.jar;%JCUDA_LIBDIR%\jcublas-%JCUDA_VERSION%.jar;%JCUDA_LIBDIR%\jcufft-%JCUDA_VERSION%.jar;%JCUDA_LIBDIR%\jcurand-%JCUDA_VERSION%.jar;%JCUDA_LIBDIR%\jcusparse-%JCUDA_VERSION%.jar + +SET ALL_LIBS=%BIDMACH_LIBS%;%JCUDA_LIBS%;%JAVA_HOME%\lib\tools.jar +echo %ALL_LIBS% + +scala -nobootcp -cp "%ALL_LIBS%" -Yrepl-sync -i %LIBDIR%\bidmat_init.scala \ No newline at end of file diff --git a/build.sbt b/build.sbt index 51bbc047..9aecc3b1 100755 --- a/build.sbt +++ b/build.sbt @@ -5,21 +5,22 @@ version := "0.1.0" organization := "edu.berkeley.bid" -scalaVersion := "2.9.1" +scalaVersion := "2.9.2" resolvers ++= Seq( - "Scala Tools Snapshots" at "http://scala-tools.org/repo-snapshots/" + "Scala Tools Snapshots" at "http://scala-tools.org/repo-snapshots/", + "Scala Mirror" at "https://oss.sonatype.org/content/repositories/releases/" ) libraryDependencies <<= (scalaVersion, libraryDependencies) { (sv, deps) => deps :+ ("org.scala-lang" % "scala-compiler" % sv) } -libraryDependencies += "org.scala-lang" % "jline" % "2.9.1" +libraryDependencies += "org.scala-lang" % "jline" % "2.9.2" libraryDependencies += "org.scalatest" %% "scalatest" % "1.8" % "test" -libraryDependencies += "org.scala-tools.testing" %% "scalacheck" % "1.9" % "test" +libraryDependencies += "org.scalacheck" %% "scalacheck" % "1.9" % "test" libraryDependencies += "junit" % "junit" % "4.5" % "test" @@ -33,16 +34,7 @@ initialCommands := scala.io.Source.fromFile("lib/bidmach_init.scala").getLines.m javaOptions += "-Xmx12g" -seq(ProguardPlugin.proguardSettings :_*) +//seq(ProguardPlugin.proguardSettings :_*) -proguardOptions ++= Seq ( - "-keep class scala.** { *; }", - "-keep class org.jfree.** { *; }", - keepMain("scala.tools.nsc.MainGenericRunner"), - keepLimitedSerializability, - keepAllScala, - "-keep class ch.epfl.** { *; }", - "-keep interface scala.ScalaObject" -) diff --git a/lib/bidmach_init.scala b/lib/bidmach_init.scala index 800c0629..1694c5f5 100755 --- a/lib/bidmach_init.scala +++ b/lib/bidmach_init.scala @@ -5,10 +5,6 @@ import BIDMat.Solvers._ import BIDMat.Plotting._ import BIDMach.{Learner,LogisticModel,LinearRegModel,ADAGradUpdater} -{ -var a = new Array[Int](1) -jcuda.runtime.JCuda.cudaGetDeviceCount(a) -if (a(0) > 0) jcuda.runtime.JCuda.initialize -Mat.hasCUDA = a(0) -} -printf("%d CUDA device%s found\n", Mat.hasCUDA, if (Mat.hasCUDA == 1) "" else "s") +Mat.checkMKL +Mat.checkCUDA + diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index d17230ec..dcf854fb 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -122,7 +122,8 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { } def sortgen(dd:FMat):(FMat,IMat) = { - if (Mat.hasCUDA == 0) { + if (Mat.hasCUDA == 0) { // until GPUsort fixed +// if (true) { sort2(dd,1) } else { val smat = dd.copy @@ -210,13 +211,14 @@ object PAMmodel { } def main(args:Array[String]) = { - Mat.checkCUDA +// Mat.checkCUDA val nfeats = args(0).toInt val nsamps = args(1).toInt val ncenters = args(2).toInt + println("Generating dataset") val c = rand(ncenters, nfeats) val a = rand(nsamps, nfeats)*0.3f - for (i <- 0 until nsamps by ncenters) {val il = math.min(i+ncenters, nsamps); a(i->il,?) += c} + for (i <- 0 until nsamps by ncenters) {val il = math.min(i+ncenters, nsamps); a(i->il,?) += c(0->(il-i),?)} val cc = new PAMmodel cc.options.ncenters = ncenters cc.init(a) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index 1f3c41d3..ea33d73c 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -44,7 +44,7 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo override def uupdate(sdata:Mat, user:Mat):Unit = { mmodeltuser = mmodeltuser ~ mm * user - quot = quot ~ modeldata /@ mmodeltuser + quot = quot ~ modeldata / mmodeltuser quot = min(10.0f, max(0.1f, quot, quot), quot) user ~ user *@ quot // println("norm user %f" format norm(user)) @@ -78,12 +78,12 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo uu ~ uu + smdiag mm = mm ~ modelmat xT modelmat - val ll0 = idata.contents dot idata.contents - val ll1 = modeldata dot iuser - val ll2 = uu dot mm + val ll0 = idata.contents ddot idata.contents + val ll1 = modeldata ddot iuser + val ll2 = uu ddot mm // println("ll %f %f %f" format (ll0, ll1, ll2)) val v1 = (-ll0 + 2*ll1 - ll2)/idata.nnz - val v2 = -options.uprior*(iuser dot iuser)/idata.nnz + val v2 = -options.uprior*(iuser ddot iuser)/idata.nnz (v1,v2) } } @@ -133,7 +133,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto // println("norm model=%f, user=%f" format (norm(modelmat),norm(user))) preds = DDS(modelmat, user, data, preds) max(options.weps, preds, preds) - prat = prat ~ data /@ preds + prat = prat ~ data / preds prod = prod ~ modelmat * prat user ~ prod *@ user @@ -149,7 +149,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto override def mupdate(data:Mat, user:Mat):Unit = { preds = DDS(modelmat, user, data, preds) max(options.weps, preds, preds) - prat = prat ~ data /@ preds + prat = prat ~ data / preds updatemat = updatemat ~ user xT prat; su2 = sum(user,2,su2) updateDenom = su2 @@ -164,7 +164,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto su1 = ln(su1, su1) // val nvv = sum(sdat,2).dv // println("vals %f, %f, %f, %f, %f" format (nvv, sum(data.contents,1).dv, sum(ll,1).dv/nvv, (ll dot data.contents)/nvv,(sdat dot su1)/nvv)) - (((ll dot data.contents) - (sdat dot su1))/sum(sdat,2).dv,0) + (((ll ddot data.contents) - (sdat ddot su1))/sum(sdat,2).dv,0) } } @@ -183,12 +183,12 @@ abstract class FactorModel(opts:FactorModel.Options) extends Model { val nt = size(datatest0, 2) val d = options.dim val sdat = (sum(data0,2).t + 1.0f).asInstanceOf[FMat] - val sp = sdat /@ sum(sdat) + val sp = sdat / sum(sdat) println("initial perplexity=%f" format (sp dot ln(sp)) ) modelmat = rand(d,m) modelmat ~ modelmat *@ sdat msum = sum(modelmat, 2, msum) - modelmat ~ modelmat /@ msum + modelmat ~ modelmat / msum val target = if (user0.asInstanceOf[AnyRef] == null) { rand(d,nusers) } else{ diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index 67c6b6e3..6cdd4014 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -109,7 +109,7 @@ extends RegressionModel(opts) { exp(tmp1, epred) log1p(epred, tmp0) lls ~ row(-1) * tmp0 - gradw ~ -1 * (tmp0 ~ tfact *@ (tmp1 ~ epred /@ (tmp0 ~ 1 + epred))) + gradw ~ -1 * (tmp0 ~ tfact *@ (tmp1 ~ epred / (tmp0 ~ 1 + epred))) } def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = { diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index 48bf8e17..d8ee7c86 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -42,7 +42,7 @@ class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { // println("updateDenomsum\n"+updateDenomsum.asInstanceOf[FMat](0->4,0).toString) if (nsteps >= model.nusers) { - ratio = ratio ~ updatesum /@ updateDenomsum + ratio = ratio ~ updatesum / updateDenomsum // println(ratio.asInstanceOf[FMat](0->4,0->8).toString) max(0.001f, min(1000f, ratio, ratio), ratio) println("updating ratio norm %f" format norm(ln(ratio.asInstanceOf[FMat](?)))) @@ -55,7 +55,7 @@ class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { updateDenomsum.clear nsteps = 0 msum = sum(modelmat, 2, msum) - modelmat ~ modelmat /@ msum + modelmat ~ modelmat / msum println("norm modelmat %f" format norm(modelmat)) } nsteps += step @@ -103,8 +103,8 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater // val weight = options.alpha // println("updater min updatedenom=%f" format mini(updateDenom(?,10), 1).dv) // println("sizes %d,%d %d,%d" format (size(updatemat,1),size(updatemat,2),size(updateDenom,1),size(updateDenom,2))) - ratio = ratio ~ updatemat /@ updateDenom - ratio = ratio ~ ratio /@ modelmat + ratio = ratio ~ updatemat / updateDenom + ratio = ratio ~ ratio / modelmat // ratio = updatemat.asInstanceOf[FMat] /@ updateDenom.asInstanceOf[FMat] // println("updater norm ratio=%f" format norm(ratio)) // println("minmax %f,%f" format (maxi(maxi(updatemat,1),2).dv , mini(mini(updateDenom,1),2).dv)) @@ -130,7 +130,7 @@ class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater msum = sum(modelmat, 2, msum) // msum ~ msum *@ sdim - modelmat ~ modelmat /@ msum + modelmat ~ modelmat / msum nsteps += step } } @@ -169,7 +169,7 @@ class ADAGradUpdater(opts:Updater.Options = new Updater.Options) extends Updater sumSq ~ tmp0 * (1/nw) if (nsteps > options.waitsteps) { sqrt(tmp0 ~ sumSq*nsteps, tmp1) - modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat /@ tmp1) * options.alpha) + modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat / tmp1) * options.alpha) } nsteps += step } From cb5d7be5a410b6064d6a65f620b474801e775f9b Mon Sep 17 00:00:00 2001 From: jcanny Date: Fri, 8 Mar 2013 23:12:46 -0800 Subject: [PATCH 030/385] update jar --- BIDMach.jar | Bin 95818 -> 95861 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 5e0aff471c66faf5284948dfcd14403ecbe1bf99..148f41f61d24597ccdd1cdce5f77429f3dc05137 100755 GIT binary patch delta 2013 zcmYk6c~n!