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webgpu: use naive reduction #28174

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Merged
guschmue merged 5 commits into from
Jun 16, 2026
Merged

webgpu: use naive reduction #28174

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275b24e
webgpu: use naive reduction
Apr 22, 2026
aadeda2
Keep to use shared ReduceMean when axes are innermost
Apr 24, 2026
2fcb28f
Address jiajia's comment
Apr 30, 2026
af2b4c9
Merge branch 'main' into use-naive-reduction
Jun 2, 2026
fded7f3
Merge branch 'main' into use-naive-reduction
Jun 5, 2026
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4 changes: 3 additions & 1 deletion onnxruntime/core/providers/webgpu/reduction/reduction_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -372,7 +372,9 @@ Status ReduceKernel<allow_multi_axes>::ComputeInternal(ComputeContext& context)
return Status::OK();
}

bool use_naive_reduction = name_ == "ArgMin" || name_ == "ArgMax" || (reduce_size < 32 && output_size > 1024) || is_input_empty || input_tensor->Shape().NumDimensions() == 0;
bool use_naive_reduction = name_ == "ArgMin" || name_ == "ArgMax" || (reduce_size < 32 && output_size > 1024) ||
(name_ == "ReduceMean" && reduce_size <= 128 && output_size > 20000) ||
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is_input_empty || input_tensor->Shape().NumDimensions() == 0;

if (use_naive_reduction) {
ReduceNaiveProgram program(name_, reduce_op_type, keepdims_, noop_with_empty_axes_, input_axes, is_input_empty);
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