Comments (2)
We also need to implement grad for conv, right? Any other grad missing?
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Oh, to answer my safe, we need grad for reduce, but we will probably raise and provide a way for custom grads.
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Related Issues (20)
- Convert Nx.LinAlg.qr to optional callback HOT 1
- Convert Nx.LinAlg.cholesky to optional callback
- Fix sign of zero values in Nx.ceil and Nx.conjugate HOT 1
- Add executable-level caching to Nx.Defn in EXLA HOT 1
- Nx.LinAlg.solve/2 with Nx.BinaryBackend returns tensor with wrong state HOT 6
- Nx.all_close not working with EXLA HOT 13
- How to Set XLA log level?? HOT 2
- could not compile dependency :exla HOT 3
- Implement Nx.stack as a default callback
- Expand docs for the :axes option in Nx.gather/3 HOT 2
- Remove xla compiler_mode
- Use regions when compiling `if` in MLIR HOT 1
- Quantization via MLIR
- Special node acceleration via metadata HOT 6
- Import and export of MLIR modules
- function Torchx.__jit__/5 is undefined or private HOT 2
- Geometric / Clifford algebra in arbitrary dimensions HOT 4
- Automatically track which variables are inside if/cond/while
- Data Loaders in Nx? HOT 6
- Cannot transform dummy columns to Nx Tensors via Nx.stack HOT 3
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