^7RK*MB8ZSO&k(dwbP+-3L8dUzlPC$3OcKHnk}y6&40$MR5KxS81W|@o z1%+p2hJr|up-eJp8B3*rf?$Qp=(E@xed{gn{o|~2&-s3Pf8W~c_O0&QT-_()>4L>c zA^Xucw>eLw9+TVru#<>G7v36<$d2|_JSBJjE8m(kLKm$&?pV7RJSS=9-K!vt6u9JM zUi#s-_45>pd+;)q_h;;I%5vk-&Y;KniuRv>E!6JIwtOsancDuhc+aaCr2qEVz{2X; z-`|}s+5W4u{r5D{V6kLem38y$>8L(dK54qiA8);AI{TUw>_R?peXLfJ{EipN=H!03 zJ@cflZoDR5_O8pK^x_={T#-F}e7%_Idaz*GUrf7uSB<%m{v%hNvqMuWzHqVWBCe>? z^J?zl;r!-XK~Pb5#hGE?zdun-bt>3J$|-4xOuXkvtj1LDnz!bug&G%;6sI9cgv{?=il$~gPBG*}Tsg$vdbHs~sdCjC zZ&Wq!%CP?1INEE;By4rI?E$VxCB+~w{F|{d?-SsLx?X)yve+w4v&*s*rw8VXjuE97 zg^PO^l9*ffZ}~hOGTl-rD;si=8E90S=Zn^GlLT!8Oxp@UJ1eS5%Fw4x$b?O z*&e4G|8gr0*-es=tsh-sH`(6Cx)m3ko+SFT)x}P2lyZeQ-nI-;Bz1qFrm(k+I;${W 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z{#X(Ps;&ZCqV_Uj)0iG~TJ@U>!mVJJb6x*(;$1_a-Q+5kU830daa*>RV(82nH~@i2o4ZD}D?UJ_uY~ z1p5bfC@R1vG&O+E(!q3AuK?gZVHE~(-sFQ95(4Z$-5*#A&5s6iQ2$N&*ZPBqCtw>B zz$^ZzjgsxZZNvkaAOqmg{>MSkNEujtQfGn~94_dg?DwkZ)q?vKdmr~C4k)VjcWS6; z19KgB2m%z)1`g;#2LSEK4vp8KV&ngpBMo!E#Oa@k>#e=-(D=WmO7>wjBp3_eq#^7H|q@d$95eoW#| z{0Jg(YS9Gq10KweKhx3+BS6BW1lcd?C;x~ZadwOWAk%O#BUQks^V3L6BiM5_QxJI* nc;HLpZ`G)ep3|EHK+NR;QfzST9{3{&{yqmYhtv|R8RGu{6#{N( diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index dcf854fb..bec21864 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -122,8 +122,7 @@ class PAMmodel(opts:PAMmodel.Options = new PAMmodel.Options) { } def sortgen(dd:FMat):(FMat,IMat) = { - if (Mat.hasCUDA == 0) { // until GPUsort fixed -// if (true) { + if (Mat.hasCUDA <= 0) { // until GPUsort fixed sort2(dd,1) } else { val smat = dd.copy From 7e1ef2e1ea92f2361c16a91e023b44faebc8c2ab Mon Sep 17 00:00:00 2001 From: jcanny Date: Sat, 9 Mar 2013 14:16:19 -0800 Subject: [PATCH 032/385] multithreaded GPU sort working --- BIDMach.jar | Bin 114580 -> 114861 bytes src/main/scala/BIDMach/Clustering.scala | 14 +++++++++----- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index f413af64d94c574f5898d016f6d71095e75fd5c5..1f347196a6402d5cbbd59eec4bd45831796216d0 100755 GIT binary patch delta 11766 zcmZ8{WmFwY(=Ho#g1ZNI4Fq?0m*DPB&>cK@(2cvhZ`>`x-Q8V62+jxReD~h>z4K$L zpIT3KbywB&nl)32udtN?aLCGXP|#Qq@bK^uSI)J_r38>y&h=mdH^94OB1(XKlOR@g z073mK$sXz(NMIr&s9$3eg?cBDvo*XE6O1JZ>aW{~*$6<7RR9D~R}}!Zo>eU7 zpQ*aVv;UFCk`DOqtjd0ZgcCyypo_bMwcAHFW>Y(3SJx1AYu6QZECCkhZCQ=_Munf# zMUk{kayA$_j53HiA_I!k7Ib>Kbrn3aW2;its2A+IXbkoY= z18v|8Gd^e>5loM{fzQa?d>u!$F+Ti-u42NIGoM*zs+s_uxVgEn-S|4v+}@B`5cttY zau9gOY2*l-`?GMKL@Q^Tw2Sa$nfr+UplxOH%3`46&EH0h#kWx?J!2z8`OE9P8}-D1 zdVqO2(29SCLs-=4IBzEq2}FWix?Y~vwAR6G);`|k$T!9VVd?i1LOxRs)obl|51?|7 zMcCRN_VI>$$p_7Qx5_iR4^bv(81JH>U^bVrKcsbsa8tZ!nM_1Tt4Je%f)16-l$SaB 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zE@Zg*11V7VSV+1kQxIZ8DzcvrIv$jFD0Te z{0rej?%Q6n>$e3$avfd*ertdE``G^CU}ygqB83pPy!0u0fnbEZAwBItDd0M!yZvPd z@{X6pB_bdy9Y8VI+Lzb-AnMN$f3{0s$BVmaG-R^_C<>z!4*_+(gyru9GQgsw03q-H zZ1R8?4aPDBQqlS1GM^4P?*vN0wB`PH$>1TXT|h>doZ>&7sgUPz0Dza9hL>gjf9&d- Ang9R* diff --git a/src/main/scala/BIDMach/Clustering.scala b/src/main/scala/BIDMach/Clustering.scala index bec21864..c0b578b1 100755 --- a/src/main/scala/BIDMach/Clustering.scala +++ b/src/main/scala/BIDMach/Clustering.scala @@ -209,11 +209,7 @@ object PAMmodel { var verb = false } - def main(args:Array[String]) = { -// Mat.checkCUDA - val nfeats = args(0).toInt - val nsamps = args(1).toInt - val ncenters = args(2).toInt + def runit(nfeats:Int, nsamps:Int, ncenters:Int) = { println("Generating dataset") val c = rand(ncenters, nfeats) val a = rand(nsamps, nfeats)*0.3f @@ -223,4 +219,12 @@ object PAMmodel { cc.init(a) cc.run } + + def main(args:Array[String]) = { + Mat.checkCUDA + val nfeats= args(0).toInt + val nsamps = args(1).toInt + val ncenters = args(2).toInt + runit(nfeats, nsamps, ncenters) + } } From 340128a9e98ee896c480ef854e353f2f049ead2e Mon Sep 17 00:00:00 2001 From: jcanny Date: Sun, 10 Mar 2013 22:26:55 -0700 Subject: [PATCH 033/385] cleaning up --- BIDMach.jar | Bin 114861 -> 50126 bytes src/main/scala/BIDMach/FactorModel.scala | 5 +- src/main/scala/BIDMach/Learner.scala | 4 +- src/main/scala/BIDMach/Model.scala | 54 ++---- src/main/scala/BIDMach/Regression.scala | 217 ++++------------------- src/main/scala/BIDMach/Regularizer.scala | 36 ++-- src/main/scala/BIDMach/TestHash.scala | 14 -- src/main/scala/BIDMach/TestLearner.scala | 5 +- src/main/scala/BIDMach/Updater.scala | 5 +- 9 files changed, 68 insertions(+), 272 deletions(-) delete mode 100755 src/main/scala/BIDMach/TestHash.scala diff --git a/BIDMach.jar b/BIDMach.jar index 1f347196a6402d5cbbd59eec4bd45831796216d0..b6ed018686560023981013dcbe147d164966ddcf 100755 GIT binary patch delta 38076 zcmZ7dV|3up6EzOTHYc`i+cqY)ZB0JO#I`23ZBK05w#`ZQ`+IiJ?z8_F-CbR8`kcDw 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zKoUVgH-ipgApbjP{#+ma?xpe;P&X_j?SEPk^b8GVZX5s+fM@+b=lJ2k=ctB2T5$g> zaJy*2T>(6^8Nr(1@1Y$t0%RA!`)izl7ZPF54rvxfFatXHiPhf>Bon}sAUs?pSy=ET R2nc%c-vU@?Mo;}d`X6DOmKXp4 diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index bfbaa0a9..acee7c8f 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -12,32 +12,44 @@ class NMFmodel(data0:SMat, opts:FactorModel.Options = new NMFmodel.Options) exte var mmodelt:Mat = null var maxeps:Mat = null var mmodeltuser:Mat = null + var idiag:Mat = null var quot:Mat = null var ud:Mat = null var uu:Mat = null var uum:Mat = null + override def initmodelf(data:Mat, user:Mat):Mat = { + val v = super.initmodelf(data, user) + idiag = mkdiag(options.uprior*ones(options.dim,1)):FMat + v + } + override def initupdate(sdata:Mat, model:Mat, user:Mat) = { - modeldata = recycleTry(modeldata, user) ~ model * sdata - mmodelt = recycleTry(mmodelt, d, d, model) ~ model * model.t + modeldata = recycleTry(modeldata, user) ~ modelmat * sdata + mmodelt = recycleTry(mmodelt, d, d, model) ~ modelmat xT modelmat + mmodelt ~ mmodelt + idiag } override def uupdate(sdata:Mat, model:Mat, user:Mat):Unit = { - val NMFeps = options.asInstanceOf[NMFmodel.Options].NMFeps - maxeps = recycleTry(maxeps, mmodelt) - maxeps = max(NMFeps, mmodelt, maxeps):Mat - mmodeltuser = recycleTry(mmodeltuser, user) ~ maxeps * user + mmodeltuser = recycleTry(mmodeltuser, user) ~ mmodelt * user quot = recycleTry(quot, user) ~ modeldata /@ mmodeltuser - user ~ user *@ quot + max(0.1f, quot, quot) + min(10.0f, quot, quot) +// println("max quot=%f" format maxi(quot(?),1).dv) + user ~ user *@ quot +// println("norm diff=%f" format norm(modeldata-mmodeltuser).dv) } override def mupdate(sdata:Mat, model:Mat, user:Mat, update:Mat) = { - ud = recycleTry(ud, model) ~ user xT sdata - uu = recycleTry(uu, d, d, model) ~ user * user.t - uum = recycleTry(uum, model) ~ uu * model - update ~ ud - uum - val diff = sum(sdata,2) - (sum(user,2).t * model).t - mean(diff *@ diff).dv + ud = recycleTry(ud, modelmat) ~ user xT sdata + uu = recycleTry(uu, d, d, modelmat) ~ user xT user + uum = recycleTry(uum, modelmat) ~ uu * modelmat + update ~ ud - uum + val tmp0 = (sum(user,2).t * modelmat).t + val diff = sum(sdata,2) - tmp0 + val v = -(diff dot diff)/sdata.nrows/sdata.ncols +// println("norm diff=%f, v=%f" format (norm(diff).dv/math.sqrt(diff.length), v)) + v } } @@ -52,7 +64,7 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e var i = 0; while (i < prod.ncols) { var j = 0; while (j < prod.nrows) { val ji = j + i*prod.nrows - val v = fuser.data(ji)*prod.data(ji) + options.prior(j) + val v = fuser.data(ji)*prod.data(ji) + options.uprior fuser.data(ji) = if (v > 1) { v - 0.5f @@ -81,9 +93,6 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(data0, null, opts) { - var modelmat:Mat = null - var updatemat:Mat = null - var usermat:Mat = null val options = opts var d = 0 @@ -93,7 +102,7 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d val m = size(data, 1) val n = size(data, 2) d = options.dim - modelmat = 0.1f*normrnd(0,1,d,m) + modelmat = 0.1f*normrnd(0,1,d,m) val out = if (user.asInstanceOf[AnyRef] == null) { 0.1f*normrnd(0,1,d,n) } else{ @@ -101,9 +110,7 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d } updatemat = modelmat.zeros(d, m) out - } - - usermat = initmodel(data0, null) + } def initupdate(data:Mat, model:Mat, user:Mat) = {} @@ -114,10 +121,12 @@ abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(d override def gradfun(data:Mat, user:Mat):Double = { var i = 0 initupdate(data, modelmat, user) - while (i < options.niter) { + while (i < options.uiter) { uupdate(data, modelmat, user) + i += 1 } - mupdate(data, modelmat, user, updatemat) + val v = mupdate(data, modelmat, user, updatemat) + v } } @@ -131,8 +140,8 @@ object NMFmodel { object FactorModel { class Options extends Model.Options { var dim = 20 - var niter = 10 + var uiter = 10 var weps = 1e-10f - var prior:FMat = null + var uprior = 0.01f } } diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index c7add08e..ff3aead6 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -44,9 +44,9 @@ case class Learner(datamat:Mat, targetmat:Mat, datatest:Mat, targtest:Mat, if (llder > 0 && llder < options.convslope) { done = true } - if (toc >= tsecs || done || (ipass == options.npasses-1 && i >= n)) { + if (toc >= tsecs || done || (i >= n)) { val llx = model.gradfun(datatest, targtest) - println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f" format (ipass, nsteps/1000, tsecs, llest, llx)) + println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f" format (ipass, nsteps/1000, toc, llest, llx)) tscores = tscores :+ -llest tscorex = tscorex :+ -llx tsteps = tsteps :+ nsteps.asInstanceOf[Double] @@ -68,8 +68,8 @@ object Learner { class Options { var blocksize:Int = 8000 var npasses:Int = 100 - var memwindow:Double = 1000000 - var convwindow:Double = 1000000 + var memwindow:Double = 100000 + var convwindow:Double = 100000 var convslope:Double = -1e-6 var secprint:Double = 1 var eps:Float = 1e-8f diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index ee3676bc..b2ea7183 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -5,6 +5,9 @@ import BIDMat.SciFunctions._ abstract class Model(data0:Mat, target0:Mat, opts:Model.Options) { + var modelmat:Mat = null + var updatemat:Mat = null + def initmodel(data:Mat, target:Mat):Mat def gradfun(data:Mat, target:Mat):Double diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index c5a0c164..dee26d3d 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -129,10 +129,7 @@ extends RegressionModel(data0, target0, opts) { abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Options) extends Model(data0, target0, opts) { - val options = opts - - var modelmat:Mat = null - var updatemat:Mat = null + val options = opts var data:Mat = null var target:Mat = null var ttarget:Mat = null diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala index 50d551a3..a99d2923 100755 --- a/src/main/scala/BIDMach/Regularizer.scala +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -3,7 +3,7 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -abstract class Regularizer(val model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) { +abstract class Regularizer(val model:Model, opts:Regularizer.Options = new Regularizer.Options) { val options = opts def compute(step:Int) val modelmat = model.modelmat @@ -12,21 +12,21 @@ abstract class Regularizer(val model:RegressionModel, opts:Regularizer.Options = var tmp1 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) } -class L1Regularizer(model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { +class L1Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { def compute(step:Int) = { sign(modelmat, tmp0) - updatemat ~ updatemat + (tmp1 ~ tmp0 * (-step * options.beta)) + updatemat ~ updatemat + (tmp1 ~ tmp0 * (-step * options.mprior)) } } -class L2Regularizer(model:RegressionModel, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { +class L2Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { def compute(step:Int) = { - updatemat ~ updatemat + (tmp1 ~ modelmat * (-options.beta * step)) + updatemat ~ updatemat + (tmp1 ~ modelmat * (-options.mprior * step)) } } object Regularizer { class Options { - var beta:Float = 1e-7f + var mprior:Float = 1e-7f } } diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 71cbeb94..1bd12c27 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -6,12 +6,33 @@ import Learner._ object TestLearner { + def runNMFLearner(rt:SMat, rtest:SMat) = { + val model = new NMFmodel(rt) + model.options.dim = 32 + model.options.uiter = 2 + model.options.uprior = 1e-4f + model.options.nzPerColumn = 400 + val usertest = model.initmodel(rtest, null) + val usermat = model.initmodel(rt, null) + val regularizer = new L2Regularizer(model) + val updater = new ADAGradUpdater(model) + val learner = Learner(rt, usermat, rtest, usertest, model, regularizer, updater) + regularizer.options.mprior = 1e-4f + updater.options.alpha = 0.5f + updater.options.gradwindow = 4e5f + updater.options.initsumsq = 1e-3f + learner.options.npasses = 20 + learner.options.secprint = 100 + learner.run + } + def runLogLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { val model = new LogisticModel(rt, st) + model.initmodel(rt, st) val regularizer = new L1Regularizer(model) val updater = new ADAGradUpdater(model) val learner = Learner(rt, st > 4, rtest, stest > 4, model, regularizer, updater) - regularizer.options.beta = 1e-7f + regularizer.options.mprior = 1e-7f updater.options.alpha = 300f updater.options.gradwindow = 1e6f learner.options.npasses = 20 @@ -29,7 +50,7 @@ object TestLearner { val regularizer = new L1Regularizer(model) val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } val learner = Learner(rt, st, rtest, stest, model, regularizer, updater) - regularizer.options.beta = 1e-6f + regularizer.options.mprior = 1e-6f // regularizer.options.beta = 1e-7f updater.options.alpha = 200f updater.options.gradwindow = 1e6f @@ -63,6 +84,7 @@ object TestLearner { ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) + case 3 => runNMFLearner(rt, rtest) } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index b3a932c4..d9e6a731 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -9,7 +9,7 @@ trait Updater { def update(step:Int):Unit } -class ADAGradUpdater(val model:RegressionModel, opts:Updater.Options = new Updater.Options) extends Updater { +class ADAGradUpdater(val model:Model, opts:Updater.Options = new Updater.Options) extends Updater { var tmp0:Mat = null var tmp1:Mat = null From 1135822b077e194689615d3ab4e7d5b602641848 Mon Sep 17 00:00:00 2001 From: jcanny Date: Mon, 12 Nov 2012 01:22:22 -0800 Subject: [PATCH 014/385] fixes to factor models --- BIDMach.jar | Bin 67514 -> 69682 bytes src/main/scala/BIDMach/FactorModel.scala | 217 +++++++++++++++-------- src/main/scala/BIDMach/Learner.scala | 62 ++++--- src/main/scala/BIDMach/Model.scala | 9 +- src/main/scala/BIDMach/Regression.scala | 79 ++++----- src/main/scala/BIDMach/Regularizer.scala | 29 ++- src/main/scala/BIDMach/TestLearner.scala | 105 +++++++---- src/main/scala/BIDMach/Updater.scala | 141 +++++++++++++-- 8 files changed, 440 insertions(+), 202 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index 4af53d387ba762932e68e93ff2df9ca0835fa3d5..b17e2cebbddf83483a7ab89372d0e19a2092d33f 100755 GIT binary patch delta 32053 zcmZ5{V{~RgmvwC0M#r{o+qR8P^2ByJ-LY-kwr$&XzV3Hst#4+o>ejk{?mD~9*|qDO zYKsG_%K?K^lmP`p1A_W{vezZRHG;6$)%Meag0k0{Cv`(&C&7cE0Dd{B?3p9=JdY+J zkvQVKdLVz}g$t{i=DCU2E~k<~VgOU+=sz~FAcGzaFbcQC&YyZ%zxQGK&LYkrE}n|- zJ(`cD%GOPr1KQtBlQz4*U+)=!6p0iJ%N7aY*UU%HQo#mHTuxNwObpY5CXLolu)$V% z`s<(v>IlmSV-&=@02V8oKI7P$?j8pGV(nYq;>+Rcei|%m9Ip(*1ztDEJ2sCVl#9kV zCaRP|??N|0L_mltLODJ1yVT+KK?#>cp}F;Dul2>pA@bFRYho5q!AOFQ&$hG7 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z88P;dW(RYRy=wFqF9bx%#H)=#>1h8MM^C#f@KtAS@C^N{H|-Q?6b+K;brzmpWyH*Y zIm!OqHD24^p@Z9=Ho>~!gZ$9{r%UW>8~QbPwy6FridVYT*S7o{pmP*H@c9KEM2rE6 TfW`^I384+fwo<-(Rqp=-Z668o diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index acee7c8f..fceb0d42 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -6,60 +6,85 @@ import BIDMat.SciFunctions._ import Learner._ -class NMFmodel(data0:SMat, opts:FactorModel.Options = new NMFmodel.Options) extends FactorModel(data0, opts) { +class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorModel(opts) { - var modeldata:Mat = null - var mmodelt:Mat = null - var maxeps:Mat = null - var mmodeltuser:Mat = null - var idiag:Mat = null - var quot:Mat = null - var ud:Mat = null - var uu:Mat = null - var uum:Mat = null + var modeldata = blank + var mm = blank + var maxeps = blank + var mmodeltuser = blank + var udiag = blank + var mdiag = blank + var quot = blank + var uu = blank + var diff = blank - override def initmodelf(data:Mat, user:Mat):Mat = { - val v = super.initmodelf(data, user) - idiag = mkdiag(options.uprior*ones(options.dim,1)):FMat + override def initmodel(data0:Mat, user0:Mat, datatest0:Mat, usertest0:Mat):(Mat, Mat) = { + val v = super.initmodel(data0, user0, datatest0, usertest0) + udiag = mkdiag(options.uprior*ones(options.dim,1)):FMat + mdiag = mkdiag(options.mprior*ones(options.dim,1)):FMat + if (options.useGPU) { + udiag = GMat(udiag) + mdiag = GMat(mdiag) + val k = options.startBlock + idata = GSMat(size(data0,1), k, k * options.nzPerColumn) + iuser = GMat(options.dim, k) + } v } - override def initupdate(sdata:Mat, model:Mat, user:Mat) = { - modeldata = recycleTry(modeldata, user) ~ modelmat * sdata - mmodelt = recycleTry(mmodelt, d, d, model) ~ modelmat xT modelmat - mmodelt ~ mmodelt + idiag + override def initupdate(sdata:Mat, user:Mat) = { + val d = options.dim + modeldata = modeldata ~ modelmat * sdata + mm = mm ~ modelmat xT modelmat + mm ~ mm + udiag } - override def uupdate(sdata:Mat, model:Mat, user:Mat):Unit = { - mmodeltuser = recycleTry(mmodeltuser, user) ~ mmodelt * user - quot = recycleTry(quot, user) ~ modeldata /@ mmodeltuser - max(0.1f, quot, quot) - min(10.0f, quot, quot) -// println("max quot=%f" format maxi(quot(?),1).dv) - user ~ user *@ quot -// println("norm diff=%f" format norm(modeldata-mmodeltuser).dv) + override def uupdate(sdata:Mat, user:Mat):Unit = { + mmodeltuser = mmodeltuser ~ mm * user + quot = quot ~ modeldata /@ mmodeltuser + quot = max(0.3f, quot, quot) + quot = min(3.0f, quot, quot) + user ~ user *@ quot + max(options.minuser, user, user) } - override def mupdate(sdata:Mat, model:Mat, user:Mat, update:Mat) = { - ud = recycleTry(ud, modelmat) ~ user xT sdata - uu = recycleTry(uu, d, d, modelmat) ~ user xT user - uum = recycleTry(uum, modelmat) ~ uu * modelmat - update ~ ud - uum - val tmp0 = (sum(user,2).t * modelmat).t - val diff = sum(sdata,2) - tmp0 - val v = -(diff dot diff)/sdata.nrows/sdata.ncols -// println("norm diff=%f, v=%f" format (norm(diff).dv/math.sqrt(diff.length), v)) - v + override def mupdate(sdata:Mat, user:Mat):Unit = { + val d = options.dim + updatemat ~ user xT sdata + uu = uu ~ user xT user + uu ~ uu + mdiag + updateDenom ~ uu * modelmat + } + + override def eval(sdata:Mat, user:Mat):(Double, Double) = { + modeldata = modeldata ~ modelmat * sdata + uu = uu ~ user xT user + uu ~ uu + mdiag + mm = mm ~ modelmat xT modelmat + + val ll0 = sdata.contents dot sdata.contents + val ll1 = modeldata dot user + val ll2 = uu dot mm +// println("ll %f %f %f" format (ll0, ll1, ll2)) + val v1 = (-ll0 + 2*ll1 - ll2)/sdata.nnz + val v2 = -options.uprior*(user dot user)/sdata.nnz + (v1,v2) } } -class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(data0, opts) { +class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(opts) { - override def uupdate(data:Mat, model:Mat, user:Mat):Unit = { - (data, model, user) match { + var preds = blank + var prat = blank + var prod = blank + + override def uupdate(data:Mat, user:Mat):Unit = uupdate1(data, user) + + def uupdate1(data:Mat, user:Mat):Unit = { + (data, modelmat, user) match { case (sdata:SMat, fmodel:FMat, fuser:FMat) => { - val preds = DDS(fmodel, fuser, sdata) - val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) + preds = DDS(fmodel, fuser, sdata, preds) + val prat = sdata.ssMatOp(preds.asInstanceOf[SMat], (x:Float, y:Float) => x / math.max(options.weps, y)) val prod = fmodel * prat var i = 0; while (i < prod.ncols) { var j = 0; while (j < prod.nrows) { @@ -77,58 +102,102 @@ class LDAmodel(data0:SMat, opts:FactorModel.Options = new FactorModel.Options) e } } - override def mupdate(data:Mat, model:Mat, user:Mat, update:Mat) = { - (data, model, user, update) match { - case (sdata:SMat, fmodel:FMat, fuser:FMat, fupdate:FMat) => { - val preds = DDS(fmodel, fuser, sdata) - val prat = sdata.ssMatOp(preds, (x:Float, y:Float) => x / math.max(options.weps, y)) - fupdate ~ (prat * fuser.t).t - sum(fuser,2) * ones(1,size(fuser,2)) - val vdat = row(sdata.data) - val vpreds = row(preds.data) - mean(vdat *@ ln(max(options.weps, vpreds)) - gammaln(vdat)).dv - } - } + def uupdate2(data:Mat, user:Mat):Unit = { + preds = DDS(modelmat, user, data, preds) + max(options.weps, preds, preds) + prat = prat ~ data /@ preds + prod = prod ~ modelmat * prat + user ~ prod *@ user + user ~ user + options.uprior + exppsi(user, user) + } + + var ll = blank + var glvdat = blank + + override def mupdate(data:Mat, user:Mat):Unit = { + preds = DDS(modelmat, user, data, preds) + max(options.weps, preds, preds) + prat = prat ~ data /@ preds + updatemat ~ user xT prat; + updateDenom ~ sum(user,2) * user.ones(1,size(user,2)) + } + + override def eval(data:Mat, user:Mat):(Double, Double) = { + val vdat = data.contents + val vpreds = data.contents + max(options.weps, vpreds, vpreds) + ln(vpreds, ll) + ll ~ ll *@ vdat + glvdat = gammaln(vdat, glvdat) + ll ~ ll - glvdat + (mean(ll).dv,0) } } -abstract class FactorModel(data0:SMat, opts:FactorModel.Options) extends Model(data0, null, opts) { +abstract class FactorModel(opts:FactorModel.Options) extends Model { val options = opts - var d = 0 - - override def initmodel(data:Mat, user:Mat):Mat = initmodelf(data, user) + var idata = blank + var iuser = blank + var usertest = blank + var updateDenom = blank - def initmodelf(data:Mat, user:Mat):Mat = { - val m = size(data, 1) - val n = size(data, 2) - d = options.dim - modelmat = 0.1f*normrnd(0,1,d,m) - val out = if (user.asInstanceOf[AnyRef] == null) { - 0.1f*normrnd(0,1,d,n) + override def initmodel(data0:Mat, user0:Mat, datatest0:Mat, usertest0:Mat):(Mat, Mat) = { + val m = size(data0, 1) + val n = size(data0, 2) + val nt = size(datatest0, 2) + val d = options.dim + modelmat = 0.1f*rand(d,m) + val target = if (user0.asInstanceOf[AnyRef] == null) { + 0.1f*rand(d,n) } else{ - user + user0 + } + val testtarg = if (usertest0.asInstanceOf[AnyRef] == null) { + 0.1f*rand(d,nt) + } else{ + usertest0 + } + if (options.useGPU) { + modelmat = GMat(modelmat.asInstanceOf[FMat]) } updatemat = modelmat.zeros(d, m) - out + updateDenom = modelmat.zeros(d, m) + (target, testtarg) } - def initupdate(data:Mat, model:Mat, user:Mat) = {} + def initupdate(data:Mat, user:Mat) = {} - def uupdate(data:Mat, model:Mat, user:Mat):Unit + def uupdate(data:Mat, user:Mat):Unit - def mupdate(sdata:Mat, model:Mat, user:Mat, update:Mat):Double + def mupdate(sdata:Mat, user:Mat):Unit - override def gradfun(data:Mat, user:Mat):Double = { + override def gradfun(data0:Mat, user0:Mat) = { var i = 0 - initupdate(data, modelmat, user) + modelmat match { + case m:FMat => { + idata = data0 + iuser = user0 + } + case m:GMat => { + idata = GSMat.fromSMat(data0.asInstanceOf[SMat], idata.asInstanceOf[GSMat]) + iuser = GMat.fromFMat(user0.asInstanceOf[FMat], iuser.asInstanceOf[GMat]) + } + } + initupdate(idata, iuser) while (i < options.uiter) { - uupdate(data, modelmat, user) + uupdate(idata, iuser) i += 1 } - val v = mupdate(data, modelmat, user, updatemat) - v + (iuser, user0) match { + case (guser:GMat, fuser0:FMat) => { + fuser0 <-- guser + } + case _ => {} + } + mupdate(idata, iuser) } - } object NMFmodel { @@ -143,5 +212,7 @@ object FactorModel { var uiter = 10 var weps = 1e-10f var uprior = 0.01f + var mprior = 1e-4f + var minuser = 1e-8f } } diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index ff3aead6..2ce1cf5e 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -6,60 +6,74 @@ import BIDMat.Plotting._ import Learner._ import scala.collection.immutable.List -case class Learner(datamat:Mat, targetmat:Mat, datatest:Mat, targtest:Mat, +case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, model:Model, regularizer:Regularizer, updater:Updater, val opts:Learner.Options = new Learner.Options) { - val n = datamat.ncols + val n = datamat0.ncols val options = opts - val nw = options.memwindow/options.blocksize - val nww = options.convwindow/options.blocksize var tscores:List[Double] = List() var tscorex:List[Double] = List() var tsteps:List[Double] = List() + var targetmat:Mat = null def run() = { + var done:Boolean = false var ipass = 0 - var llest:Double = 0 - var llder:Double = 0 - var llold:Double = 0 + var llest = 0.0 + var llder = 0.0 + var llold = 0.0 var tsecs:Double = options.secprint var nsteps:Long = 0 + val (targetm, targettest) = model.initmodel(datamat0, targetmat0, datatest0, targtest0) + targetmat = targetm + updater.initupdater + if (regularizer != null) regularizer.initregularizer + var blocksize = options.blocksize tic while (ipass < options.npasses && ! done) { + ipass += 1 +// if (ipass > 2) blocksize = size(datamat0, 2) //math.min(size(datamat0, 2), 2*blocksize) var i = 0 + val nw = math.round(options.memwindow/blocksize).asInstanceOf[Double] + val nww = options.convwindow/blocksize while (i < n && ! done) { - var iend = math.min(n, i+options.blocksize) + var iend = math.min(n, i+blocksize) nsteps += iend - i - var dslice = datamat(?, i->iend) + var dslice = datamat0(?, i->iend) var tslice = targetmat(?, i->iend) - val tll = model.gradfun(dslice, tslice) - regularizer.compute(iend-i) + val nmodel = model.asInstanceOf[NMFmodel] +// val v0 = nmodel.eval(dslice, model.modelmat, tslice) + model.gradfun(dslice, tslice) + val (tll, tllx) = model.eval(dslice, tslice) + targetmat(?, i->iend) = tslice + if (regularizer != null) regularizer.compute(1.0f*(iend-i)/n) + val v1 = model.eval(dslice, tslice) updater.update(iend-i) + val v2 = model.eval(dslice, tslice) +// println("delta = %f, %f, %f, nw=%f" format (tll, v1._1, v2._1, nw)) - llest = (1/nw)*(tll + (nw-1)*llest) - llder = (1/nww)*(tll-llold + (nww-1)*llder) + llest = (1/(nw+1))*(tll + nw*llest) + llder = (1/(nww+1))*(tll-llold + nww*llder) llold = tll - i += options.blocksize + i += blocksize if (llder > 0 && llder < options.convslope) { done = true } if (toc >= tsecs || done || (i >= n)) { - val llx = model.gradfun(datatest, targtest) - println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f" format (ipass, nsteps/1000, toc, llest, llx)) + val tmp = model.asInstanceOf[FactorModel].options.uiter + model.asInstanceOf[FactorModel].options.uiter = 20 + val (llx, llxa) = model.eval(datatest0, targettest) + model.asInstanceOf[FactorModel].options.uiter = tmp + println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f(u%5.4f)" format (ipass, nsteps/1000, toc, llest, llx, llxa)) +// println("normu=%f, normm=%f, block=%d" format (norm(targetmat), norm(model.modelmat), blocksize)) tscores = tscores :+ -llest tscorex = tscorex :+ -llx tsteps = tsteps :+ nsteps.asInstanceOf[Double] tsecs += options.secprint } } - ipass += 1 } - val xvals = irow(1->(tscores.size+1)) - val timeplot = plot(xvals, drow(tscores), xvals, drow(tscorex)) - val stepplot = plot(drow(tsteps), drow(tscores), drow(tsteps), drow(tscorex)) - timeplot.setTitle("Neg. log likelihood vs time in seconds") - stepplot.setTitle("Neg. log likelihood vs number of samples") } } @@ -68,8 +82,8 @@ object Learner { class Options { var blocksize:Int = 8000 var npasses:Int = 100 - var memwindow:Double = 100000 - var convwindow:Double = 100000 + var memwindow:Double = 40000 + var convwindow:Double = 40000 var convslope:Double = -1e-6 var secprint:Double = 1 var eps:Float = 1e-8f diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index b2ea7183..449ce9cf 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -3,14 +3,16 @@ import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ -abstract class Model(data0:Mat, target0:Mat, opts:Model.Options) { +abstract class Model { var modelmat:Mat = null var updatemat:Mat = null - def initmodel(data:Mat, target:Mat):Mat + def initmodel(data:Mat, target:Mat, datatest:Mat, testtarg:Mat):(Mat, Mat) - def gradfun(data:Mat, target:Mat):Double + def gradfun(data:Mat, target:Mat):Unit + + def eval(data:Mat, target:Mat):(Double, Double) } @@ -19,6 +21,7 @@ object Model { class Options { var nzPerColumn:Int = 0 var startBlock = 8000 + var useGPU = false } def checkSize(a:Mat, nr:Int, nc:Int, b:Mat):Mat = { diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index dee26d3d..f9ccc7f3 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -5,22 +5,19 @@ import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ import Learner._ -class LinearRegModel(data0:Mat, target0:Mat, opts:RegressionModel.Options = new RegressionModel.Options) -extends RegressionModel(data0, target0, opts) { +class LinearRegModel(opts:RegressionModel.Options = new RegressionModel.Options) +extends RegressionModel(opts) { - var tmp0:Mat = null - var diff:Mat = null + var tmp0 = blank + var diff = blank def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { - diff = recycleTry(diff, targ) - tmp0 = recycleTry(tmp0, targ) - - diff ~ targ - pred - tmp0 ~ diff *@ diff - lls ~ tmp0 * -1 - gradw ~ diff * 2 + diff = diff ~ targ - pred + tmp0 = tmp0 ~ diff *@ diff + lls ~ tmp0 * -1 + gradw ~ diff * 2 } def linearMap2(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { @@ -40,8 +37,8 @@ extends RegressionModel(data0, target0, opts) { } } -class LogisticModel(data0:Mat, target0:Mat, opts:RegressionModel.Options = new RegressionModel.Options) -extends RegressionModel(data0, target0, opts) { +class LogisticModel(opts:RegressionModel.Options = new RegressionModel.Options) +extends RegressionModel(opts) { def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = logisticMap1(targ, pred, lls, gradw) @@ -85,7 +82,7 @@ extends RegressionModel(data0, target0, opts) { Mat.nflops += 8L * targ.length } - def logisticMap2(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { + def logisticMap2(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = { var i = 0 while (i < targ.length) { val tfact:Double = (1-2*targ.data(i)) @@ -97,7 +94,7 @@ extends RegressionModel(data0, target0, opts) { Mat.nflops += 14L * targ.length } - def logisticMap3(targ:Mat, pred:Mat, lls:Mat, gradw:Mat) = { + def logisticMap3(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = { tfact = recycleTry(tfact, targ) epred = recycleTry(epred, targ) tmp0 = recycleTry(tmp0, targ) @@ -111,7 +108,7 @@ extends RegressionModel(data0, target0, opts) { gradw ~ -1 * (tmp0 ~ tfact *@ (tmp1 ~ epred /@ (tmp0 ~ 1 + epred))) } - def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat) = { + def logisticMap4(targ:FMat, pred:FMat, lls:FMat, gradw:FMat):Unit = { ftfact = recycleTry(tfact, targ).asInstanceOf[FMat] fptfact = recycleTry(ptfact, targ).asInstanceOf[FMat] fepred = recycleTry(epred, targ).asInstanceOf[FMat] @@ -126,12 +123,14 @@ extends RegressionModel(data0, target0, opts) { } } -abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Options) - extends Model(data0, target0, opts) { +abstract class RegressionModel(opts:RegressionModel.Options) + extends Model { val options = opts var data:Mat = null var target:Mat = null + var testtarg:Mat = null + var ttarget:Mat = null var lls:Mat = null var tpred:Mat = null @@ -139,11 +138,10 @@ abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Opti def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit - override def initmodel(data:Mat, target:Mat):Mat = initmodelf(data, target) - - def initmodelf(data:Mat, target:Mat) = { - val m = size(data, 1) - val n = size(target, 1) + override def initmodel(data0:Mat, target0:Mat, datatest0:Mat, testtarg0:Mat):(Mat, Mat) = { + val m = size(data0, 1) + val n = size(target0, 1) + val k = options.startBlock if (options.transpose) { modelmat = 0.1f*normrnd(0,1,m,n) updatemat = modelmat.zeros(m,n) @@ -151,33 +149,29 @@ abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Opti modelmat = 0.1f*normrnd(0,1,n,m) updatemat = modelmat.zeros(n,m) } - target + if (options.useGPU) { + modelmat = GMat(modelmat.asInstanceOf[FMat]) + updatemat = GMat(updatemat.asInstanceOf[FMat]) + data = GSMat(m, k, k * options.nzPerColumn) + target = GMat(n, k) + testtarg = GMat(n, k) + } + (target0, testtarg0) } - def initmodelg(data0:Mat, target0:Mat):Mat = { - val m = size(data0, 1) - val n = size(target0, 1) - val k = options.startBlock - if (options.transpose) { - modelmat = gnormrnd(0,1,m,n)*0.1f - updatemat = modelmat.zeros(m,n) - } else { - modelmat = gnormrnd(0,1,n,m)*0.1f - updatemat = modelmat.zeros(n, m) - } - data = GSMat(m, k, k * options.nzPerColumn) - target = GMat(n, k) - target + override def eval(idata:Mat, itarget:Mat) = { + tpred ~ modelmat * data; + regfn(target, tpred, lls, gradw) + (mean(mean(lls,2)).dv, 0.0) } - override def gradfun(idata:Mat, itarget:Mat):Double = { + override def gradfun(idata:Mat, itarget:Mat):Unit = { if (options.transpose) { - ttarget = recycleTry(ttarget, itarget.ncols, itarget.nrows, itarget) - ttarget ~ itarget t; + ttarget = ttarget ~ itarget t; } else { ttarget = itarget } - lls = recycleTry(lls, ttarget.nrows, ttarget.ncols, modelmat) + lls = recycleTry(lls, ttarget.nrows, ttarget.ncols, modelmat, 0) tpred = recycleTry(tpred, lls) gradw = recycleTry(gradw, lls) modelmat match { @@ -199,7 +193,6 @@ abstract class RegressionModel(data0:Mat, target0:Mat, opts:RegressionModel.Opti tpred ~ modelmat * data; regfn(target, tpred, lls, gradw) updatemat ~ gradw xT data - mean(mean(lls,2)).dv } } } diff --git a/src/main/scala/BIDMach/Regularizer.scala b/src/main/scala/BIDMach/Regularizer.scala index a99d2923..9671dd56 100755 --- a/src/main/scala/BIDMach/Regularizer.scala +++ b/src/main/scala/BIDMach/Regularizer.scala @@ -5,26 +5,41 @@ import BIDMat.SciFunctions._ abstract class Regularizer(val model:Model, opts:Regularizer.Options = new Regularizer.Options) { val options = opts - def compute(step:Int) - val modelmat = model.modelmat - val updatemat = model.updatemat - var tmp0 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) - var tmp1 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) + var modelmat:Mat = null + var updatemat:Mat = null + var tmp0:Mat = null + var tmp1:Mat = null + + def compute(step:Float) + + def initregularizer = { + modelmat = model.modelmat + updatemat = model.updatemat + tmp0 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) + tmp1 = modelmat.zeros(size(modelmat,1), size(modelmat,2)) + } } class L1Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { - def compute(step:Int) = { + def compute(step:Float) = { sign(modelmat, tmp0) updatemat ~ updatemat + (tmp1 ~ tmp0 * (-step * options.mprior)) } } class L2Regularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { - def compute(step:Int) = { + def compute(step:Float) = { updatemat ~ updatemat + (tmp1 ~ modelmat * (-options.mprior * step)) } } +class L2MultRegularizer(model:Model, opts:Regularizer.Options = new Regularizer.Options) extends Regularizer(model, opts) { + def compute(step:Float) = { + val updateDenom = model.asInstanceOf[FactorModel].updateDenom + updateDenom ~ updateDenom + (tmp1 ~ updateDenom * (step*options.mprior)) + } +} + object Regularizer { class Options { var mprior:Float = 1e-7f diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index 1bd12c27..dba5b03c 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -2,67 +2,76 @@ package BIDMach import BIDMat.