Tensor improvements #3
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ccummingsNV
commented
Jan 14, 2025
ccummingsNV
commented
- Tensor initialization can happen with more flexible datatypes (as with NDBuffer)
- Simplified Tensor.with_grads to support calling with no args
- Re-ordered tensor init args to match buffers
- Fixed bug in specialize that was incorrectly assuming a function had a return type if returntype!=none
… flexible dtype specification
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