- 03 Oct, 2025 1 commit
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vthumbe1503 authored
Signed-off-by:Varun Thumbe <vthumbe@nvidia.com> *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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- 05 Sep, 2025 1 commit
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jberchtold-nvidia authored
* Custom call tests passing Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix test_layer.py Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Lint Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Support using amax on HighPrecision tensor if it exists instead of recomputing for current scaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix shardy issue with amax being shape 1,1,1 instead of shape (1,) Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Add higher-precision VJP tests to test_distributed_layernorm_mlp Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Cast non-quantized kernels to input dtype in VJPs Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Rename HighPrecisionTensor to NoScaleTensor Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Use NoScaleTensor in pure JAX impls where it was missing Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix tests Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 04 Apr, 2025 1 commit
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Phuong Nguyen authored
* rename QuantizeAxis to QuantizeLayout, get_layout to get_data_layout, q_axis to q_layout * add fatten_axis option * added gated act to test encoder * sharding constraint fixes * fix padding when flattening first dim needs to be padded * update test sizes so that padding is tested * rm output sharding as it can be done in the flax module * sharding scale_inv for mxfp8 --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 01 Apr, 2025 1 commit
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Phuong Nguyen authored
* refactor + mxfp8 * added grouped gemm * rename linear to dense * added cublas init phase for groupedGemm * relax the tol of test encoder multiprocessing mxfp8 by 0.001 Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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