GitLab

Add env to chose blocklen of blockwise quantize.
Signed-off-by: wenjh <wenjh@sugon.com>

Fix pytest of blockwise error
Signed-off-by: wenjh <wenjh@sugon.com>

Resolve new api in  int8 gemm test
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Fix incorrect launch parm
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Fix 1D blockwise(64) acc error
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Use ocp fp8.
Workaround: test_cast_float8blockwise.cu link wrong std::max
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* Added token ignoring for CE loss
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* Added tests
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* Cleanup runtime library loading
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Add rules of cuda_runtime.h, cuda_driver.h and cuda_nvml.h to hip.
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* rm unused swizzle extensions
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* Fix swizzle
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* transformer_engine
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* revert accidental perm change
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* Set sequence_parallel before super().__init__() in norm modules
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* getattr(self, sequence_parallel, None) -> self.sequence_parallel
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* disable sm89 and cuDNN < 9.11 for KV caching
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* disable some numerics tests
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* Disallow kwargs for pybind extensions and release GIL if possible
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* Wrap nvte_* calls
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* Fix
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* Fix test
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* Move grad outside autocast
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* Fix kv cache
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* Address review comments
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* Change src file name in cmake
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* move the kernels too
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* Avoid spurious warning with non-FP8 GroupedLinear
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* Use `QuantizedTensorBase`
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* use lru to cache torch.Tensor()
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* remove duplicated definition
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* Update transformer_engine/pytorch/tensor/utils.py
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* Fix lint
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* Initial work toward restoring UB support in te.Sequential
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* Forward UB linear runs, but has numerical error
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* Debug UB forward tests
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* Minor tweaks
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* Add dim check for MXFP8 full tiles
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* Debug UB linear backward with no quantization

dgrad GEMM + dx RS is still broken.
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* Tweak test tensor dims
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* Do not store autograd context within wgrad GEMM closure
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* Fix linter warnings
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* Update LayerNormLinear
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* Update LayerNormMLP
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* Debug UB tests
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* Minor style tweaks
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* Fix incorrect usage for GEMM input with block-scaled FP8
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* Fix RS out dims
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* Disable dgrad GEMM + UB AG + NCCL AG overlap in te.Sequential
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* Restore support for internal quantized tensors
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* Add tests for MXFP8 GEMM with UB
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* Fix linter warnings
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* Debug test failures
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* Changes to Linear
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* Fix
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* Add QuantizedTensorBase class
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* Change the blockwise tensor.
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* Fixes
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Fix launch bounds of multi_tensor_apply_kernel and
thd_out_correction_kernel.
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