- 29 Apr, 2025 3 commits
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Tim Moon authored
* Check if FP8 block scaling is supported in tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update tests/pytorch/distributed/test_cast_master_weights_to_fp8.py Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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HuangHuang authored
Prevent precision issues by making get_old_fp8_meta_tensors_for_recompute() return copies of amaxes/scales rather than references to originals. Signed-off-by:
HuangHuang <huang.huang@mthreads.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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jberchtold-nvidia authored
* Update test_helper.py and add QuantizeConfig class for CurrentScaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * WIP distributed current scaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Distributed Current Scaling (debugging). Distributed implementation with replicated scale_inv works for layernorm_mlp but feels like a hack Has different per-device scale_inv values, but jax.debug.print only shows one of them. Since we're telling JAX/XLA that this scale is replicated, I think it assumes all the values are equal. However, it doesn't actually check this, so it seems we are able to get away with per-device scales for current scaling but I am not sure how stable this will be and may randomly fail if us or the user changes partitioning at all or if XLA decides to actually act on the assumption that all these scale_invs are the same. Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Implement distributed current scaling by computing a global amax and scale before quantization Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Add encoder and mnist tests for current scaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Add primitive prefix to shardy unique_vars to prevent factor conflicts when performing unfused primitives for current scaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove scale_shape primitive arg that is no longer used Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Format Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix expected result on multiprocessing encoder test Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Lint fix Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Update multiprocessing current scaling tolerances Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Uncomment test case that was disabled for testing Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove commented out debug line Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 28 Apr, 2025 4 commits
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Kirthi Shankar Sivamani authored
* Add support for nvidia cu* lib wheels Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Small cleanup Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * rm unused improt Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * rm req Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Specify exact package versions Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * rm debug ms Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix cuda_path Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Add frameworks and nvidia-libs to setup requirements. Add alternates to version finding Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Loose Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix jax wheel install in no toolkit env [wip] Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Add missing headers via pip Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Review Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Load SOs, revert CMake Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * rm unused function Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Proper fix got get_te_path Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix JAX exec without cudatk Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix lint and typo Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Kunlun Li authored
* Prevent using fp8 weights + non-fp8 computation Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Using warnings instead of raising an error Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add dequantization back Signed-off-by:
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Alp Dener authored
[PyTorch] Fix cuBLAS workspace leak in applications that initialize+destroy Userbuffers more than once (#1715) safeguarded cuBLAS workspace expansion in initialize_ub() to avoid exponential growth across repeat initializations Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Kshitij Lakhani authored
* Move MultiHeadAttention into its own file. Modify tests and files in t_e/pytorch to import from the new MHA module Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Resolving lost MHA changes from PR 1614 as a result of rebase Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Move context parallelism code into it's own file. Modify test and local imports of cp code accordingly Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Move softmax.py frm pytorch/ to pytorch/d_p_a Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Move Unfused and Fused attention to backends.py and some utils functions to pytorch/utils.py Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Resolving lost mark_activation_offload changes from PR 1678 as a result of rebase Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Code clean up 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 * Refactor attention dir Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Refactor dir structure. Make relevant symbols public in __init__ for attention and d_p_a dirs Move FA package imports to backends.py Code cleanup Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Modify tests to import attention modules correctly Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Lint fixes Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Code clean up and fix typo Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Allowing InferenceParams and RoPE imports from attention module and pytorch module Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Allow InferenceParams and RoPE imports via transformer_engine.pytorch and transformer_engine.pytorch.attention modules Remove unnecessary checks for check_set_window_size in MHA and TL Reorder backends such that smaller classes at the start and larger ones at the end Code clean up Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Reinstating changes from PR 1478 for rope.py lost during rebase conflict resolution 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 lint issues Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * nit: Code clean up Signed-off-by:
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- 25 Apr, 2025 2 commits
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Nicolas Castet authored
Fixes #1692 Signed-off-by:Nicolas Castet <26874160+nvcastet@users.noreply.github.com>
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Kirthi Shankar Sivamani authored
Update FSDP example instructions Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 24 Apr, 2025 2 commits
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jberchtold-nvidia authored
Introduce nvte_memset to provide a fill kernel that is faster than cudaMemsetAsync for small sizes (#1716) * nvte_memset fills single float value Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Support larger sizes than a single value and add tests Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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Kirthi Shankar Sivamani authored
Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 22 Apr, 2025 3 commits
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Kirthi Shankar Sivamani authored
* Move radix sort to core Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix; change fused_attn to include C header Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Review comments Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix args Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Sudhakar Singh authored
* add support for `sb1d` freqs tensor in Fused RoPE Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * add `start_positions` variable to `apply_rotary_pos_emb` function to make staggered rope application faster Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add pytorch path for `start_positions` and corresponding tests Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add tests for start_positions with thd Signed-off-by:
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Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove start_positions from backward pass Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * from feedback Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make notes shorter Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> --------- Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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jberchtold-nvidia authored
* [JAX-Q] Single GPU current scaling for JAX Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix scale check dtype for MXFP8 scales affecting tests using assert_bitwise_scaled_tensors Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Address comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove cast to fp32 for norm primitives now that zero-centered gamma dtype issue is fixed Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix lint issue Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove unnecessary cast to fp32 Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Lint Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 21 Apr, 2025 2 commits
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jberchtold-nvidia authored
Check CuDNN version and apply unfused norm if below a version with the fix Signed-off-by:Jeremy Berchtold <jberchtold@nvidia.com>
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Sudhakar Singh authored
* rtx5090 arch fix support Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * apprend `nvte` to the function name so that its visible in framework specific dirs Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * fix typo Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * add filter for nvte_is_supported_nontn_fp8_gemm Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * properly expose the api Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * feedback from PR Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * move the function to apt header/c files Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add more info Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> --------- Signed-off-by:
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- 19 Apr, 2025 1 commit
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Tim Moon authored
Revert "Allow NVTEShape to own data. (#1674)" This reverts commit e61ce77c . Signed-off-by:
Tim Moon <tmoon@nvidia.com>
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- 18 Apr, 2025 5 commits
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Kunlun Li authored
* Add fp8_primary_weights support for blockwise scaling Signed-off-by:
kunlunl <kunlunl@nvidia.com> custom fsdp Signed-off-by:
kunlunl <kunlunl@nvidia.com> [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Add view to blockwise fp8 tensor Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Fix columnwise_shape in backward of view() Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add comments to the unit of start_offset Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add test for view and reshape for blockwise fp8 tensor Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add implementation for self._columnwise_scale_inv is not existed Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Track down checks for _columnwise_data is None and adding checks for _columnwise_invalid Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add assertion to check whether ._quantizer is None Signed-off-by:
kunlunl <kunlunl@nvidia.com> * rename partial_cast.cu -> fp8_block_scaling_partial_cast.cu Signed-off-by:
kunlunl <kunlunl@nvidia.com> * rename partial_cast kernel to fp8_block_scaling_partial_cast kernel Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add shfl_sync in partial cast kernel Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Remove columnwise_invalid flag Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add comments about out-of-bounds write Signed-off-by:
kunlunl <kunlunl@nvidia.com> --------- Signed-off-by:
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pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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Kirthi Shankar Sivamani authored
* Move jaxx cuda kernels to core Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Przemek Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
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Hongbin Liu authored
* split wgrad for GroupedLinear Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * support wgrad split for linear and ln_linear Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * add comments and fix WeightGradStore Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * support bias and fix unit tests Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * minor fix Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * support fuse_grad_accumulation=false Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add wgrad split for layernorm_mlp Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * minor fix Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix unittest Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add unittest for distributed interface apply Dener's suggestion Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * minor fix Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * replace split_bw with delay_wgrad_compute Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update transformer_engine/pytorch/module/layernorm_mlp.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update transformer_engine/pytorch/module/linear.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update transformer_engine/pytorch/module/layernorm_linear.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * remove comments Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> --------- Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Hongbin Liu <hongbinl@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Phuong Nguyen authored
rm pax/praxis Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 17 Apr, 2025 6 commits
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wdykas authored
* re merge request Signed-off-by:
Peter Dykas <wdykas@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add docstring Signed-off-by:
Peter Dykas <wdykas@nvidia.com> --------- Signed-off-by:
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Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Xin Yao authored
* move swizzle scaling factor to cpp Signed-off-by:
Xin Yao <xiny@nvidia.com> * resolve comments Signed-off-by:
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kwyss-nvidia authored
* Allow NVTEShape to own data. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Convert repeated copy paths to nvte_make_shape calls. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Apply suggestions from code review Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * Build fixes. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> --------- Signed-off-by:
Keith Wyss <kwyss@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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jberchtold-nvidia authored
* Add a flag to support computing zero-centered gamma in weight dtype or compute dtype for CuDNN Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Address comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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linxiddd authored
* [QA] Add error handling - Standardize test failure handling using the unified 'test_fail' function and 'error_exit' function Signed-off-by:
Linxi Ding <linxid@nvidia.com> * Add XML log generation for pytest results - Add `--junitxml` option to pytest command to generate JUnit XML format logs Signed-off-by:
Linxi Ding <linxid@nvidia.com> * Add $XML_LOG_DIR Signed-off-by:
Linxi Ding <linxid@nvidia.com> * mkdir Signed-off-by:
Linxi Ding <linxid@nvidia.com> * Update qa/L0_pytorch_unittest/test.sh Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> --------- Signed-off-by:
Linxi Ding <linxid@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Paweł Gadziński authored
* drop Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix 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 * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> --------- Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 16 Apr, 2025 3 commits