{Mat,BMat,CMat,DMat,FMat,IMat,HMat,GMat,GIMat,GSMat,SMat,SDMat} import BIDMat.MatFunctions._ import BIDMat.SciFunctions._ +import BIDMat.Plotting._ import Learner._ object TestLearner { - def runNMFLearner(rt:SMat, rtest:SMat) = { - val model = new NMFmodel(rt) - model.options.dim = 32 - model.options.uiter = 2 - model.options.uprior = 1e-4f + def runNMFLearner(rt:SMat, rtest:SMat):Learner = { + val model = new NMFmodel() + model.options.dim = 64 + model.options.uiter = 4 + model.options.uprior = 1e1f + model.options.mprior = 1e2f + model.options.minuser = 1e-8f model.options.nzPerColumn = 400 - val usertest = model.initmodel(rtest, null) - val usermat = model.initmodel(rt, null) - val regularizer = new L2Regularizer(model) - val updater = new ADAGradUpdater(model) - val learner = Learner(rt, usermat, rtest, usertest, model, regularizer, updater) - regularizer.options.mprior = 1e-4f - updater.options.alpha = 0.5f - updater.options.gradwindow = 4e5f - updater.options.initsumsq = 1e-3f - learner.options.npasses = 20 - learner.options.secprint = 100 + model.options.useGPU = false + +// val updater = new ADAMultUpdater(model) +// updater.options.alpha = 0.3f + val updater = new MultUpdater(model) + updater.options.alpha = 0.1f + updater.options.initnsteps = 8000f + + val learner = Learner(rt, null, rtest, null, model, null, updater) + learner.options.npasses = 10 + learner.options.secprint = 3 + learner.options.blocksize = size(rt,2)//40000 // learner.run + learner } - def runLogLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { - val model = new LogisticModel(rt, st) - model.initmodel(rt, st) + def runLogLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat):Learner = { + val model = new LogisticModel() + model.options.useGPU = false + val regularizer = new L1Regularizer(model) + regularizer.options.mprior = 1e-7f + val updater = new ADAGradUpdater(model) - val learner = Learner(rt, st > 4, rtest, stest > 4, model, regularizer, updater) - regularizer.options.mprior = 1e-7f updater.options.alpha = 300f updater.options.gradwindow = 1e6f + + val learner = Learner(rt, st > 4, rtest, stest > 4, model, regularizer, updater) learner.options.npasses = 20 learner.run + learner } - def runLinLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat) = { - val model = new LinearRegModel(rt, st) { - override def initmodel(data:Mat, target:Mat) = initmodelg(data, target) + def runLinLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat):Learner = { + val model = new LinearRegModel() { override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) } model.options.nzPerColumn = 400 model.options.transpose = false - model.initmodel(rt, st) + model.options.useGPU = false + val regularizer = new L1Regularizer(model) - val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } - val learner = Learner(rt, st, rtest, stest, model, regularizer, updater) regularizer.options.mprior = 1e-6f -// regularizer.options.beta = 1e-7f + + val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } + // regularizer.options.beta = 1e-7f updater.options.alpha = 200f updater.options.gradwindow = 1e6f - - learner.options.npasses = 20 - learner.options.secprint = 0.5 + + val learner = Learner(rt, st, rtest, stest, model, regularizer, updater) + learner.options.npasses = 10 + learner.options.secprint = 100 learner.run + learner } - def main(args: Array[String]): Unit = { - val ntest = args(0).toInt - Mat.checkCUDA + def runtest(ntest:Int):Learner = { tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") @@ -81,14 +90,32 @@ object TestLearner { val sttest = zeros(ntargs, size(stest,2)) for (i<-0 until size(stt,1)) {stt(i,?) = st; sttest(i,?) = stest} flip - ntest match { + val learner:Learner = ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) - case 3 => runNMFLearner(rt, rtest) - } - - + case 3 => runNMFLearner(rt > 0, rtest > 0) + } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) + val xvals = irow(1->(learner.tscores.size+1)) + val tscores = learner.tscores + val tscorex = learner.tscorex + val tsteps = learner.tsteps + val timeplot = semilogy(xvals, drow(tscores), xvals, drow(tscorex)) + val stepplot = semilogy(drow(tsteps), drow(learner.tscores), drow(tsteps), drow(tscorex)) + val modelhist = hist(log10(FMat(learner.model.modelmat)(?)),100) + val userhist = hist(log10(FMat(learner.targetmat)(?)),100) +// val userhist = hist(log10(FMat(targetmat)(?)),100) + timeplot.setTitle("Neg. log likelihood vs time in seconds") + stepplot.setTitle("Neg. log likelihood vs number of samples") + learner + } + + + + def main(args: Array[String]): Unit = { + val ntest = args(0).toInt + Mat.checkCUDA + runtest(ntest) } } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index d9e6a731..bd709fba 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -6,29 +6,141 @@ import BIDMat.SciFunctions._ import Learner._ trait Updater { - def update(step:Int):Unit + def update(step:Int):Unit; + def initupdater:Unit; +} + +class MultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.Options) extends Updater { + val options = opts + var nsteps = 0 + var updatesum:Mat = null + var updateDenomsum:Mat = null + var ratio = blank + var msum = blank + + def initupdater = { + nsteps = 0 + val modelmat = model.modelmat + updatesum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) + updateDenomsum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) + } + + def update(step:Int):Unit = { + val nw = (options.gradwindow/step) + val modelmat = model.modelmat + val updatemat = model.updatemat + val updateDenom = model.updateDenom + val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] +// updatesum ~ updatesum + updatemat +// updateDenomsum ~ updateDenomsum + updateDenom +// if (math.sqrt(nsteps) % 1 < 1e-9) { + + ratio = ratio ~ updatemat /@ updateDenom + max(0.2f, ratio, ratio) + min(5f, ratio, ratio) + modelmat ~ modelmat *@ ratio +// updatesum.clear +// updateDenomsum.clear +// } + msum = sum(modelmat, 2, msum) + msum ~ msum *@ sdim + modelmat ~ modelmat /@ msum + nsteps += 1 + } +} + +class ADAMultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.Options) extends Updater { + + var ratio = blank + var msum = blank + var tmp0 = blank + var tmp1 = blank + var diff = blank + var sumSq:Mat = null + val options = opts + var nsteps = options.initnsteps + var lastdiff:Mat = null + + def update(step:Int):Unit = update1(step) + + def initupdater = { + nsteps = options.initnsteps + val modelmat = model.modelmat + lastdiff = modelmat.zeros(size(modelmat,1),size(modelmat,2)) + nsteps = options.initnsteps + if (sumSq.asInstanceOf[AnyRef] == null) { + sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq + } else { + sumSq(?) = options.initsumsq + } + } + + def update1(step:Int):Unit = { + val nw = (options.gradwindow/step) + val modelmat = model.modelmat + val updatemat = model.updatemat + val updateDenom = model.updateDenom + val sdim = 1f/math.sqrt(size(modelmat,2)).asInstanceOf[Float] + + val weight = options.alpha * math.sqrt(options.initnsteps/nsteps).asInstanceOf[Float] +// val weight = options.alpha * math.sqrt(math.sqrt(options.initnsteps/nsteps)).asInstanceOf[Float] +// val weight = options.alpha + ratio = ratio ~ updatemat /@ updateDenom + diff = ln(ratio, diff) +// diff = diff ~ updatemat - updateDenom +/* diff ~ diff *@ modelmat + tmp0 = tmp0 ~ diff *@ diff + tmp1 = tmp1 ~ sumSq * (nw-1) + tmp0 ~ tmp0 + tmp1 + sumSq ~ tmp0 * (1/nw)*/ + +// if (nsteps > options.waitsteps) { +// diff ~ diff /@ sqrt(tmp0 ~ sumSq*(options.alpha * nsteps / options.initnsteps), tmp1) + diff ~ diff *@ weight + max(-1f, min(1f, diff, diff), diff) +// println("mean diff=%f" format mean(abs(diff.asInstanceOf[FMat])(?)).dv) + ratio = exp(diff, ratio) + modelmat ~ modelmat *@ ratio + max(options.minmodel, modelmat, modelmat) +// } + + msum = sum(modelmat, 2, msum) + msum ~ msum *@ sdim + modelmat ~ modelmat /@ msum + nsteps += step + } } class ADAGradUpdater(val model:Model, opts:Updater.Options = new Updater.Options) extends Updater { - var tmp0:Mat = null - var tmp1:Mat = null - var tmp2:Mat = null + var tmp0 = blank + var tmp1 = blank - val modelmat = model.modelmat - val updatemat = model.updatemat val options = opts - var nsteps = options.initnsteps - val sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq + var nsteps = 0f + + var sumSq:Mat = null + def initupdater = { + val modelmat = model.modelmat + nsteps = options.initnsteps + if (sumSq.asInstanceOf[AnyRef] == null) { + sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq + } else { + sumSq(?) = options.initsumsq + } + } + def update(step:Int):Unit = update1(step) def update1(step:Int):Unit = { + val modelmat = model.modelmat + val updatemat = model.updatemat val nw = (options.gradwindow/step) - tmp0 = recycleTry(tmp0, modelmat) - tmp1 = recycleTry(tmp1, modelmat) - tmp2 = recycleTry(tmp2, modelmat) - sumSq ~ (tmp1 ~ (tmp0 ~ updatemat *@ updatemat) + (tmp2 ~ sumSq*(nw-1))) * (1/nw) + tmp0 = tmp0 ~ updatemat *@ updatemat + tmp1 = tmp1 ~ sumSq * (nw-1) + tmp0 ~ tmp0 + tmp1 + sumSq ~ tmp0 * (1/nw) if (nsteps > options.waitsteps) { sqrt(tmp0 ~ sumSq*nsteps, tmp1) modelmat ~ modelmat + (tmp1 ~ (tmp0 ~ updatemat /@ tmp1) * options.alpha) @@ -37,6 +149,8 @@ class ADAGradUpdater(val model:Model, opts:Updater.Options = new Updater.Options } def update2(step:Int):Unit = { + val modelmat = model.modelmat + val updatemat = model.updatemat val nw = (options.gradwindow/step) val fmodel = modelmat.asInstanceOf[FMat] val fsumSq = sumSq.asInstanceOf[FMat] @@ -69,6 +183,7 @@ object Updater { var alpha:Float = 100f var initnsteps:Float = 1000f var initsumsq:Float = 1e-4f - var waitsteps = 100000 + var waitsteps = 200000 + var minmodel = 1e-7f } } From 934243081d087ab2a7bd9f1a5ab95977378b8f74 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 19:41:47 -0800 Subject: [PATCH 015/385] multi-GPU threading --- src/main/scala/BIDMach/FactorModel.scala | 30 +++++-- src/main/scala/BIDMach/Learner.scala | 104 ++++++++++++++++++++++- src/main/scala/BIDMach/Model.scala | 5 ++ src/main/scala/BIDMach/Regression.scala | 4 + src/main/scala/BIDMach/TestLearner.scala | 43 +++++----- src/main/scala/BIDMach/Updater.scala | 22 +++-- 6 files changed, 168 insertions(+), 40 deletions(-) diff --git a/src/main/scala/BIDMach/FactorModel.scala b/src/main/scala/BIDMach/FactorModel.scala index fceb0d42..29e8355b 100755 --- a/src/main/scala/BIDMach/FactorModel.scala +++ b/src/main/scala/BIDMach/FactorModel.scala @@ -7,6 +7,8 @@ import Learner._ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorModel(opts) { + + def make(opts:Model.Options) = new NMFmodel(opts.asInstanceOf[NMFmodel.Options]) var modeldata = blank var mm = blank @@ -56,23 +58,35 @@ class NMFmodel(opts:FactorModel.Options = new NMFmodel.Options) extends FactorMo updateDenom ~ uu * modelmat } - override def eval(sdata:Mat, user:Mat):(Double, Double) = { - modeldata = modeldata ~ modelmat * sdata - uu = uu ~ user xT user + override def eval(data0:Mat, user0:Mat):(Double, Double) = { + modelmat match { + case m:FMat => { + idata = data0 + iuser = user0 + } + case m:GMat => { + idata = GSMat.fromSMat(data0.asInstanceOf[SMat], idata.asInstanceOf[GSMat]) + iuser = GMat.fromFMat(user0.asInstanceOf[FMat], iuser.asInstanceOf[GMat]) + } + } + modeldata = modeldata ~ modelmat * idata + uu = uu ~ iuser xT iuser uu ~ uu + mdiag mm = mm ~ modelmat xT modelmat - val ll0 = sdata.contents dot sdata.contents - val ll1 = modeldata dot user + val ll0 = idata.contents dot idata.contents + val ll1 = modeldata dot iuser val ll2 = uu dot mm // println("ll %f %f %f" format (ll0, ll1, ll2)) - val v1 = (-ll0 + 2*ll1 - ll2)/sdata.nnz - val v2 = -options.uprior*(user dot user)/sdata.nnz + val v1 = (-ll0 + 2*ll1 - ll2)/idata.nnz + val v2 = -options.uprior*(iuser dot iuser)/idata.nnz (v1,v2) } } class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends FactorModel(opts) { + + def make(opts:Model.Options) = new LDAmodel(opts.asInstanceOf[FactorModel.Options]) var preds = blank var prat = blank @@ -137,7 +151,7 @@ class LDAmodel(opts:FactorModel.Options = new FactorModel.Options) extends Facto abstract class FactorModel(opts:FactorModel.Options) extends Model { - val options = opts + override val options = opts var idata = blank var iuser = blank var usertest = blank diff --git a/src/main/scala/BIDMach/Learner.scala b/src/main/scala/BIDMach/Learner.scala index 2ce1cf5e..73b12b09 100755 --- a/src/main/scala/BIDMach/Learner.scala +++ b/src/main/scala/BIDMach/Learner.scala @@ -27,7 +27,7 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, var nsteps:Long = 0 val (targetm, targettest) = model.initmodel(datamat0, targetmat0, datatest0, targtest0) targetmat = targetm - updater.initupdater + updater.initupdater(model) if (regularizer != null) regularizer.initregularizer var blocksize = options.blocksize tic @@ -48,9 +48,9 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, val (tll, tllx) = model.eval(dslice, tslice) targetmat(?, i->iend) = tslice if (regularizer != null) regularizer.compute(1.0f*(iend-i)/n) - val v1 = model.eval(dslice, tslice) +// val v1 = model.eval(dslice, tslice) updater.update(iend-i) - val v2 = model.eval(dslice, tslice) +// val v2 = model.eval(dslice, tslice) // println("delta = %f, %f, %f, nw=%f" format (tll, v1._1, v2._1, nw)) llest = (1/(nw+1))*(tll + nw*llest) @@ -66,6 +66,103 @@ case class Learner(datamat0:Mat, targetmat0:Mat, datatest0:Mat, targtest0:Mat, val (llx, llxa) = model.eval(datatest0, targettest) model.asInstanceOf[FactorModel].options.uiter = tmp println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f(u%5.4f)" format (ipass, nsteps/1000, toc, llest, llx, llxa)) +// println("normu=%f, normm=%f, block=%d" format (norm(targetmat), norm(model.modelmat), blocksize)) + tscores = tscores :+ -llest + tscorex = tscorex :+ -llx + tsteps = tsteps :+ nsteps.asInstanceOf[Double] + tsecs += options.secprint + } + } + } + } + + def runpar() = { + + val numthreads = options.numGPUthreads + var ipass = 0 + var llest = 0.0 + var llder = 0.0 + var llold = 0.0 + var tsecs:Double = options.secprint + var nsteps:Long = 0 + val curdevice = 0 + device(0) + val (targetm, targettest) = model.initmodel(datamat0, targetmat0, datatest0, targtest0) + targetmat = targetm + updater.initupdater(model) + val models = new Array[FactorModel](numthreads) +// println("got here 1, device=%d" format curdevice) + val nmodel = model.asInstanceOf[FactorModel] + models(0) = nmodel + for (i <- 1 until numthreads) { + device(i) + if (curdevice != i) connect(curdevice) + models(i) = model.make(model.options).asInstanceOf[FactorModel] + models(i).initmodel(datamat0, ones(1,1), datatest0, ones(1,1)) + } +// println("got here 2") + device(curdevice) + updater.initupdater(model) + if (regularizer != null) regularizer.initregularizer + var blocksize = options.blocksize + tic + while (ipass < options.npasses) { + ipass += 1 + var ipos = 0 + val nw = math.round(options.memwindow/blocksize).asInstanceOf[Double] + val nww = options.convwindow/blocksize + while (ipos < n) { +// println("got here 3") + val ind = math.min(n, ipos+numthreads*blocksize) + nsteps += ind - ipos + val tlls = zeros(numthreads,1) + val tllxs = zeros(numthreads,1) + val done = zeros(numthreads,1) +// var ithread = 0 + for (ithread <- 0 until numthreads) { + // scala.actors.Actor.actor { + device(ithread) + if (ithread > 0) models(ithread).modelmat <-- model.modelmat + val iloc = ipos + ithread*blocksize + var iend = math.min(n, iloc+blocksize) + if (iloc < iend) { + var dslice = datamat0(?, iloc->iend) + var tslice = targetmat(?, iloc->iend) + models(ithread).gradfun(dslice, tslice) + val (tll, tllx) = models(ithread).eval(dslice, tslice) + if (tll < -100) { + println("iloc=%d, iend=%d, ithread=%d, tll=%f" format (iloc, iend, ithread, tll)) + } + tlls(ithread) = tll + tllxs(ithread) = tllx + targetmat(?, iloc->iend) = tslice + if (regularizer != null) regularizer.compute(1.0f*(iend-iloc)/n) + } + done(ithread) = 1 +// println("done %d" format ithread) +// } + } +// println("got here 5") + while (sum(done).dv < numthreads) {Thread.sleep(10)} + device(curdevice) +// println("got here 6") + for (ithread <- 0 until numthreads) { + val iloc = ipos + ithread*blocksize + var iend = math.min(n, iloc+blocksize) + if (ithread > 0) { + model.updatemat <-- models(ithread).updatemat + nmodel.updateDenom <-- models(ithread).updateDenom + } + updater.update(iend-iloc) + llest = (1/(nw+1))*(tlls(ithread) + nw*llest) + } + ipos += numthreads*blocksize + if (toc >= tsecs || (ipos >= n)) { + val tmp = model.asInstanceOf[FactorModel].options.uiter + model.asInstanceOf[FactorModel].options.uiter = 20 + val (llx, llxa) = model.eval(datatest0, targettest) + model.asInstanceOf[FactorModel].options.uiter = tmp + println("pass=%d, n=%dk t=%3.1f secs, ll=%5.4f, llx=%5.4f(u%5.4f)" format (ipass, nsteps/1000, toc, llest, llx, llxa)) // println("normu=%f, normm=%f, block=%d" format (norm(targetmat), norm(model.modelmat), blocksize)) tscores = tscores :+ -llest tscorex = tscorex :+ -llx @@ -87,6 +184,7 @@ object Learner { var convslope:Double = -1e-6 var secprint:Double = 1 var eps:Float = 1e-8f + var numGPUthreads = 1 } def fsqrt(v:Float):Float = math.sqrt(v).asInstanceOf[Float] diff --git a/src/main/scala/BIDMach/Model.scala b/src/main/scala/BIDMach/Model.scala index 449ce9cf..28811644 100755 --- a/src/main/scala/BIDMach/Model.scala +++ b/src/main/scala/BIDMach/Model.scala @@ -5,7 +5,10 @@ import BIDMat.SciFunctions._ abstract class Model { + val options:Model.Options + var modelmat:Mat = null + var updatemat:Mat = null def initmodel(data:Mat, target:Mat, datatest:Mat, testtarg:Mat):(Mat, Mat) @@ -13,6 +16,8 @@ abstract class Model { def gradfun(data:Mat, target:Mat):Unit def eval(data:Mat, target:Mat):(Double, Double) + + def make(opts:Model.Options):Model } diff --git a/src/main/scala/BIDMach/Regression.scala b/src/main/scala/BIDMach/Regression.scala index f9ccc7f3..67c6b6e3 100755 --- a/src/main/scala/BIDMach/Regression.scala +++ b/src/main/scala/BIDMach/Regression.scala @@ -11,6 +11,8 @@ extends RegressionModel(opts) { var tmp0 = blank var diff = blank + def make(opts:Model.Options) = new LinearRegModel(opts.asInstanceOf[RegressionModel.Options]) + def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) def linearMap1(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit= { @@ -39,6 +41,8 @@ extends RegressionModel(opts) { class LogisticModel(opts:RegressionModel.Options = new RegressionModel.Options) extends RegressionModel(opts) { + + def make(opts:Model.Options) = new LogisticModel(opts.asInstanceOf[RegressionModel.Options]) def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = logisticMap1(targ, pred, lls, gradw) diff --git a/src/main/scala/BIDMach/TestLearner.scala b/src/main/scala/BIDMach/TestLearner.scala index dba5b03c..ca82a10b 100755 --- a/src/main/scala/BIDMach/TestLearner.scala +++ b/src/main/scala/BIDMach/TestLearner.scala @@ -9,25 +9,26 @@ import Learner._ object TestLearner { def runNMFLearner(rt:SMat, rtest:SMat):Learner = { val model = new NMFmodel() - model.options.dim = 64 + model.options.dim = 256 model.options.uiter = 4 model.options.uprior = 1e1f model.options.mprior = 1e2f model.options.minuser = 1e-8f model.options.nzPerColumn = 400 - model.options.useGPU = false + model.options.useGPU = true -// val updater = new ADAMultUpdater(model) -// updater.options.alpha = 0.3f - val updater = new MultUpdater(model) + val updater = new ADAMultUpdater updater.options.alpha = 0.1f +// val updater = new MultUpdater(model) +// updater.options.alpha = 0.1f updater.options.initnsteps = 8000f val learner = Learner(rt, null, rtest, null, model, null, updater) - learner.options.npasses = 10 - learner.options.secprint = 3 - learner.options.blocksize = size(rt,2)//40000 // - learner.run + learner.options.npasses = 4 + learner.options.secprint = 100 + learner.options.blocksize = 8000 //size(rt,2)//40000 // + learner.options.numGPUthreads = 4 + learner.runpar learner } @@ -38,7 +39,7 @@ object TestLearner { val regularizer = new L1Regularizer(model) regularizer.options.mprior = 1e-7f - val updater = new ADAGradUpdater(model) + val updater = new ADAGradUpdater updater.options.alpha = 300f updater.options.gradwindow = 1e6f @@ -51,7 +52,7 @@ object TestLearner { def runLinLearner(rt:SMat, st:FMat, rtest:SMat, stest:FMat):Learner = { val model = new LinearRegModel() { override def regfn(targ:Mat, pred:Mat, lls:Mat, gradw:Mat):Unit = linearMap1(targ, pred, lls, gradw) - } + } model.options.nzPerColumn = 400 model.options.transpose = false model.options.useGPU = false @@ -59,7 +60,7 @@ object TestLearner { val regularizer = new L1Regularizer(model) regularizer.options.mprior = 1e-6f - val updater = new ADAGradUpdater(model) { override def update(step:Int):Unit = update1(step) } + val updater = new ADAGradUpdater { override def update(step:Int):Unit = update1(step) } // regularizer.options.beta = 1e-7f updater.options.alpha = 200f updater.options.gradwindow = 1e6f @@ -74,13 +75,13 @@ object TestLearner { def runtest(ntest:Int):Learner = { tic val dirname = "d:\\sentiment\\sorted_data\\books\\parts\\" - val revtrain:SDMat = load(dirname+"part1.mat", "revtrain") - val revtest:SDMat = load(dirname+"part1.mat", "revtest") + val revtrain:SMat = load(dirname+"xpart1.mat", "revtrain") + val revtest:SMat = load(dirname+"xpart1.mat", "revtest") val t1 = toc; tic - val rt = SMat(revtrain)(0->40000,0->(8000*(size(revtrain,2)/8000))) - val rtest = SMat(revtest)(0->40000,0->(8000*(size(revtest,2)/8000))) - val scrtrain:IMat = load(dirname+"part1.mat", "scrtrain") - val scrtest:IMat = load(dirname+"part1.mat", "scrtest") + val rt = revtrain(0->40000,0->(8000*(size(revtrain,2)/8000))) + val rtest = revtest(0->40000,0->(8000*(size(revtest,2)/8000))) + val scrtrain:IMat = load(dirname+"xpart1.mat", "scrtrain") + val scrtest:IMat = load(dirname+"xpart1.mat", "scrtest") val st = FMat(scrtrain).t val stest = (FMat(scrtest).t)(?,0->(8000*(size(revtest,2)/8000))) val t2 = toc @@ -93,7 +94,7 @@ object TestLearner { val learner:Learner = ntest match { case 1 => runLinLearner(rt, stt, rtest, sttest) case 2 => runLogLearner(rt, stt, rtest, sttest) - case 3 => runNMFLearner(rt > 0, rtest > 0) + case 3 => runNMFLearner(rt , rtest) } val (ff, tt) = gflop println("Time=%5.3f, gflops=%3.2f" format (tt, ff)) @@ -103,11 +104,11 @@ object TestLearner { val tsteps = learner.tsteps val timeplot = semilogy(xvals, drow(tscores), xvals, drow(tscorex)) val stepplot = semilogy(drow(tsteps), drow(learner.tscores), drow(tsteps), drow(tscorex)) - val modelhist = hist(log10(FMat(learner.model.modelmat)(?)),100) - val userhist = hist(log10(FMat(learner.targetmat)(?)),100) // val userhist = hist(log10(FMat(targetmat)(?)),100) timeplot.setTitle("Neg. log likelihood vs time in seconds") stepplot.setTitle("Neg. log likelihood vs number of samples") + val modelhist = hist(log10(FMat(learner.model.modelmat)(?)),100) +// val userhist = hist(log10(FMat(learner.targetmat)(?)),100) learner } diff --git a/src/main/scala/BIDMach/Updater.scala b/src/main/scala/BIDMach/Updater.scala index bd709fba..850d9b17 100755 --- a/src/main/scala/BIDMach/Updater.scala +++ b/src/main/scala/BIDMach/Updater.scala @@ -7,19 +7,21 @@ import Learner._ trait Updater { def update(step:Int):Unit; - def initupdater:Unit; + def initupdater(model:Model):Unit; } -class MultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.Options) extends Updater { +class MultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { val options = opts var nsteps = 0 var updatesum:Mat = null var updateDenomsum:Mat = null var ratio = blank var msum = blank + var model:FactorModel = null - def initupdater = { + def initupdater(model0:Model) = { nsteps = 0 + model = model0.asInstanceOf[FactorModel] val modelmat = model.modelmat updatesum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) updateDenomsum = modelmat.zeros(size(modelmat,1),size(modelmat,2)) @@ -49,7 +51,7 @@ class MultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.Opti } } -class ADAMultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.Options) extends Updater { +class ADAMultUpdater(opts:Updater.Options = new Updater.Options) extends Updater { var ratio = blank var msum = blank @@ -60,10 +62,12 @@ class ADAMultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.O val options = opts var nsteps = options.initnsteps var lastdiff:Mat = null + var model:FactorModel = null def update(step:Int):Unit = update1(step) - def initupdater = { + def initupdater(model0:Model) = { + model = model0.asInstanceOf[FactorModel] nsteps = options.initnsteps val modelmat = model.modelmat lastdiff = modelmat.zeros(size(modelmat,1),size(modelmat,2)) @@ -71,7 +75,7 @@ class ADAMultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.O if (sumSq.asInstanceOf[AnyRef] == null) { sumSq = modelmat.ones(size(modelmat,1), size(modelmat,2)) * options.initsumsq } else { - sumSq(?) = options.initsumsq + sumSq.set(options.initsumsq) } } @@ -111,17 +115,19 @@ class ADAMultUpdater(val model:FactorModel, opts:Updater.Options = new Updater.O } } -class ADAGradUpdater(val model:Model, opts:Updater.Options = new Updater.Options) extends Updater { +class ADAGradUpdater(opts:Updater.Options = new Updater.Options) extends Updater { var tmp0 = blank var tmp1 = blank val options = opts var nsteps = 0f + var model:FactorModel = null var sumSq:Mat = null - def initupdater = { + def initupdater(model0:Model) = { + model = model0.asInstanceOf[FactorModel] val modelmat = model.modelmat nsteps = options.initnsteps if (sumSq.asInstanceOf[AnyRef] == null) { From 3836bda99f2e2726b19cfb0801d66dde972ce9d1 Mon Sep 17 00:00:00 2001 From: jcanny Date: Tue, 13 Nov 2012 19:53:54 -0800 Subject: [PATCH 016/385] fixes to multiGPU threading --- BIDMach.jar | Bin 69682 -> 97297 bytes src/main/scala/BIDMach/TestLearner.scala | 6 +++--- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/BIDMach.jar b/BIDMach.jar index b17e2cebbddf83483a7ab89372d0e19a2092d33f..9b82d17a949cba57cf3f3f7c7d6d7421e5c8c5de 100755 GIT binary patch delta 88309 zcmZU)V{jl{)HRw3Cbn(cwl%SB+w3G0+nm^TGO=w;Y)owX&h!4b_q*>`bxzejRo#EK 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