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* Add NVFP4 recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Frank Sun <frsun@nvidia.com>
Co-authored-by: Oleg Goncharov <ogoncharov@nvidia.com>
Co-authored-by: Zhongbo Zhu <zhongboz@nvidia.com>
Co-authored-by: Evgeny Tsykunov <etsykunov@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Teddy Do <tdophung@nvidia.com>

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

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* Add MathDx dependency to GitHub builds
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Suggestions from GitHub Copilot
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move 2x shape logic from core to PyTorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix compilation errors with CUDA 12.1
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* SM 70 is not supported in CUDA 13
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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

* Revert "Move 2x shape logic from core to PyTorch"

This reverts commit f8b2a2d0111d9af690b43bb98ae448d9a430a185.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Added dequantize kernel for FP4
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Add NVFP4 support with fusible ops

Use logical tensor dims for PyTorch NVFP4 tensors. Temporarily add unfused dequantize impl. Fix bug where NVFP4 recipe was not configurable.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix logic for 2x shapes and move to PyTorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix CG test model config
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Debug NVFP4 tensor size function
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Proper handling of the RNG state
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Test SR properly
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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* Fix workspace size for GEMM heuristic.
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix compile error in C++ NVFP4 test

Some some numeric errors when blocks are all zero.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* fix distrbuted test problem shape
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* proper assert dim for low precision AG TP
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* clean up duplicated code in nvfp4_utils.cuh
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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

* pylint: disable=unused-argument
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* `nvte_cublas_gemm_v2` to take alpha pointer (#12)

* make nvte_cublas_gemm_v2 to take alpha/beta pointers
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* users are expected to pass a valid C_tensor
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* typos
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* API to have const float* alpha
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Minor tweaks

Support arbitrary beta scales. Increase workspace to be aligned to 128 bytes.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug IMA with alpha pointer
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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* Support fused amax kernels with NVFP4 quantization
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable fused amax with cuDNN LayerNorm kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add NVFP4 cases to distributed tests for TE ops
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Change assert to NVTE_CHECK in the hadamard cast fusion
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Use global thread IDs for Philox subsequences
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Add shape checks for NVFP4 cast kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Do not fuse amax if cuDNN normalization is forced by envvar
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: zhongboz <zhongboz@nvidia.com>
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Co-authored-by: Frank Sun <frsun@nvidia.com>
Co-authored-by: Oleg Goncharov <ogoncharov@nvidia.com>
Co-authored-by: Zhongbo Zhu <zhongboz@nvidia.com>
Co-authored-by: Evgeny Tsykunov <etsykunov@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Teddy Do <tdophung@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* Fixed conflicts
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Minor code refactoring to avoid unnecessary checks
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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

* Fixed dBias accumulation error due to initialization. Minor code refactoring
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Test case to reproduce the init error
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Fixed rowwise dbias error
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Changed ptx API
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Added a struct for two packed FP8 values
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Rolled back to scalar code for columnwise scaling due to its better performance
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Minor corrections
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Rebased on main
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Fixes per code review
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Removed constexpr in C++ test suite to build faster
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Computed activations are now numerically truncated to InputType before scaling. Improved test suite.
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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

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* Minor refactoring
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Minor refactoring
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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

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* Modified mismatches checks of MXFP8 to address FP8 numerics
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Implemented Jeremy's fixes to JAX test suite with an intermediate downcast
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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

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* Reduced the dims of the test tensors to improve CI runtime
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Fixed memory alignment issue. Compute dbias without downcast.
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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* Fixed misaligned memory issue also in gated kernels. Reduced size of MXFP8 gated tests
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

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---------
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.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.
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* 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
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* 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
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---------
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>

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