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Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

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
Signed-off-by: wenjh <wenjh@sugon.com>

Fix incorrect launch parm
Signed-off-by: wenjh <wenjh@sugon.com>

Fix 1D blockwise(64) acc error
Signed-off-by: wenjh <wenjh@sugon.com>

[DCU] fix megatron MOE int8 train bugs

See merge request dcutoolkit/deeplearing/TransformerEngine!37

[DCU] fix megatron MOE int train issues

See merge request dcutoolkit/deeplearing/TransformerEngine!36

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Merge commit 'a69692ac' of https://github.com/NVIDIA/TransformerEngine

[DCU] fix in8 simul fp8 fused wgrad accumulation

See merge request dcutoolkit/deeplearing/TransformerEngine!32

Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add support for Fused Attn MLA head_dim_qk != head_dim_v
	Modify is_fused_attn_kernel_available() to accept different head_dims for qk and v
	Modify FusedAttnHelper to accept different head_dims for qk and v and modify assert dims checks in parse_qkv_aval()
	Modify FusedAttnFwdPrimitive and FusedAttnBwdPrimitive to accept different head_dims for qk and v
	Modify Fused Attn related cpp and csrc extension API calls to accept different head_dims for qk and v
	Modify DotProductAttention call() to extract head dims separately for qk and v
	Modify the FusedAttn Tests to accommodate for API changes in FusedAttn API
	Add test case for head_dim_qk != head_dim_v (failing)
	Modify the baseline JAX appropriately to reshape the output vector based on v dims and not q dims
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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* Fix context dims in general DPA in test_fused_attn
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Fix dim for output tensor by replacing with v head dim rather than q head dim
Add test cases for jax fused attn where head_dim_qk != head_dim_v for a combination of data types and attention type
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Modify the fused attn jax unit test case for head dim qk != head dim v
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* Use new FusedAttnRunner function signature for separate hidden dim for qk and v in Fused Attn distributed tests
Code clean up
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* Fix usage of is_fused_attn signature in distributed tests
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* Remove unnecessary assert
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* add support for head dim > 128
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* remove debugging
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* raise tols slightly to tolerate 1/2048 mismatches
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix is_training for test_te_layer
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add bprop support for blackwell
Signed-off-by: Charlene Yang <charleney@nvidia.com>

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* minor tweak for format
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix backend selection results
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* bump sm100 to sm100+
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add sq=1 test for MLA
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* enable sq=1 for bprop
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* minor tweak in comments
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* fix head_dim logic and remove pytest skip
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* add FE fix for d>128
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* update FE again to take in small fixes
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* add cuDNN version info in L0 tests
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* increase tols for Unfused + large dim
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* Revert "add cuDNN version info in L0 tests"

This reverts commit 3e1b426ca5319a2c0540b9e73bba7047d0e583e5.
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* fix tols for Unfused
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Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

[DCU] fix blockwise int8 train issues in megatron

See merge request dcutoolkit/deeplearing/TransformerEngine!30

* Added support of FP4 data type
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Refactoring to BitsNum in progress
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* Fixed compilation errors. All C++ tests passed
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* Fixed a typo
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* Added FP4 guard to TMA tensor descriptor data type
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* Fixed errors in JAX C++ extensions
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* Removed dummy NVFP4 C++ test file
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* Make pytorch changes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Refactored the code per the review notes. Fixed JAX build error.
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Removed unnecessary static casts
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Typo fix
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* Pass correct num bits to create_2D_tensor_map; fixes CI
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* inline funcs
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