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[Build] Use H100 instead of A10 pool for CI
CodeQL
#56651:
Pull request
#32664
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tianleiwu
5m 45s
tlwu/20260916/ci_h100
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[Build] Use H100 instead of A10 pool for CI
CodeQL
#56650:
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[WebNN EP] Support GroupNormalization, GroupNorm and SkipGroupNorm
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Skip redundant present_key/value copy when aliased to external KV cache (follow-up to #29715)
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Enable opt-in host-pageable CUDA GatherBlockQuantized
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[WebGPU] checks to handle oob writes based on seqlens_k
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Limit AOT function expansion
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Integrate ONNX 1.23.0 base plumbing
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Fix WebNN ConvTranspose shape arithmetic overflow
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Fix: LayerNormFusion should reject shape-expanding scale and bias patterns
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Fix: LayerNormFusion should reject shape-expanding scale and bias patterns
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Fix: LayerNormFusion should reject shape-expanding scale and bias patterns
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Add BF16 routing support to CUDA MoE
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Validate packed GQA head counts during shape inference
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Add GQA workspace estimation
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Add BF16 routing support to CUDA MoE
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Integrate ONNX 1.23.0 base plumbing
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Optimize CUDA QSA sparse attention indexing
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[WebGPU] checks to handle oob writes based on seqlens_k
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Add GQA workspace estimation
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[CUDA][WebGPU] Add packed sparse attention indexer for continuous batching
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Validate packed GQA head counts during shape inference
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2bit 6bit quantization exploration
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