GitLab

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>

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

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

* Refactoring to BitsNum in progress
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Fixed compilation errors. All C++ tests passed
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Fixed a typo
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Added FP4 guard to TMA tensor descriptor data type
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Fixed errors in JAX C++ extensions
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Removed dummy NVFP4 C++ test file
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* 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>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



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

* Typo fix
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: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

---------
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

quantize_transpose_vector_blockwise function use lds exceeding 64kb when
input type is fp32. But max size of lds in dcu is 64kb, thus we use lds
as bfp16 for workaround.
Signed-off-by: wenjh <wenjh@sugon.com>

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

Use ocp fp8.
Workaround: test_cast_float8blockwise.cu link wrong std::max
Signed-off-by: wenjh <wenjh@sugon.com>

* Modify the test cases
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Make the tests reproducible on different machines
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fixed the cache of the gamma_in_weight_dtype setting
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Reinstate the tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* More verbose code and comments
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Move multi tensors kernels from PyTorch extensions to core
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add int16 type to core (for storing fp32 param remainders)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Fix perf, memory, vars
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Re-add device guard for multi-device
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix junk output dtype for non-per tensor
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fixes for test and upgrade mcore version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Reapply "Allow NVTEShape to own data." (#1703)

This reverts commit 91405eb4

.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update code so that data is replaced by an array.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Specify unambiguous Tensor constructor in tests.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fix assumption in test of 2D shape.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Remove row and col
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

---------
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

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

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>

Revert "Allow NVTEShape to own data. (#1674)"

This reverts commit e61ce77c

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

* 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>

* 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>

* 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.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Gate feature on CUDA 12.9
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Gemm typo.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Remove unecessary type converter change.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Reflect epilogue availability and test supported epilogues.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* GEMM simplifications from recipe branch.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Format py code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update GEMM DGelu tests to match support depending on output dtype.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Force pow2Scales in GEMM
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add GEMM test to pytorch test suite.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add copyright to GEMM test.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update import for GEMM test.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add license.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update test gemm supported predicate.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Use sgemm like interfaces and naming.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Rewrite GEMM comment.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* MR Feedback.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Recipe setup for Linear modules.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Use 12.9 feature test.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Run against tensor dumps from internal library.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update FIXME to TODO with linked issue.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update full recompute feature to save recipe.

The recompute context uses the same recipe
and fp8 settings as the original fwd pass.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* MR Feedback. Avoid reusing quantizer objects.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update logic in module.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Format py.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update for PP bug.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update test numerics.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update force_power_of_2 scales in the recipe.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update usage method to satisfy upstream changes.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* fix subchannel recipe in distributed test with bf16 gather
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Edit and cleanup BF16 gather code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update test import.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* support columnwise only mode to 1D quantize kernel
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Format and move enum
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Skip alloc.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* try async bf16 gather
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Format python code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Document and type code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update pytorch lint errors.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Dont set high precision dtype.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add test for sanity and CG; fix CG for sequential?
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Keep make_quantizers API stable

Update num_quantizers instead to pass cuda_graph tests.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fix import name.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Rename recipe method.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Skip grouped linear sanity test.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Set usage before BF16 gather.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* refactor for nvte_quantize_v2
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Format code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Cleanup nvte_quantize_v2
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Test fp32 scales.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Disable CUDA graph.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Simplify layernorm linear
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Cleanup layernorm linear.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* LayerNorm linear bwd gather logic.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Communication updates.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update transformer_engine/pytorch/ops/op.py

Apply MR comment change.
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: kwyss-nvidia <kwyss@nvidia.com>

* Lint fix.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* MR feedback.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Enable cuda graph tests.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Reduce chance of spurious failure and reword.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Review suggestions from @timmoon10
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update CPP tests.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update common.h
Signed-off-by: Xin Yao <yaox12@outlook.com>

* Update test_float8blockwisetensor.py
Signed-off-by: Xin Yao <yaox12@outlook.com>

---------
Signed-off-by: Keith Wyss <kwyss@nvidia.com>
Signed-off-by: zhongboz <zhongboz@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: kwyss-nvidia <kwyss@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Xin Yao <yaox12@outlook.com>
Co-authored-by: zhongboz <zhongboz@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Xin Yao <yaox12@outlook.com>

* 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.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Alignment for 1D scaling for GEMM edge case.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* MR feedback.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Change API name.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fix merge conflict with name change.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Use common tensor map API.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Change API to use two scaling mode enums.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fix typo.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update some call sites.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Tests for torch tensor API surface.

Since the quantized tensor is a tensor
subclass, these tests exercise torch hooks.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Reuse scale calculation between quantizer refs.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Save memory by dropping reference to saved tensors.

Issues previously observed are solved.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Remove constexpr parameters from kernel.

Code size is reduced with fewer constexpr params.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Merge conflict from rebase.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add shape implementations for block scaling.

nvte_shape was added upstream. Logic added
for block scaled fp8.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Move benchmark to te_playground
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Remove amax_epsilon and pow_2_scales from tensor.

