- 09 Jul, 2025 2 commits
-
-
wenjh authored
-
wenjh authored
Signed-off-by:wenjh <wenjh@sugon.com>
-
- 08 Jul, 2025 2 commits
-
-
-
yuguo authored
-
- 03 Jul, 2025 2 commits
-
-
wenjh authored
-
wenjh authored
Signed-off-by:
-
- 02 Jul, 2025 1 commit
-
-
wenjh authored
Signed-off-by:
-
- 01 Jul, 2025 2 commits
-
-
wenjh authored
Signed-off-by: -
wenjh authored
Add env to chose blocklen of blockwise quantize. Signed-off-by:
-
- 20 Jun, 2025 5 commits
- 19 Jun, 2025 5 commits
- 18 Jun, 2025 6 commits
-
-
wenjh authored
Signed-off-by: -
wenjh authored
Signed-off-by: -
wenjh authored
-
wenjh authored
Signed-off-by: -
yuguo authored
-
wenjh authored
Signed-off-by:
-
- 17 Jun, 2025 2 commits
-
-
yuguo authored
-
yuguo authored
Merge commit 'a69692ac' of https://github.com/NVIDIA/TransformerEngine
-
- 16 Jun, 2025 2 commits
- 13 Jun, 2025 10 commits
-
-
Przemek Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
-
Kshitij Lakhani authored
* 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> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix context dims in general DPA in test_fused_attn Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Charlene Yang authored
* add support for head dim > 128 Signed-off-by:
Charlene Yang <charleney@nvidia.com> * remove debugging Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Co-authored-by:
-
yuguo authored
[DCU] fix blockwise int8 train issues in megatron See merge request dcutoolkit/deeplearing/TransformerEngine!30
-
yuguo authored
-
Oleg Goncharov authored
* Added support of FP4 data type Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Refactoring to BitsNum in progress 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 <64355998+Oleg-Goncharov@users.noreply.github.com> * Pass correct num bits to create_2D_tensor_map; fixes CI Signed-off-by:
-
Tim Moon authored
* Add FP8 current scaling to te.Sequential tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Helper function for test/ref tensors does not produce quantized tensor by default Signed-off-by:
-
Tim Moon authored
* Do not initialize quantized weights with column-wise usage in inference mode Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> --------- Signed-off-by:
-
Jan Bielak authored
* Flatten basic op params during fuser init Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit 949abe97070721b1da5117903067608250f5fb61) * Add caching for is_non_tn_fp8_gemm_supported Signed-off-by:
-
Daniel Stokes authored
* Add support for overlapping wgrad NCCL AG with dgrad GEMM Signed-off-by:
djns99 <40156487+djns99@users.noreply.github.com> * Remove unused wait on memcpy API from UB Signed-off-by:
dastokes <dastokes@dastokes-dvt-01.nvidia.com>
-
- 12 Jun, 2025 1 commit
-
-
Phuong Nguyen authored
* fixes for jittable grouped_quantize * fixes for jittable grouped_gemm * fix contracting_dim for wgrad gemm * exclude jitted grouped_gemm from the unit test as it does not work cudaGraph --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
-