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Santosh Bhavani authored
* Update README.rst - Installation Update installation section with comprehensive guidelines - Add detailed system requirements - Include Conda installation method (experimental) - Document environment variables for customizing build process - Update FlashAttention support to cover both version 2 and 3 - Add troubleshooting section with solutions for common installation issues Signed-off-by:
Santosh Bhavani <sbhavani@nvidia.com> * Update README.rst - Installation removed conda section Signed-off-by:
Santosh Bhavani <sbhavani@nvidia.com> * Update README.rst - Installation added all gpu archs that support FP8 Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update README.rst Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update README.rst Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update README.rst Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update installation.rst Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix docs and adding troubleshooting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Santosh Bhavani <sbhavani@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Paweł Gadziński authored
* add Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * weight workspace fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * docs fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * file i forgot 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 * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * lint fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * Update transformer_engine/debug/pytorch/utils.py Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * setup fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * setup fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * Update transformer_engine/pytorch/tensor/_internal/float8_tensor_base.py Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * all tensor types Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fixes Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fixes Signed-off-by:
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Pawel Gadzinski <pgadzinski@nvidia.com> * fixes Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix 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 * removed check Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * move error Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * _reset Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * Update transformer_engine/pytorch/module/linear.py Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * name documentation Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * added blockwise quantizer 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 * fix 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 * make debug option optional Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * Update transformer_engine/pytorch/tensor/quantized_tensor.py Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * names fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> --------- Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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Kshitij Lakhani authored
* Add test cases for full coverage in jax/test_layer.py - causal and window size None - causal and window size default (-1,1) - no_mask and window size default (-1,1) - no_mask and window size default (2,2) - padding and window size None - padding_causal and window_size (2,2) Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Correct the condition where padding_causal_mask was being mapped to scaled upper triangle Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Fix Issue #1524 Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Add a runner and test cases for jax.flax.module.Softmax class for fwd pass only Segregate runner classes for Softmax module and softmax primitives Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Simplify logic when picking softmax primitives and softmax jax framework calls 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 * Simplify the logic for performing jax based softmax Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> * Code clean up 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 * Add support table for mask, SWA and Softmax type. Code linting 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 * Explicit SWA conditons in comments. Fix Typo 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 * Resolve typo to remove None in SWA comments section 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 --------- Signed-off-by:
Kshitij Janardan Lakhani <klakhani@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 15 Apr, 2025 4 commits
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Li Tao authored
* support adam bf16 state Signed-off-by:
XiaobingSuper <xiaobingzhangupc@gmail.com> * use fp32 kernel but keep bf16 optimizer states to save memory Signed-off-by:
lit <lit@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
XiaobingSuper <xiaobingzhangupc@gmail.com> Signed-off-by:
lit <lit@nvidia.com> Co-authored-by:
XiaobingSuper <xiaobingzhangupc@gmail.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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Paweł Gadziński authored
* test change Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * test fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * small changes Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * small changes 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 * test 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 * clear Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * base Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> --------- Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Paweł Gadziński authored
* fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * added test 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 * test change Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * changed the test 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 --------- Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Phuong Nguyen authored
* script improvement * add wait * add return code back * relax tols for FP8 test in test_multiprocessing_ by 0.001 --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 14 Apr, 2025 5 commits
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Jianbin Chang authored
* Add fp8 weight transpose cache check in backward, and regenerated it if it does not exist Signed-off-by:
jianbinc <shjwudp@gmail.com> * Properly handle fsdp shard model weight input. Signed-off-by:
jianbinc <shjwudp@gmail.com> * move Float8Tensor to QuantizedTensor in cast_master_weights_to_fp8 UT Signed-off-by:
jianbinc <shjwudp@gmail.com> * handle Float8TensorBase issue Signed-off-by:
jianbinc <shjwudp@gmail.com> * fix bug in activation recompute Signed-off-by:
jianbinc <shjwudp@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
jianbinc <shjwudp@gmail.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Tim Moon authored
* Avoid unnecessary tensor usages when caching for linear op backward Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug test failure Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com>
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Xin Yao authored
* Enable MXFP8 and Per-Tensor Current Scaling for Grouped Linear Signed-off-by:
Xin Yao <xiny@nvidia.com> * enable float8blockwise Signed-off-by:
Xin Yao <xiny@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update Signed-off-by:
Xin Yao <xiny@nvidia.com> * remove grouped linear parallel mode test Signed-off-by:
Xin Yao <xiny@nvidia.com> * update test Signed-off-by:
Xin Yao <xiny@nvidia.com> * resolve comments Signed-off-by:
Xin Yao <xiny@nvidia.com> * internal=False for now Signed-off-by:
Xin Yao <xiny@nvidia.com> * remove unused import Signed-off-by:
Xin Yao <xiny@nvidia.com> --------- Signed-off-by:
Xin Yao <xiny@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Johannes Reifferscheid authored
* Add experimental Shardy support. Production use is not yet recommended. --------- Signed-off-by:Johannes Reifferscheid <jreiffers@nvidia.com>
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Hua Huang authored
* New GroupedGemmPrimitive using variadic args * Remove squeeze() to reduce D2D memcpy * Revert to the list append fashion to simplify code --------- Signed-off-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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