【KernelGen】Add feature_dropout operator - #1732
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feature_dropout Benchmark Speedup Resultsfloat16
float32
bfloat16
Note: feature_dropout shows performance regression across most sizes, likely due to kernel launch overhead on small tensors. |
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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UT ResultsBranch rebased to upstream/master and tests passed: |
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…i#1732) Co-authored-by: factnn <1050552884@qq.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: bin913 <842884726@qq.com>
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…i#1732) Co-authored-by: factnn <1050552884@qq.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: bin913 <842884726@qq.com>
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…i#1732) Co-authored-by: factnn <1050552884@qq.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: bin913 <842884726@qq.com>
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…i#1732) Co-authored-by: factnn <1050552884@qq.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: bin913 <842884726@qq.com>
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Co-authored-by: factnn <1050552884@qq.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: bin913 <842884726@qq.com>
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PR Category
Operator
Type of Change
New Feature
Description
Add
feature_dropoutoperator implementation with Triton kernel.manual_kernelIssue
N/A
Progress
Performance
torch.bfloat16
torch.float16
torch.float32
Overall: median speedup = 0.721x, mean speedup = 0.694x (24 data points)
Generated by auto_gen tool with Claude Code