- 11 Jul, 2025 4 commits
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Phuong Nguyen authored
* memset for the mxfp8 scale padding Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
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jberchtold-nvidia authored
Update test tolerance for L40 Signed-off-by:Jeremy Berchtold <jberchtold@nvidia.com>
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Alp Dener authored
* capped JAX encoder example datasets version at below 4.0 Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
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Tim Moon authored
Make MXFP8Tensor unpickling function backward compatible Signed-off-by:Tim Moon <tmoon@nvidia.com>
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- 10 Jul, 2025 3 commits
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Autumn1998 authored
* add router fusion Signed-off-by:
tongliu <tongliu@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix ci Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Xin Yao <xiny@nvidia.com> Co-authored-by:
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buptzyb authored
* Reuse cudagraph input and output tensor memory Signed-off-by:
Robin Zhang <robinz@nvidia.com> * Wrap _make_graphed_callables with fp8 Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Solve lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Paweł Gadziński authored
* push Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fixes Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * Update tests/pytorch/test_sanity.py Co-authored-by:
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- 09 Jul, 2025 5 commits
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Selvaraj Anandaraj authored
Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-ptyche02.ptyche.clusters.nvidia.com> Co-authored-by:
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Zhongbo Zhu authored
* functional passed Signed-off-by:
zhongboz <zhongboz@nvidia.com> * before zero padding in mxfp8 swizzle, use torch zeros to malloc for now Signed-off-by:
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Hua Huang authored
* Fix JAX grouped gemm error on CUDA 12.9.1 & later by using 16B alignment for scale ptr Signed-off-by:
Hua Huang <huah@nvidia.com> * Pad MXFP8 scales with 2*-127 instead of NaNs Signed-off-by:
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Tim Moon authored
* Add tests for loading previously-generated checkpoints Signed-off-by:
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Xin Yao authored
* Fix align_size Signed-off-by:
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- 08 Jul, 2025 3 commits
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Phuong Nguyen authored
* Fix jax build Signed-off-by:
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Jan Bielak authored
* Change pre_forward to pre_first_forward Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Fix passing invalid recipe with fp8 disabled Signed-off-by:
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Jan Bielak authored
Add test for `LayerNormMLP` implementation using `te.ops.Sequential` to `test_fusible_ops.py` (#1924) * Add e2e test for LayerNormMLP implemented with te.Sequential Signed-off-by:
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- 04 Jul, 2025 1 commit
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Paweł Gadziński authored
* fix Signed-off-by:
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- 01 Jul, 2025 3 commits
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Selvaraj Anandaraj authored
* Added MCore fsdp support for TE Signed-off-by:
Selvaraj Anandaraj <selvaraja@cw-dfw-cs-001-login-01.cm.cluster> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Refactored based on new MCore FSDP Signed-off-by:
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Jan Bielak authored
* Replace `is_float8_tensor` with `is_quantized_tensor` Replace free function `is_float8_tensor` with `is_quantized_tensor` in `_common.py` and use it throughout the `ops` codebase to check if a tensor is a (possibly internal) quantized tensor Signed-off-by:
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guyueh1 authored
Fix layernorm output shape in LayernormLinear, make it align with input shape Signed-off-by:
Guyue Huang <guyueh@nvidia.com> Co-authored-by:
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- 28 Jun, 2025 1 commit
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yuzhongw-nvidia authored
* fix: (1) UT ignores MLA; (2) bshd format runtime error. Ban fp8 mla attn + cp due to correctness problem Signed-off-by:
Yuzhong Wang <yuzhongw@nvidia.com> * only disable FP8 CP for MLA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> --------- Signed-off-by:
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- 26 Jun, 2025 7 commits
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Charlene Yang authored
* skip kv cache for sm89, cudnn < 9.12 Signed-off-by:
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jberchtold-nvidia authored
Use keyword args for jit in_shardings and out_shardings Signed-off-by: -
Jan Bielak authored
* Optimize _common.reshape by removing redundant operations Signed-off-by:
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Paweł Gadziński authored
* fixed the bug Signed-off-by:
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Paweł Gadziński authored
* fix Signed-off-by:
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xiaoxi-wangfj authored
* [PyTorch|common] Implement unpadding kernel for FP8 1. Add multi-tensor unpadding kernel 2. Replace split+cat with unpadding kernel in Fp8Padding and Fp8Unpadding 3. Add unpadding with padding unit tests Signed-off-by:
xiaoxi-wangfj <690912414@qq.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add license Signed-off-by:
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Zhongbo Zhu authored
* finish python ref impl for bulk alloc Signed-off-by:
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- 25 Jun, 2025 1 commit
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jberchtold-nvidia authored
* Fix cppunittest test.sh for editable installs Signed-off-by:
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- 19 Jun, 2025 1 commit
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Tim Moon authored
* Use FP16 tols for tests with TF32 Signed-off-by:
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- 18 Jun, 2025 1 commit
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Phuong Nguyen authored
* TensorUsage + FP8 GEMM with all layouts handling on BW Signed-off-by:
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- 17 Jun, 2025 1 commit
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Phuong Nguyen authored
* include previously accidentally excluded tests * Execute run_test_multiprocessing_encoder with nested bash + exit code for inner bash shell * Adapt run_test_multiprocessing to handle segfault Signed-off-by:
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- 16 Jun, 2025 3 commits
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Tim Moon authored
Signed-off-by: -
Li Tao authored
* Fix an issue when mcore uses te fusion ce implementation Signed-off-by:
lit <lit@nvidia.com> * simplify unit test code Signed-off-by:
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Hua Huang authored
* Support MXFP8 and handle empty matrices Signed-off-by:
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- 13 Jun, 2025 6 commits
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Przemek Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
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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:
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Charlene Yang authored
* add support for head dim > 128 Signed-off-by:
Charlene Yang <charleney@nvidia.com> * remove debugging Signed-off-by:
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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:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Pass correct num bits to create_2D_tensor_map; fixes CI Signed-off-by:
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Tim Moon authored
* Add FP8 current scaling to te.Sequential tests Signed-off-by:
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Tim Moon authored
* Do not initialize quantized weights with column-wise usage in inference mode Signed-off-by:
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