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ggml-cuda : support ssm_conv kernel size 7 (#30873)
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@@ -151,9 +151,10 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const floa
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case 3: launch_kernel(std::integral_constant<int, 3 >{}); break;
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case 4: launch_kernel(std::integral_constant<int, 4 >{}); break;
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case 5: launch_kernel(std::integral_constant<int, 5 >{}); break;
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case 7: launch_kernel(std::integral_constant<int, 7 >{}); break;
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case 9: launch_kernel(std::integral_constant<int, 9 >{}); break;
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case 15: launch_kernel(std::integral_constant<int, 15>{}); break;
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default: GGML_ABORT("Only support kernel sizes 3, 4, 5, 9, 15 right now.");
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default: GGML_ABORT("Only support kernel sizes 3, 4, 5, 7, 9, 15 right now.");
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}
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}
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@@ -10659,7 +10659,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
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// ne[2] > 65535 exceeds the CUDA gridDim.y limit (#27901)
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test_cases.emplace_back(new test_rms_norm_mul_rope({4, 1, 65536, 1}, 1e-6f, false, false, false, GGML_ROPE_TYPE_NORMAL));
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test_cases.emplace_back(new test_rms_norm_mul_rope({4, 1, 65536, 1}, 1e-6f, false, true, false, GGML_ROPE_TYPE_NEOX));
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for (int64_t d_conv : {3, 4, 9}) {
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for (int64_t d_conv : {3, 4, 7, 9}) {
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for (int64_t d_inner: {1024, 1536, 2048}) {
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test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}));
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test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {2 * d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}));
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@@ -10672,7 +10672,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
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// fused ssm_conv + (optional) bias_add + silu. The bias-only graph (no silu) is intentionally
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// not tested since there's no fusion for that pattern in ggml_cuda_can_fuse.
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for (int64_t d_conv : {3, 4, 9}) {
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for (int64_t d_conv : {3, 4, 7, 9}) {
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for (int64_t d_inner : {1024, 1536, 2048}) {
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for (bool fuse_bias : {false, true}) {
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// short token path (n_t <= 32)
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