GitLab

Add rules of cuda_runtime.h, cuda_driver.h and cuda_nvml.h to hip.
Signed-off-by: wenjh <wenjh@sugon.com>

* Add GEMM logic for blockwise quantized tensors.

GEMM test cases included in pytorch integration.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update NVTE_BLOCK_SCALING for GEMM.
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* Gate feature on CUDA 12.9
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* Gemm typo.
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* Remove unecessary type converter change.
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* Reflect epilogue availability and test supported epilogues.
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* Force pow2Scales in GEMM
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* Add copyright to GEMM test.
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* Update import for GEMM test.
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* Add license.
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* Update test gemm supported predicate.
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* Use sgemm like interfaces and naming.
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* Rewrite GEMM comment.
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* MR Feedback.
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* Recipe setup for Linear modules.
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* Use 12.9 feature test.
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* Run against tensor dumps from internal library.
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* Update FIXME to TODO with linked issue.
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* Update full recompute feature to save recipe.

The recompute context uses the same recipe
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* MR Feedback. Avoid reusing quantizer objects.
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* Update logic in module.
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* Format py.
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* Update for PP bug.
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* Update test numerics.
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* Update force_power_of_2 scales in the recipe.
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* Update usage method to satisfy upstream changes.
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* fix subchannel recipe in distributed test with bf16 gather
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* Edit and cleanup BF16 gather code.
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* Update test import.
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* support columnwise only mode to 1D quantize kernel
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* Format and move enum
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* Skip alloc.
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* try async bf16 gather
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* Document and type code.
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* Update pytorch lint errors.
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* Dont set high precision dtype.
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* Add test for sanity and CG; fix CG for sequential?
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* Keep make_quantizers API stable

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* refactor for nvte_quantize_v2
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* Format code.
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* Cleanup nvte_quantize_v2
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* Test fp32 scales.
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* Disable CUDA graph.
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* Simplify layernorm linear
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* Cleanup layernorm linear.
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* LayerNorm linear bwd gather logic.
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* Communication updates.
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* Update transformer_engine/pytorch/ops/op.py

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* Lint fix.
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* MR feedback.
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* Enable cuda graph tests.
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* Reduce chance of spurious failure and reword.
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* Review suggestions from @timmoon10
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* Update CPP tests.
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* Update common.h
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* Update test_float8blockwisetensor.py
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* fix cpp warning
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* more fix
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---------
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* Blockwise float8 quantizer and quantized tensor class.

The classes are configurable for 128x128 blocksize
and 1x128 blocksize via setting block_scaling_dim == 2,1 respectively.

Scale tensors are stored in a format emenable for matrix multiplication,
however the integration of matmul is deferred as a separate story.

Fusions of quantization and DBIAS or activation functions are not yet
implemented, and the dequantization is currently implemented in torch.

Tests for quantization are included in C++ and pytorch layers, with
exact comparison to reference quantizer behavior as well as an attempt
to hit interesting branches through the API such as tensor creation
in pytorch and CPP and dequantization of row and columnwise usage.

Two CUDA kernels for quantization are included, and are direct ports
of equivalents in the kitchen repository, where a subchannel recipe
has been used for end to end training.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Apply linting changes.
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* Alignment for 1D scaling for GEMM edge case.
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* MR feedback.
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* Change API name.
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* Fix merge conflict with name change.
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* Use common tensor map API.
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* Change API to use two scaling mode enums.
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* Fix typo.
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* Update some call sites.
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* Tests for torch tensor API surface.

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* Reuse scale calculation between quantizer refs.
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* Save memory by dropping reference to saved tensors.

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* Remove constexpr parameters from kernel.

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* Merge conflict from rebase.
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* Add shape implementations for block scaling.

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* Move benchmark to te_playground
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* Documentation prose.
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* Reuse compute_scale function from Current Scaling.
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* Bugfix on inf_value scale refactor.
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* MR feedback.
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* Skip tests on Lovelace
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* Fix missing arg when getting CUDA driver error string
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Reuse logging header in frameworks
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Jan Bielak <jbielak@nvidia.com>

* [JAX] Fix incorrect sharding when only enable FSDP.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* [JAX] Add WAR to memory misaligned issues of LN BWD.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* [JAX] Reuse sm_arch for avoiding duplicate code.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* [JAX] Support multiple sizes allocation in WorkspaceManager.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* [JAX] Use template and ariadic arguments to improve multple sizes allocator.
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Added ReLU and GLU variants to common
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* PyTorch C++ lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Bug fix
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* More fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix storage errors
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Compute bgrad
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix numerical tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix ONNX export tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Review comments
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Initial implementation of NVRTC infrastructure
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Initial NVRTC impl for transpose

NVRTC gives compilation errors at runtime. Everything else compiles and passes tests as expected.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug NVRTC transpose impl

NVRTC kernel compiles, runs, and passes tests with FP32.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use variadic template for kernel arguments in RTC kernel launch func
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Refactoring

Added utility header for CUDA Runtime API. Optimized concat_strings function.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add helper function for regex substitutions in strings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add option to disable NVRTC support
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add support for header includes in NVRTC kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Access lazily-initialized CUDA driver lib and add option to specify CUDA header dir
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Configure NVRTC transpose kernel with simple perf model
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Revert change to tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Style fixes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add prime-valued test cases
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix multiple definition error
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Optimize NVRTC transpose kernel for small data sizes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Mention NVRTC in docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add unit tests for NVRTC and string utils
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add comment in install docs about NVRTC

Review suggestion from @nouiz
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug perf model for RTC transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove NVRTC discussion from docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Require CUDA headers unless NVRTC is explicitly disabled
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use diagonal coords in transpose kernel to avoid partition camping
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use std::call_once for thread-safety
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Minor fixes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug CMake error
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unnecessary call_once
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove diagonal coordinates from transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use size_t indices instead of int
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestions from @ptrendx

Check build-time CUDA include path for run-time CUDA headers. Handle case where CUDA context is initially uninitialized.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move scale inverse calculation to framework
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* cleanup
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix RMSNorm
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix gated kernel/geglu
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add NVTX to TE modules
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

* Fix NVTX in _prepare_backward
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add NVTX to C API
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix cpplint and link nvToolsExt
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add NVTX to GeGlu
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add GeGLU and DGeGLU
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add DGeGLUCT
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update copyright year
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine shape check
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Code refine
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Move the amax/scale/scale_inv into the TE Tensor struct.
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Changed softmax to new Tensor
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* First pass at the cpp tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Round of fixes
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Fix cast_to_fp8
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>