GitLab

Don't pickle an empty dict in LayerNorm and BasicOperation layers
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* Update minimum python version to 3.10 and update CI
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* review
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Deprecate old float8_tensor.py
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Catch unsupported GEMM during recipe init
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* Try async copy of grouped GEMM group_sizes data
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Unblock path for fusing NVFP4 quantize and bgrad
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* reuse amax for current scaling
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* not fuse bias for output all reduction case + unit tests
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* norm to reduce dgamma along tpsp as well
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* Fix in FP8 attention selection logic
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* Improve logic
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* Update to_string(NVTEScalingMode) to include block scaling
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*Jax integration for clamped swiglu. This is the continuation of PR which added Clamped Swiglu(used in GPT OSS) support in TE along with Pytorch integration. This PR hooks up the clamped swiglu and dswiglu's nvte APIs to TE Jax.

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* Make sure to set usages for linear op quantizers before forward
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* Fix the cublas workspace alignment
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Fix passing args to nvfp4 recipe
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* rm using_global_amax_of_x
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Load modules during initialize
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Add cuBLASMp-backed GEMM-like API to TE common (#1824)

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FP8 AllGather in FP8 GroupedGEMM + Fix Stream Usage Issue. (#2086)

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* return to requiring two cp_groups for a2a+p2p
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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



* provide a basic set of tests for CP
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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



* fix the last merge with nvfp4 PR
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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



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



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* remove cudnn version in qa scripts
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---------
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>