cuda: add sqrt_softplus in topk-moe for dsv4 (#25896)
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@@ -5960,6 +5960,7 @@ enum MoeGatingFunc {
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GATING_FUNC_SOFTMAX,
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GATING_FUNC_SIGMOID,
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GATING_FUNC_SOFTMAX_WEIGHT,
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GATING_FUNC_SQRT_SOFTPLUS,
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};
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struct test_topk_moe : public test_case {
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@@ -6003,7 +6004,8 @@ struct test_topk_moe : public test_case {
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ggml_tensor * logits = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne.data());
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ggml_tensor * probs =
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(gating_func == GATING_FUNC_SOFTMAX) ? ggml_soft_max(ctx, logits) :
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(gating_func == GATING_FUNC_SIGMOID) ? ggml_sigmoid(ctx, logits) : logits;
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(gating_func == GATING_FUNC_SIGMOID) ? ggml_sigmoid(ctx, logits) :
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(gating_func == GATING_FUNC_SQRT_SOFTPLUS) ? ggml_sqrt(ctx, ggml_softplus(ctx, logits)) : logits;
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ggml_set_name(probs, "probs");
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ggml_tensor * selection_probs = probs;
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@@ -9584,7 +9586,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
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}
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}
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for (auto gate : {GATING_FUNC_SOFTMAX, GATING_FUNC_SIGMOID, GATING_FUNC_SOFTMAX_WEIGHT}) {
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for (auto gate : {GATING_FUNC_SOFTMAX, GATING_FUNC_SIGMOID, GATING_FUNC_SOFTMAX_WEIGHT, GATING_FUNC_SQRT_SOFTPLUS}) {
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for (bool with_norm : {false, true}) {
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for (bool bias_probs : {false, true}) {
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for (float scale_w : {0.0f, 2.0f}) {
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@@ -9596,6 +9598,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
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test_cases.emplace_back(new test_topk_moe({128, 1, 1, 1}, 128, with_norm, bias_probs, gate, scale_w));
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test_cases.emplace_back(new test_topk_moe({129, 1, 1, 1}, 128, with_norm, bias_probs, gate, scale_w));
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test_cases.emplace_back(new test_topk_moe({160, 4, 1, 1}, 160, with_norm, bias_probs, gate, scale_w));
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test_cases.emplace_back(new test_topk_moe({256, 22, 1, 1}, 6, with_norm, bias_probs, gate, scale_w)); // Used by DeepSeek-V4
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test_cases.emplace_back(new test_topk_moe({288, 22, 1, 1}, 8, with_norm, bias_probs, gate, scale_w)); // Used by StepFun 3.7
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}
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}
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