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* Refactor to avoid storing a global quantization config so direct recipe passing works as intended
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* fix use_split_accumulator for current scaling recipe
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* fix tests that pass direct recipe and were missing quantize meta set
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* Revert "fix use_split_accumulator for current scaling recipe"

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* fix ci failures
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* Fix amax_history post_init
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* Update transformer_engine/jax/quantize/quantizer.py
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* fix ci failures
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* fix ci issue
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* address comments
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* make recipe assertion classes in test_recipe_characteristics not inherit from unittest.TestCase
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* Support for checkpointing quantizations
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* Add jaxpr test for quant checkpoint name
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* Revert "Support for checkpointing quantizations"

This reverts commit f7b784940369d0da2a77c57fa6ea744e883c5832.
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* Checkpoint quantizations
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* lint
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* revert other files
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* move checkpointing to VJPs
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* reuse amax for current scaling
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* rm using_global_amax_of_x
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* init cgemm + unit tests

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* update misuse of TP warning
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* Adding Amax Primitive and related args.
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* Enable local-amax for current-scaling and optionally run AR aross FSDP/TP/SP.
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* Adding doc for Amax Primitive.
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* Fix the function name conflict.
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* Fix the wrong amax-scope in the bwd.
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* Fix shardy_rule
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Fix GroupedScaledTensor creation
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* Custom call tests passing
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* Fix test_layer.py
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* Lint
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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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* Rename HighPrecisionTensor to NoScaleTensor
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* Fix tests
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* FP8 AllGather in FP8 GroupedGEMM

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* Slightly refactor
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* Adding documents of new args.
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* Adding unit-tests.
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* Adding license.
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* Move unit-tests to L1.
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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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* rm batch_dim, sequence_dim, sequence_parallel_output
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* rm lhs_quantized_colwise and rhs_quantized_colwise
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* rm unnecessary transpose_batch_sequence arg from some modules
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[JAX] Fixing GemmPrimitive partitioning rules to handle tensor-parallelism correctly for sequence-parallel inputs (#1980)

* updated GemmPrimitive partitioning rules to explicitly control all-reduce vs. reduce-scatter for sequence-parallelism
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* corrected handling of FSDP sharding for the RHS operand
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* use correct logical axes variable to identify sequence-parallel dim in LayerNormDenseGeneral
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* fixed linting issues
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* added assert on sequence-parallel options when GemmPrimitive is disabled
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* added XLA FFI custom op for TE/common nvte_cublas_gemm
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started GemmPrimitive, abstract done
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gemm custom op working with BF16, needs testing for FP8/MXFP8
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converted TE GEMM API to use ScaledTensor and added os ENV flag to use TE GEMM under general gemm() call
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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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new GemmPrimitive passing all Dense tests
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import cleanup and reverted code chunk movement
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removed unused .transpose() implementations from ScaledTensors
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all custom call tests passing on Hopper, GEMM-related tests cover both GemmPrimitive and native JAX impl
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removed direct calls to GemmPrimitive.enabled() from outside of cpp_extensions
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removed unused changes to ScaledTensor classes and debug prints
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* minor unit test cleanup
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* FP8 tests passing on Blackwell but MXFP8 outputs NaN
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* MXFP8 issue traced to scale factor padding with NaNs instead of zeros
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* padding scale with 2^-127 instead of nans
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* fix bug on rhs_scale_inv usage
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* cleanup E8M0 type converter use it in gemm.cpp
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* segfault fixed, passing all unittests on Blackwell
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* fix for fuseddense tests
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* fix workspace alignment
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* fixed GemmPrimitive custom partitioning to match jax.nn.scaled_matmul
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all unit tests passing on H100x8 node
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linting fixes
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* moved reshape of encoder output in encoder examples to make custom partitioning rules work correctly
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* fixed datasets version for JAX examples
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* reverting modification to force_1x_quantization decision
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* TensorUsage + FP8 GEMM with all layouts handling on BW
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* Support MXFP8 and handle empty matrices
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* fixes for jittable grouped_quantize

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* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 
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Revert "[JAX] GroupedDense v.2 without dynamic shape (#1721)"

This reverts commit 5d01ef21

.
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* [JAX] Update flax module param initialization to support logical partitioning axes
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* Lint
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* Fix bias in LayerNormMLP flax module
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* rename QuantizeAxis to QuantizeLayout, get_layout to get_data_layout, q_axis to q_layout

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* added gated act to test encoder

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* refactor + mxfp8

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