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"jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "3345b6b3a231cfe82d336f22003ea0356a8ad535172eda8fe4b5b1a4254f2386" +content-hash = "d68966a5fb295837e2e628242c1cae9d9da69ec7a84c06d3f35aa4303b2dfeee" diff --git a/backends/python/server/pyproject.toml b/backends/python/server/pyproject.toml index 96fcaf9e..b07bd153 100644 --- a/backends/python/server/pyproject.toml +++ b/backends/python/server/pyproject.toml @@ -9,18 +9,19 @@ python-text-embeddings-server = 'text_embeddings_server.cli:app' [tool.poetry.dependencies] python = ">=3.9,<3.13" -protobuf = "^4.21.7" +protobuf = ">=4.25.3,<6" grpcio = "^1.51.1" grpcio-status = "^1.51.1" grpcio-reflection = "^1.51.1" grpc-interceptor = "^0.15.0" typer = "^0.6.1" -safetensors = "^0.3.2" +safetensors = "^0.4" loguru = "^0.6.0" -opentelemetry-api = "^1.15.0" -opentelemetry-exporter-otlp = "^1.15.0" -opentelemetry-instrumentation-grpc = "^0.36b0" -torch = { version = "^2.0.1" } +opentelemetry-api = "^1.25.0" +opentelemetry-exporter-otlp = "^1.25.0" +opentelemetry-instrumentation-grpc = "^0.46b0" +sentence-transformers = "^3.3.1" +torch = "^2.5.1" [tool.poetry.extras] diff --git a/backends/python/server/requirements.txt b/backends/python/server/requirements.txt index 89ca314d..687ec102 100644 --- a/backends/python/server/requirements.txt +++ b/backends/python/server/requirements.txt @@ -1,43 +1,68 @@ -backoff==2.2.1 ; python_version >= "3.9" and python_version < "3.13" -certifi==2023.7.22 ; python_version >= "3.9" and python_version < "3.13" -charset-normalizer==3.2.0 ; python_version >= "3.9" and python_version < "3.13" +certifi==2024.8.30 ; python_version >= "3.9" and python_version < "3.13" +charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13" click==8.1.7 ; python_version >= "3.9" and python_version < "3.13" colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows") -deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" -filelock==3.12.3 ; python_version >= "3.9" and python_version < "3.13" -fsspec==2023.9.0 ; python_version >= "3.9" and python_version < "3.13" -googleapis-common-protos==1.60.0 ; python_version >= "3.9" and python_version < "3.13" -grpc-interceptor==0.15.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio-reflection==1.58.0 ; python_version >= "3.9" and python_version < "3.13" -grpcio-status==1.58.0 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.58.0 ; python_version >= "3.9" and python_version < "3.13" -huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13" -idna==3.4 ; python_version >= "3.9" and python_version < "3.13" -jinja2==3.1.2 ; python_version >= "3.9" and python_version < "3.13" +deprecated==1.2.15 ; python_version >= "3.9" and python_version < "3.13" +filelock==3.16.1 ; python_version >= "3.9" and python_version < "3.13" +fsspec==2024.10.0 ; python_version >= "3.9" and python_version < "3.13" +googleapis-common-protos==1.66.0 ; python_version >= "3.9" and python_version < "3.13" +grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" +grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13" +grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.68.0 ; python_version >= "3.9" and python_version < "3.13" +huggingface-hub==0.26.2 ; python_version >= "3.9" and python_version < "3.13" +idna==3.10 ; python_version >= "3.9" and python_version < "3.13" +importlib-metadata==7.1.0 ; python_version >= "3.9" and python_version < "3.13" +jinja2==3.1.4 ; python_version >= "3.9" and python_version < "3.13" +joblib==1.4.2 ; python_version >= "3.9" and python_version < "3.13" loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13" -markupsafe==2.1.3 ; python_version >= "3.9" and python_version < "3.13" +markupsafe==3.0.2 ; python_version >= "3.9" and python_version < "3.13" mpmath==1.3.0 ; python_version >= "3.9" and python_version < "3.13" -networkx==3.1 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation-grpc==0.36b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation==0.36b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13" -packaging==23.1 ; python_version >= "3.9" and python_version < "3.13" -protobuf==4.24.3 ; python_version >= "3.9" and python_version < "3.13" -pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13" -requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13" -safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13" -setuptools==68.2.0 ; python_version >= "3.9" and python_version < "3.13" -sympy==1.12 ; python_version >= "3.9" and python_version < "3.13" -torch==2.0.1 ; python_version >= "3.9" and python_version < "3.13" -tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13" +networkx==3.2.1 ; python_version >= "3.9" and python_version < "3.13" +numpy==2.0.2 ; python_version >= "3.9" and python_version < "3.13" +nvidia-cublas-cu12==12.4.5.8 