[ROCm] Enable fused_silu_mul_block_quant on ROCm (#38817)
Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
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@@ -110,6 +110,18 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
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"silu_and_mul_quant(Tensor! result, Tensor input, Tensor scale) -> ()");
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ops.impl("silu_and_mul_quant", torch::kCUDA, &silu_and_mul_quant);
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// Fused SiLU+Mul + per-block quantization
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ops.def(
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"silu_and_mul_per_block_quant("
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"Tensor! out, "
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"Tensor input, "
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"Tensor! scales, "
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"int group_size, "
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"Tensor? scale_ub=None, "
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"bool is_scale_transposed=False) -> ()");
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ops.impl("silu_and_mul_per_block_quant", torch::kCUDA,
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&silu_and_mul_per_block_quant);
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ops.def("mul_and_silu(Tensor! out, Tensor input) -> ()");
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ops.impl("mul_and_silu", torch::kCUDA, &mul_and_silu);
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@@ -233,17 +245,6 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
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// Quantization ops
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#ifndef USE_ROCM
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// Fused SiLU+Mul + per-block quantization
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ops.def(
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"silu_and_mul_per_block_quant("
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"Tensor! out, "
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"Tensor input, "
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"Tensor! scales, "
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"int group_size, "
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"Tensor? scale_ub=None, "
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"bool is_scale_transposed=False) -> ()");
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ops.impl("silu_and_mul_per_block_quant", torch::kCUDA,
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&silu_and_mul_per_block_quant);
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// DeepSeek V3 fused A GEMM (SM 9.0+, bf16 only, 1-16 tokens).
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ops.def(
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"dsv3_fused_a_gemm(Tensor! output, Tensor mat_a, Tensor mat_b) -> ()");
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