GitLab

disable fused attention in encoder tests for determinism
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Move older news to Previous
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* Add Nov 2025 news entries
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* bug fix
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* Update transformer_engine/common/swizzle/swizzle_block_scaling.cu

Mask to 8 bits to prevent potential bit overlap
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* fix bug in 2d too
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* Remove pyhtorch-triton as a requirement and remove auto-fetching pytorch-triton as it is a placeeholder in pyPI
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ONNX: Fix FP8 quantization for the second MLP in LayernormMLP
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* code drop
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Debug Doxygen and LaTeX warnings
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* Pick a leaner set of combinations for TE JAX CP attn tests such that only those cp,dp,tp combinations are picked where cp*dp*tp is equal to num gpus
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* Add triton version detection logic, and NVTE_USE_PYTORCH_TRITON knob for jax
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[JAX] Fix test_layer to support fused attention and adjust test encoder tolerance to account for minor diff (#2563)

Fix failing unit tests
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* Fix long compile time in padding.cu
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* docs: Add comprehensive Getting Started guide with benchmarks

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* fix
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* 2026 in copyright
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* Add tests for 2528 and 2529
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* replace autograd.grad with autograd.backward
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