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Add env to chose blocklen of blockwise quantize.
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Fix pytest of blockwise error
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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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* add support for head dim > 128
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* remove debugging
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* fix tols for Unfused
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* Added support of FP4 data type
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* Refactoring to BitsNum in progress
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* Fixed errors in JAX C++ extensions
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* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 
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Revert "[JAX] GroupedDense v.2 without dynamic shape (#1721)"

This reverts commit 5d01ef21

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Same intention of commit 3e38a2ea

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This commit is to improve acc.
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* refactor the multi_stream utils + implement nvte_multi_tensor_quantize in TE/Common

* implement GroupedQuantizer and grouped_quantize in jaxx

* fix logical_axes_names for transpose tensor in ScaledTensor
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quantize_transpose_vector_blockwise function use lds exceeding 64kb when
input type is fp32. But max size of lds in dcu is 64kb, thus we use lds
as bfp16 for workaround.
Signed-off-by: wenjh <wenjh@sugon.com>

[PyTorch] FP8 Subchannel Recipe With FP8 Gather And Configurable Scaling Factor Tensor Swizzling (#1707)

* functional kernel for columnwise + no-transpose option, still hacky
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* bug fix of single layer test
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* fix return_layernorm_output_gathered case
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Use ocp fp8.
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