Hardcodes the default values.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Lint changes.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fixup MR changes that broke.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Safer ifdef in kernel.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Documentation prose.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Reuse compute_scale function from Current Scaling.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Bugfix on inf_value scale refactor.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Remove qopt calls from test.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update pytest list.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Add copyright to reference scale calc.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Use ptx.cuh functions instead of cde.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update shape logic with allocation and reuse shape.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Usage defaults MR feedback.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Copyright and header guard.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Updating torch dispatch code.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Fix exception type.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Use TypeInfo
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* MR feedback.
Signed-off-by: Keith Wyss <kwyss@nvidia.com>

* Update CS scale update test to use updated ref impl
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update JAX scaling mode enum
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Skip tests on Lovelace
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Keith Wyss <kwyss@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

Parallelize CPU reference implementation in tests
Signed-off-by: Evgeny Tsykunov <etsykunov@etsykunov-mlt.client.nvidia.com>
Co-authored-by: Evgeny Tsykunov <etsykunov@etsykunov-mlt.client.nvidia.com>
Co-authored-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Delete row-wise data in single-GPU linear forward
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug Python->C++ parsing of transpose-only Float8Tensors
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug tensor shape calculation without row-wise data
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug correctness issues with only column-wise data
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Only cache column-wise input in LayerNormLinear
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Support MXFP8 all-gather with only column-wise data
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Fix moe cases, lint, rm unused ctx
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix CPU activation offloading and use consistent logic for save/restore
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

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

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

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

* Fix MXFP8 AG
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix FP8 with sequence parallelism
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Explicitly use python3 and pip3
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Run pre-commit as Python module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Replace some missed references to "python" or "pip"
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* check in per-tensor current scaling full recipe
Signed-off-by: zhongboz <zhongboz@nvidia.com>

[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: zhongboz <zhongboz@nvidia.com>

setup basics of current scaling quantizer in python level
Signed-off-by: zhongboz <zhongboz@nvidia.com>

[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: zhongboz <zhongboz@nvidia.com>

add test case for current scaling dequantize
Signed-off-by: zhongboz <zhongboz@nvidia.com>

[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: zhongboz <zhongboz@nvidia.com>

finish linear layer fwd bwd test, determined error with bf16
Signed-off-by: zhongboz <zhongboz@nvidia.com>

[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: zhongboz <zhongboz@nvidia.com>

achieved zero tolerance for Linear by specify gemm use_split_accumulator config
Signed-off-by: zhongboz <zhongboz@nvidia.com>

enable layernormlinear with current scaling, pass bitwise test
Signed-off-by: zhongboz <zhongboz@nvidia.com>

refactor test case code
Signed-off-by: zhongboz <zhongboz@nvidia.com>

make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests
Signed-off-by: zhongboz <zhongboz@nvidia.com>

bug fix: use cached fp8 recipe in backward
Signed-off-by: zhongboz <zhongboz@nvidia.com>

fix layernorm_mlp with current scaling, fix activation_helper with current scaling
Signed-off-by: zhongboz <zhongboz@nvidia.com>

support detailed numerical settings from recipe to quantization kernel
Signed-off-by: zhongboz <zhongboz@nvidia.com>

resolving MR comments
Signed-off-by: zhongboz <zhongboz@nvidia.com>

recipe naming
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* resolve mr comments, remove IS_CURRENT_SCALING template from kernels
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* resolve mr comments, make current scaling c++ test cases
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* add current scaling to test_numerics.py, skip act recomp and grouped linear
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* add benchmark for quantizer
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* add benchmarks for linear layer
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* bug fix, typo
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve more mr comments
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* avoid potential race condition by not using from_blob to construct amax tensor in C++
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve more comments
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Debug linter warnings and license check
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Debug import error in FP8 tensor test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug compilation error with CUDA 12.1 for Turing
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* resolve mr comments, fix activation cast fusion
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve comments, add NVTEQuantizationParams for compute scale
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* remove is_current_scaling check totally from common folder
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* remove benchmarks, will contribute in another repo
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* adjust cs default recipe config
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* adjust comments in test
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Remove current scaling mode from core lib
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Refactor current-scaling-specific logic in core C++ lib

Move amax and scale update functions out of casting functions, and put into dedicated current-scaling source file. Add general API for accessing quantization config object.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Add missing header in C++ tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable test config with FP8 transpose on Blackwell
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix compilation error in C++ test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

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

* cuDNN normalization integration
* TE Norm refactor
* TE Norm APIs changes.

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Add helper function to convert C++ container to string
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

 1. Add multi-tensor padding kernel for FP8 with padding size = 16.
 2. Add FP8Padding and Fp8Unpadding module
 3. Add Padded GroupedLinear unit tests

---------
Signed-off-by: beinggod <zhangruibin@01.ai>
Co-authored-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>

* Perform scale-inv update in cast-transpose kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Perform scale-inv update in cast and activation kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Perform sclae-inv update in LayerNorm and RMSNorm kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Perform scale-inv update after FP8 GEMMs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fuse casts and scale-inv updates in linear module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fuse casts and scale-inv updates in layernorm-linear module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Simplify kernel to update FP8 scale-inv
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Debug amax update in layernorm kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



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

* Debug ONNX export

Use quantization scaling factor in ONNX quantize op.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestion from @ptrendx
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

rm test_dgeglu
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Added tests for silu/relu/swiglu/reglu
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Added other activations/backwards and fixed dqgelu
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Fix 2
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Actually adding srelu and qgelu tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Pruning unnecessary test configurations
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

* Add classifiers for python
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add utils to build wheels
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* PaddlePaddle only builds for x86
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add optional fwk deps
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Python3.8; catch install error
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* [wip] cudnn9 compile with paddle support
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* [wip] dont link cudnn
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* dlopen cudnn
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>

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

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

* dynamically load nvrtc
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



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

* remove residual packages; exclude stub from nvrtc .so search
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Exclude builtins from nvrtc .so search
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* properly include files for sdist
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* paddle wheel tie to python version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix paddle build from src [wip]
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix workflow paddle build
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



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

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

* fix lint from pr986
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Add sanity wheel test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add sanity import to wheel test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove upper limit on paddlepaddle version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Remove pybind11 dependency
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Search .sos in cuda home
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



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

* CLeanup, remove residual code
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@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>

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

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

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

Add top level path to search for .so in test build
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Add NVRTC kernels for cast-transpose
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update copyright year
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add noop flag to NVRTC cast-transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Apply suggestions from code review
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>