issue/63/fix: 移除 cuda mat mul 中无意义的模板

Signed-off-by: YdrMaster <ydrml@hotmail.com>

src/infiniop/ops/matmul/cuda/matmul_cuda.cu

@@ -38,90 +38,74 @@ infiniStatus_t Descriptor::create(
     return INFINI_STATUS_SUCCESS;
 }
 
-template <typename Tdata>
-void calculate(
-    const MatmulInfo &info,
-    std::shared_ptr<Pool<cublasHandle_t>> &cublas_handle_pool,
+infiniStatus_t Descriptor::calculate(
+    void *workspace,
+    size_t workspace_size,
     void *c,
     float beta,
     const void *a,
     const void *b,
     float alpha,
-    cudaStream_t stream) {
-
-    if (info.is_transed) {
-        std::swap(a, b);
-    }
+    void *stream) const {
 
     cudaDataType a_type, b_type, c_type;
     cublasComputeType_t compute_type;
-    if constexpr (std::is_same<Tdata, half>::value) {
+
+    switch (_dtype) {
+    case INFINI_DTYPE_F16:
         a_type = b_type = c_type = CUDA_R_16F;
         compute_type = CUBLAS_COMPUTE_32F;
-    } else {
+        break;
+
+    case INFINI_DTYPE_F32:
         a_type = b_type = c_type = CUDA_R_32F;
 #ifdef ENABLE_SUGON_CUDA_API
         compute_type = CUBLAS_COMPUTE_32F;
 #else
         compute_type = CUBLAS_COMPUTE_32F_FAST_TF32;
 #endif
+        break;
+
+    default:
+        return INFINI_STATUS_BAD_TENSOR_DTYPE;
     }
 
-    auto op_a = info.a_matrix.row_stride == 1 ? CUBLAS_OP_N : CUBLAS_OP_T;
-    auto op_b = info.b_matrix.row_stride == 1 ? CUBLAS_OP_N : CUBLAS_OP_T;
+    if (_info.is_transed) {
+        std::swap(a, b);
+    }
+
+    auto op_a = _info.a_matrix.row_stride == 1 ? CUBLAS_OP_N : CUBLAS_OP_T;
+    auto op_b = _info.b_matrix.row_stride == 1 ? CUBLAS_OP_N : CUBLAS_OP_T;
 
-    use_cublas(cublas_handle_pool,
-               stream,
+    use_cublas(_opaque->cublas_handle_pool,
+               (cudaStream_t)stream,
                [&](cublasHandle_t handle) {
                    cublasGemmStridedBatchedEx(
                        handle,
                        op_a,
                        op_b,
-                       static_cast<int>(info.m),
-                       static_cast<int>(info.n),
-                       static_cast<int>(info.k),
+                       static_cast<int>(_info.m),
+                       static_cast<int>(_info.n),
+                       static_cast<int>(_info.k),
                        &alpha,
                        a,
                        a_type,
-                       static_cast<int>(info.a_matrix.ld()),
-                       info.a_matrix.stride,
+                       static_cast<int>(_info.a_matrix.ld()),
+                       _info.a_matrix.stride,
                        b,
                        b_type,
-                       static_cast<int>(info.b_matrix.ld()),
-                       info.b_matrix.stride,
+                       static_cast<int>(_info.b_matrix.ld()),
+                       _info.b_matrix.stride,
                        &beta,
                        c,
                        c_type,
-                       static_cast<int>(info.c_matrix.ld()),
-                       info.c_matrix.stride,
-                       static_cast<int>(info.batch),
+                       static_cast<int>(_info.c_matrix.ld()),
+                       _info.c_matrix.stride,
+                       static_cast<int>(_info.batch),
                        compute_type,
                        CUBLAS_GEMM_DEFAULT_TENSOR_OP);
                });
-}
-
-infiniStatus_t Descriptor::calculate(
-    void *workspace,
-    size_t workspace_size,
-    void *c,
-    float beta,
-    const void *a,
-    const void *b,
-    float alpha,
-    void *stream) const {
-
-    switch (_dtype) {
-    case INFINI_DTYPE_F16:
-        cuda::calculate<uint16_t>(_info, _opaque->cublas_handle_pool, c, beta, a, b, alpha, (cudaStream_t)stream);
-        return INFINI_STATUS_SUCCESS;
-
-    case INFINI_DTYPE_F32:
-        cuda::calculate<float>(_info, _opaque->cublas_handle_pool, c, beta, a, b, alpha, (cudaStream_t)stream);
-        return INFINI_STATUS_SUCCESS;
-
-    default:
-        return INFINI_STATUS_BAD_TENSOR_DTYPE;
-    }
+    return INFINI_STATUS_SUCCESS;
 }
 
 } // namespace matmul::cuda