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cuda: enable topk-moe fusion for 288 experts #25267

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Merged
pwilkin merged 3 commits into from
Jul 3, 2026
Merged

cuda: enable topk-moe fusion for 288 experts #25267

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5de3e40
cuda: enable topk-moe fusion for 288 experts
pwilkin Jul 2, 2026
c46bc26
Update tests/test-backend-ops.cpp
pwilkin Jul 3, 2026
c685c03
Add comment for case 288 in topk-moe.cu
pwilkin Jul 3, 2026
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8 changes: 7 additions & 1 deletion ggml/src/ggml-cuda/topk-moe.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -312,6 +312,10 @@ static void launch_topk_moe_cuda(ggml_backend_cuda_context & ctx,
ggml_cuda_kernel_launch(topk_moe_cuda<256, has_bias>, launch_params,
logits, weights, ids, bias, n_rows, n_expert_used, clamp_val, scale_val, config);
break;
case 288:
ggml_cuda_kernel_launch(topk_moe_cuda<288, has_bias>, launch_params,
logits, weights, ids, bias, n_rows, n_expert_used, clamp_val, scale_val, config);
break;

@ORippler ORippler Jul 3, 2026

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Please add a comment on what model uses 288

case 512:
ggml_cuda_kernel_launch(topk_moe_cuda<512, has_bias>, launch_params,
logits, weights, ids, bias, n_rows, n_expert_used, clamp_val, scale_val, config);
Expand Down Expand Up @@ -377,8 +381,10 @@ bool ggml_cuda_should_use_topk_moe(const ggml_tensor * gating_op,
const ggml_tensor * weights,
const ggml_tensor * logits,
const ggml_tensor * ids) {
// must match an instantiation of launch_topk_moe_cuda: a power of 2 up to 512,
// or one of the non-power-of-2 expert counts of supported models
const int n_expert = ids->nb[1] / ids->nb[0];
if (((n_expert & (n_expert - 1)) != 0 || n_expert > 512) && n_expert != 576) {
if (((n_expert & (n_expert - 1)) != 0 || n_expert > 512) && n_expert != 288 && n_expert != 576) {
return false;
}

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1 change: 1 addition & 0 deletions tests/test-backend-ops.cpp
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Expand Up @@ -9219,6 +9219,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
test_cases.emplace_back(new test_topk_moe({128, 1, 1, 1}, 128, with_norm, bias_probs, gate, scale_w));
test_cases.emplace_back(new test_topk_moe({129, 1, 1, 1}, 128, with_norm, bias_probs, gate, scale_w));
test_cases.emplace_back(new test_topk_moe({160, 4, 1, 1}, 160, with_norm, bias_probs, gate, scale_w));
test_cases.emplace_back(new test_topk_moe({288, 22, 1, 1}, 8, with_norm, bias_probs, gate, scale_w));
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}
}
}
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