// Copyright (c) Microsoft Corporation. // SPDX-License-Identifier: Apache-2.0 // DeepSpeed Team #include "cublas_wrappers.h" #ifdef __HIP_PLATFORM_HCC__ int cublas_gemm_ex(rocblas_handle handle, rocblas_operation transa, rocblas_operation transb, int m, int n, int k, const float* alpha, const float* beta, const float* A, const float* B, float* C, rocblas_gemm_algo algo) #else int cublas_gemm_ex(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* beta, const float* A, const float* B, float* C, cublasGemmAlgo_t algo) #endif { #ifdef __HIP_PLATFORM_HCC__ rocblas_status status = rocblas_gemm_ex(handle, transa, transb, m, n, k, (const void*)alpha, (const void*)A, rocblas_datatype_f32_r, (transa == rocblas_operation_none) ? m : k, (const void*)B, rocblas_datatype_f32_r, (transb == rocblas_operation_none) ? k : n, (const void*)beta, C, rocblas_datatype_f32_r, m, C, rocblas_datatype_f32_r, m, rocblas_datatype_f32_r, algo, 0, 0); #else cublasStatus_t status = cublasGemmEx(handle, transa, transb, m, n, k, (const void*)alpha, (const void*)A, CUDA_R_32F, (transa == CUBLAS_OP_N) ? m : k, (const void*)B, CUDA_R_32F, (transb == CUBLAS_OP_N) ? k : n, (const void*)beta, C, CUDA_R_32F, m, CUDA_R_32F, algo); #endif #ifdef __HIP_PLATFORM_HCC__ if (status != rocblas_status_success) { #else if (status != CUBLAS_STATUS_SUCCESS) { #endif fprintf(stderr, "!!!! kernel execution error. (m: %d, n: %d, k: %d, error: %d) \n", m, n, k, (int)status); return EXIT_FAILURE; } return 0; } #ifdef __HIP_PLATFORM_HCC__ int cublas_gemm_ex(rocblas_handle handle, rocblas_operation transa, rocblas_operation transb, int m, int n, int k, const float* alpha, const float* beta, const __half* A, const __half* B, __half* C, rocblas_gemm_algo algo) #else int cublas_gemm_ex(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* beta, const __half* A, const __half* B, __half* C, cublasGemmAlgo_t algo) #endif { #ifdef __HIP_PLATFORM_HCC__ rocblas_status status = rocblas_gemm_ex(handle, transa, transb, m, n, k, (const void*)alpha, (const void*)A, rocblas_datatype_f16_r, (transa == rocblas_operation_none) ? m : k, (const void*)B, rocblas_datatype_f16_r, (transb == rocblas_operation_none) ? k : n, (const void*)beta, (void*)C, rocblas_datatype_f16_r, m, (void*)C, rocblas_datatype_f16_r, m, rocblas_datatype_f32_r, algo, 0, 0); #else cublasStatus_t status = cublasGemmEx(handle, transa, transb, m, n, k, (const void*)alpha, (const void*)A, CUDA_R_16F, (transa == CUBLAS_OP_N) ? m : k, (const void*)B, CUDA_R_16F, (transb == CUBLAS_OP_N) ? k : n, (const void*)beta, (void*)C, CUDA_R_16F, m, CUDA_R_32F, algo); #endif #ifdef __HIP_PLATFORM_HCC__ if (status != rocblas_status_success) { #else if (status != CUBLAS_STATUS_SUCCESS) { #endif fprintf(stderr, "!!!! kernel execution error. (m: %d, n: %d, k: %d, error: %d) \n", m, n, k, (int)status); return EXIT_FAILURE; } return 0; } #ifdef __HIP_PLATFORM_HCC__ int cublas_strided_batched_gemm(rocblas_handle handle, int m, int n, int k, const float* alpha, const