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cuda-cupti-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cuda-runtime-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cudnn-cu12==9.1.0.70 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cufft-cu12==11.2.1.3 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-curand-cu12==10.3.5.147 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cusolver-cu12==11.6.1.9 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-cusparse-cu12==12.3.1.170 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-nccl-cu12==2.21.5 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-nvjitlink-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +nvidia-nvtx-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.9" and python_version < "3.13" +opentelemetry-api==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-common==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-grpc==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-http==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation-grpc==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-proto==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-sdk==1.25.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-semantic-conventions==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +packaging==24.2 ; python_version >= "3.9" and python_version < "3.13" +pillow==11.0.0 ; python_version >= "3.9" and python_version < "3.13" +protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13" +pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" +regex==2024.11.6 ; python_version >= "3.9" and python_version < "3.13" +requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" +safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13" +scikit-learn==1.5.2 ; python_version >= "3.9" and python_version < "3.13" +scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13" +sentence-transformers==3.3.1 ; python_version >= "3.9" and python_version < "3.13" +setuptools==75.6.0 ; python_version >= "3.9" and python_version < "3.13" +sympy==1.13.1 ; python_version >= "3.9" and python_version < "3.13" +threadpoolctl==3.5.0 ; python_version >= "3.9" and python_version < "3.13" +tokenizers==0.20.3 ; python_version >= "3.9" and python_version < "3.13" +torch==2.5.1 ; python_version >= "3.9" and python_version < "3.13" +tqdm==4.67.1 ; python_version >= "3.9" and python_version < "3.13" +transformers==4.46.3 ; python_version >= "3.9" and python_version < "3.13" +triton==3.1.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.13" and python_version >= "3.9" typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13" -typing-extensions==4.7.1 ; python_version >= "3.9" and python_version < "3.13" -urllib3==2.0.4 ; python_version >= "3.9" and python_version < "3.13" +typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13" +urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" -wrapt==1.15.0 ; python_version >= "3.9" and python_version < "3.13" +wrapt==1.17.0 ; python_version >= "3.9" and python_version < "3.13" +zipp==3.21.0 ; python_version >= "3.9" and python_version < "3.13" diff --git a/backends/python/server/text_embeddings_server/cli.py b/backends/python/server/text_embeddings_server/cli.py index 9497dc20..8398f65f 100644 --- a/backends/python/server/text_embeddings_server/cli.py +++ b/backends/python/server/text_embeddings_server/cli.py @@ -24,6 +24,7 @@ def serve( json_output: bool = False, otlp_endpoint: Optional[str] = None, otlp_service_name: str = "text-embeddings-inference.server", + pool: str = "cls", ): # Remove default handler logger.remove() @@ -48,7 +49,7 @@ def serve( # Downgrade enum into str for easier management later on dtype = None if dtype is None else dtype.value - server.serve(model_path, dtype, uds_path) + server.serve(model_path, dtype, uds_path, pool) if __name__ == "__main__": diff --git a/backends/python/server/text_embeddings_server/models/__init__.py b/backends/python/server/text_embeddings_server/models/__init__.py index 47867187..0e7ec29c 100644 --- a/backends/python/server/text_embeddings_server/models/__init__.py +++ b/backends/python/server/text_embeddings_server/models/__init__.py @@ -25,7 +25,7 @@ __all__.append(FlashBert) -def get_model(model_path: Path, dtype: Optional[str]): +def get_model(model_path: Path, dtype: Optional[str], pool: str): if dtype == "float32": dtype = torch.float32 elif dtype == "float16": @@ -38,8 +38,6 @@ def get_model(model_path: Path, dtype: Optional[str]): if torch.cuda.is_available(): device = torch.device("cuda") else: - if dtype != torch.float32: - raise ValueError("CPU device only supports float32 dtype") device = torch.device("cpu") config = AutoConfig.from_pretrained(model_path) @@ -52,8 +50,10 @@ def get_model(model_path: Path, dtype: Optional[str]): and dtype in [torch.float16, torch.bfloat16] and FLASH_ATTENTION ): + if pool != "cls": + raise ValueError("FlashBert only supports cls pooling") return