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[PyTorch][NVFP4][MOE] NVFP4 Grouped Hadamard Amax Kernel
- #2351
#2351
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timmoon10
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Nov 25, 2025
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[PyTorch][NVFP4][MOE] NVFP4 Grouped Hadamard Amax Kernel
#2351
timmoon10
merged 24 commits into
NVIDIA:main
NVIDIA/TransformerEngine:main
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zhongbozhu:zhongbo/mult_RHT_amax
zhongbozhu/TransformerEngine:zhongbo/mult_RHT_amax
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Commits on Nov 22, 2025
minor fix of torch view dtype
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multi-tensor RHT amax, compiles
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setup multi_tensor_quantize_nvfp4_impl
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wire things up and run without crash
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numerical test
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unit test passing
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finish unit test of split quantize api
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bump up padding to 64 for nvfp4 grouped quantize
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fix stochastic rounding
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lint
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change error message
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clean up
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enable multi-amax without RHT
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fix col-only quantize mode
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improve benchmark script
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add NCU example script
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add larger test case
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add contiguous_data_and_scale check to bulk allocator
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unified naming and differentiate between group_ and multi_
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move regular amax into multi_tensor.h
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Disentangle logic for split-quantize and general multi-tensor quantize
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Commits on Nov 25, 2025
Use size_t for split sections
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Suggestions from @greptile-apps
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[pre-commit.ci] auto fixes from pre-commit.com hooks
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