GitLab

Fix GroupedScaledTensor creation
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Custom call tests passing
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Fix test_layer.py
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* Lint
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* Fix comments
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* Support using amax on HighPrecision tensor if it exists instead of recomputing for current scaling
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* Fix shardy issue with amax being shape 1,1,1 instead of shape (1,)
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* Add higher-precision VJP tests to test_distributed_layernorm_mlp
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* Cast non-quantized kernels to input dtype in VJPs
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* Rename HighPrecisionTensor to NoScaleTensor
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* Use NoScaleTensor in pure JAX impls where it was missing
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* Fix tests
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* Fix failing tests for dropout=0.1 and bias for fused attn for blackwell
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* Fix the skip message
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* Assert in fused attn bwd pass for sm100
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Add check for sm100
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* Add support to get all devs in the process for jax
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* Code clean up
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* Represent attn bias using enum instead of string
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* add amax input to DBiasQuantizePrimitive and FFI
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* make sure amax is init with zero
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* fix sharding rule
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* add dot_1_output sharding constraint + use AXIS_IS_UNSHARDED
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* Decouple recipe and scaling mode
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* Expose global QuantizeConfig instance as a getter
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* Format and lint
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* Merge branch 'main' into dev/jberchtold/jax-scaling-mode-and-recipe-decoupling
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* Rename UsageType to TensorSource
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Delay MeshResource validation until first usage
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* FP8 AllGather in FP8 GroupedGEMM

1. Support current scaling FP8 quantation with a given amax.
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* Slightly refactor
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* Adding documents of new args.
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* Adding license.
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* Move quantizaer store/reset into FP8 only.
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* Adding all layout support for Blackwell+
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* Adopt the feedback from code-review.
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* Fixed the wrong stream used by d2d in groupedGEMM FFI.
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* clean up sharding
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* added amax as an optional arg
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* added shardy warning
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* added cp strategy arg to DPA api
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* converted DPA cp_strategy to string
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[JAX] Error checking for mesh resource and update GemmPrimitive to use global_mesh_resource().fsdp_resource (#2088)

* Enforce global MeshResource is set
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* Use global_mesh_resource().fsdp_resource in gemm primitive
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* fix fsdp
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Fix flax variables when creating quantizers directly from a recipe
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* fix pspec check
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* add manual axis filer to sharding_constraint impl
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* fix lint
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* use abstract_mesh instead of physical_mesh
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* Support setting collection name for quantizer set Flax variables in TransformerEngineBase flax module
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* Support creating quantizer set from a recipe directly
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* rm cudaGraph compatible trait from GroupedGEMM and groupedQuantize
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* add grouped_gemm jitting in the unit test
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* rm batch_dim, sequence_dim, sequence_parallel_output
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* rm lhs_quantized_colwise and rhs_quantized_colwise
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Revert "[JAX] Disable TE Norm Custom Calls (#1993)"

This reverts commit 6c970612

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* remove dot1_output_axes
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Disable Norm custom calls
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* new gemm operand specs processing
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* fix for lhs_non_specs
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* TE primitive checkpointing policies
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* Remove batched gemm policy
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[JAX] Fixing GemmPrimitive partitioning rules to handle tensor-parallelism correctly for sequence-parallel inputs (#1980)

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* use correct logical axes variable to identify sequence-parallel dim in LayerNormDenseGeneral
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* add manage_primitives() helper

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fp8 tests passing for E4M3, getting CUBLAS_STATUS_NOT_SUPPORTED for E5M2
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updated GEMM API to use separate LHS and RHS quantizers instead of a QuantizerSet
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* fix is_training for test_te_layer
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add bprop support for blackwell
Signed-off-by: Charlene Yang <charleney@nvidia.com>

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

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



* minor tweak for format
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix backend selection results
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* bump sm100 to sm100+
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add sq=1 test for MLA
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* enable sq=1 for bprop
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* minor tweak in comments
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix head_dim logic and remove pytest skip
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add FE fix for d>128
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* update FE again to take in small fixes
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add cuDNN version info in L0 tests
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* increase tols for Unfused + large dim
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Revert "add cuDNN version info in L0 tests"

This reverts commit 3e1b426ca5319a2c0540b9e73bba7047d0e583e5.
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix tols for Unfused
Signed-off-by: Charlene Yang <charleney@nvidia.com>

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Signed-off-by: Charlene Yang <charleney@nvidia.com>
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* fixes for jittable grouped_quantize

* fixes for jittable grouped_gemm

* fix contracting_dim for wgrad gemm

* exclude jitted grouped_gemm from the unit test as it does not work cudaGraph

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

* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 
* Fix GroupedGemmFFI cuBLAS workspace alignment bug
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Co-authored-by: Hua Huang <huah@nvidia.com>