FlashBert(model_path, device, dtype) else: - return DefaultModel(model_path, device, dtype) + return DefaultModel(model_path, device, dtype, pool) raise NotImplementedError diff --git a/backends/python/server/text_embeddings_server/models/default_model.py b/backends/python/server/text_embeddings_server/models/default_model.py index dc39fdc8..5bd89177 100644 --- a/backends/python/server/text_embeddings_server/models/default_model.py +++ b/backends/python/server/text_embeddings_server/models/default_model.py @@ -5,6 +5,7 @@ from typing import Type, List from transformers import AutoModel from opentelemetry import trace +from sentence_transformers.models import Pooling from text_embeddings_server.models import Model from text_embeddings_server.models.types import PaddedBatch, Embedding @@ -13,9 +14,12 @@ class DefaultModel(Model): - def __init__(self, model_path: Path, device: torch.device, dtype: torch.dtype): + def __init__( + self, model_path: Path, device: torch.device, dtype: torch.dtype, pool: str + ): model = AutoModel.from_pretrained(model_path).to(dtype).to(device) self.hidden_size = model.config.hidden_size + self.pooling = Pooling(self.hidden_size, pooling_mode=pool) self.has_position_ids = ( inspect.signature(model.forward).parameters.get("position_ids", None) @@ -41,7 +45,13 @@ def embed(self, batch: PaddedBatch) -> List[Embedding]: kwargs["position_ids"] = batch.position_ids output = self.model(**kwargs) - embedding = output[0][:, 0] + + pooling_features = { + "token_embeddings": output[0], + "attention_mask": batch.attention_mask, + } + embedding = self.pooling.forward(pooling_features)["sentence_embedding"] + cpu_results = embedding.view(-1).tolist() return [ diff --git a/backends/python/server/text_embeddings_server/server.py b/backends/python/server/text_embeddings_server/server.py index d0a43ace..ff31b70c 100644 --- a/backends/python/server/text_embeddings_server/server.py +++ b/backends/python/server/text_embeddings_server/server.py @@ -1,6 +1,5 @@ import asyncio import torch - from grpc import aio from loguru import logger @@ -37,6 +36,7 @@ def serve( model_path: Path, dtype: Optional[str], uds_path: Path, + pool: str, ): async def serve_inner( model_path: Path, @@ -45,7 +45,7 @@ async def serve_inner( unix_socket = f"unix://{uds_path}" try: - model = get_model(model_path, dtype) + model = get_model(model_path, dtype, pool) except Exception: logger.exception("Error when initializing model") raise diff --git a/backends/python/src/lib.rs b/backends/python/src/lib.rs index 195f1d37..34ee74d0 100644 --- a/backends/python/src/lib.rs +++ b/backends/python/src/lib.rs @@ -5,7 +5,7 @@ use backend_grpc_client::Client; use nohash_hasher::BuildNoHashHasher; use std::collections::HashMap; use text_embeddings_backend_core::{ - Backend, BackendError, Batch, Embedding, Embeddings, ModelType, Pool, Predictions, + Backend, BackendError, Batch, Embedding, Embeddings, ModelType, Predictions, }; use tokio::runtime::Runtime; @@ -24,18 +24,13 @@ impl PythonBackend { otlp_endpoint: Option, otlp_service_name: String, ) -> Result { - match model_type { + let pool = match model_type { ModelType::Classifier => { return Err(BackendError::Start( "`classifier` model type is not supported".to_string(), )) } - ModelType::Embedding(pool) => { - if pool != Pool::Cls { - return Err(BackendError::Start(format!("{pool:?} is not supported"))); - } - pool - } + ModelType::Embedding(pool) => pool, }; let backend_process = management::BackendProcess::new( @@ -44,6 +39,7 @@ impl PythonBackend { &uds_path, otlp_endpoint, otlp_service_name, + pool, )?; let tokio_runtime = tokio::runtime::Builder::new_current_thread() .enable_all() diff --git a/backends/python/src/management.rs b/backends/python/src/management.rs index 911c6984..1ae004fd 100644 --- a/backends/python/src/management.rs +++ b/backends/python/src/management.rs @@ -8,7 +8,7 @@ use std::sync::mpsc; use std::thread::sleep; use std::time::{Duration, Instant}; use std::{env, fs, io, thread}; -use text_embeddings_backend_core::BackendError; +use text_embeddings_backend_core::{BackendError, Pool}; #[derive(Debug)] pub(crate) struct BackendProcess { @@ -22,6 +22,7 @@ impl BackendProcess { uds_path: &str, otlp_endpoint: Option, otlp_service_name: String, + pool: Pool, ) -> Result { // Get UDS path let uds = Path::new(uds_path); @@ -31,6 +32,15 @@ impl BackendProcess { fs::remove_file(uds).expect("could not remove UDS file"); } + let pool = match pool { + Pool::Cls => "cls", + Pool::Mean => "mean", + Pool::LastToken => "lasttoken", + Pool::Splade => { + return Err(BackendError::Start(format!("{pool:?} is not supported"))); + } + }; + // Process args let mut python_server_args = vec![ model_path, @@ -41,6 +51,8 @@ impl BackendProcess { "--logger-level".to_owned(), "INFO".to_owned(), "--json-output".to_owned(), + "--pool".to_owned(), + pool.to_owned(), ]; // OpenTelemetry