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[CUTLASS] Conv2d activation fusion, part 2: Sigmoid fp16, SiLU and HardSwish
- #9795
#9795
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masahi
merged 10 commits into
apache:main
apache/tvm:main
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masahi:cutlass-conv2d-fuse2
masahi/tvm:cutlass-conv2d-fuse2
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Dec 23, 2021
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[CUTLASS] Conv2d activation fusion, part 2: Sigmoid fp16, SiLU and HardSwish
#9795
masahi
merged 10 commits into
apache:main
apache/tvm:main
from
masahi:cutlass-conv2d-fuse2
masahi/tvm:cutlass-conv2d-fuse2
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Commits
Commits on Dec 22, 2021
[Torch] do not pad if pad widths are all zero
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e0fb117
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silu fusion supported
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adding hardswish support
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support fast_math sigmoid op
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fixed type inference for yolov5 + silu fusion
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use include_non_call_ops=False in AnnotateTarget
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update cutlass
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revert change in build.py
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simplify codegen
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lint
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