float* beta, const float* A, const float* B, float* C, rocblas_operation op_A, rocblas_operation op_B, int stride_A, int stride_B, int stride_C, int batch, rocblas_gemm_algo algo) #else int cublas_strided_batched_gemm(cublasHandle_t handle, int m, int n, int k, const float* alpha, const float* beta, const float* A, const float* B, float* C, cublasOperation_t op_A, cublasOperation_t op_B, int stride_A, int stride_B, int stride_C, int batch, cublasGemmAlgo_t algo) #endif { #ifdef __HIP_PLATFORM_HCC__ rocblas_status status = rocblas_gemm_strided_batched_ex(handle, op_A, op_B, m, n, k, alpha, A, rocblas_datatype_f32_r, (op_A == rocblas_operation_none) ? m : k, stride_A, B, rocblas_datatype_f32_r, (op_B == rocblas_operation_none) ? k : n, stride_B, beta, C, rocblas_datatype_f32_r, m, stride_C, C, rocblas_datatype_f32_r, m, stride_C, batch, rocblas_datatype_f32_r, algo, 0, 0); #else cublasStatus_t status = cublasGemmStridedBatchedEx(handle, op_A, op_B, m, n, k, alpha, A, CUDA_R_32F, (op_A == CUBLAS_OP_N) ? m : k, stride_A, B, CUDA_R_32F, (op_B == CUBLAS_OP_N) ? k : n, stride_B, beta, C, CUDA_R_32F, m, stride_C, batch, CUDA_R_32F, algo); #endif #ifdef __HIP_PLATFORM_HCC__ if (status != rocblas_status_success) { #else if (status != CUBLAS_STATUS_SUCCESS) { #endif fprintf(stderr, "!!!! kernel execution error. (batch: %d, m: %d, n: %d, k: %d, error: %d) \n", batch, m, n, k, (int)status); return EXIT_FAILURE; } return 0; } #ifdef __HIP_PLATFORM_HCC__ int cublas_strided_batched_gemm(rocblas_handle handle, int m, int n, int k, const float* alpha, const float* beta, const __half* A, const __half* B, __half* C, rocblas_operation op_A, rocblas_operation op_B, int stride_A, int stride_B, int stride_C, int batch, rocblas_gemm_algo algo) #else int cublas_strided_batched_gemm(cublasHandle_t handle, int m, int n, int k, const float* alpha, const float* beta, const __half* A, const __half* B, __half* C, cublasOperation_t op_A, cublasOperation_t op_B, int stride_A, int stride_B, int stride_C, int batch, cublasGemmAlgo_t algo) #endif { #ifdef __HIP_PLATFORM_HCC__ rocblas_status status = rocblas_gemm_strided_batched_ex(handle, op_A, op_B, m, n, k, alpha, A, rocblas_datatype_f16_r, (op_A == rocblas_operation_none) ? m : k, stride_A, B, rocblas_datatype_f16_r, (op_B == rocblas_operation_none) ? k : n, stride_B, beta, C, rocblas_datatype_f16_r, m, stride_C, C, rocblas_datatype_f16_r, m, stride_C, batch, rocblas_datatype_f32_r, algo, 0, 0); #else cublasStatus_t status = cublasGemmStridedBatchedEx(handle, op_A, op_B, m, n, k, alpha, A, CUDA_R_16F, (op_A == CUBLAS_OP_N) ? m : k, stride_A, B, CUDA_R_16F, (op_B == CUBLAS_OP_N) ? k : n, stride_B, beta, C, CUDA_R_16F, m, stride_C, batch, CUDA_R_32F, algo); #endif #ifdef __HIP_PLATFORM_HCC__ if (status != rocblas_status_success) { #else if (status != CUBLAS_STATUS_SUCCESS) { #endif fprintf(stderr, "!!!! kernel execution error. (m: %d, n: %d, k: %d, error: %d) \n", m, n, k, (int)status); return EXIT_FAILURE; } return 0; }