forked from huawei/mindspore2022
149 lines
8.4 KiB
C++
149 lines
8.4 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_GPU_COMMON_H_
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#define MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_GPU_COMMON_H_
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#include <iostream>
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#include <vector>
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#include <algorithm>
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#include <map>
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#include "utils/log_adapter.h"
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#include "include/curand.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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#define CHECK_OP_RET_WITH_EXCEPT(expression, message) \
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{ \
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bool success = (expression); \
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if (!success) { \
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MS_LOG(EXCEPTION) << "Op Error: " << message << " | Error Number: " << success; \
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} \
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}
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#define CHECK_OP_RET_WITH_ERROR(expression, message) \
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{ \
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bool success = (expression); \
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if (!success) { \
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MS_LOG(ERROR) << "Op Error: " << message << " | Error Number: " << success; \
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} \
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}
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#define CHECK_CUDA_RET_WITH_ERROR(expression, message) \
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{ \
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cudaError_t status = (expression); \
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if (status != cudaSuccess) { \
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MS_LOG(ERROR) << "CUDA Error: " << message << " | Error Number: " << status << " " \
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<< cudaGetErrorString(status); \
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} \
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}
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#define CHECK_CUDA_RET_WITH_EXCEPT(expression, message) \
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{ \
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cudaError_t status = (expression); \
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if (status != cudaSuccess) { \
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MS_LOG(EXCEPTION) << "CUDA Error: " << message << " | Error Number: " << status << " " \
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<< cudaGetErrorString(status); \
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} \
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}
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#define CHECK_CUDNN_RET_WITH_EXCEPT(expression, message) \
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{ \
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cudnnStatus_t status = (expression); \
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if (status != CUDNN_STATUS_SUCCESS) { \
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MS_LOG(EXCEPTION) << "cuDNN Error: " << message << " | Error Number: " << status << " " \
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<< cudnnGetErrorString(status); \
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} \
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}
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#define CHECK_CUDNN_RET_WITH_ERROR(expression, message) \
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{ \
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cudnnStatus_t status = (expression); \
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if (status != CUDNN_STATUS_SUCCESS) { \
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MS_LOG(ERROR) << "cuDNN Error: " << message << " | Error Number: " << status << " " \
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<< cudnnGetErrorString(status); \
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} \
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}
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#define CHECK_CUBLAS_RET_WITH_EXCEPT(expression, message) \
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{ \
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cublasStatus_t status = (expression); \
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if (status != CUBLAS_STATUS_SUCCESS) { \
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MS_LOG(EXCEPTION) << "cuBLAS Error: " << message << " | Error Number: " << status; \
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} \
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}
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#define CHECK_CUBLAS_RET_WITH_ERROR(expression, message) \
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{ \
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cublasStatus_t status = (expression); \
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if (status != CUBLAS_STATUS_SUCCESS) { \
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MS_LOG(ERROR) << "cuBLAS Error: " << message << " | Error Number: " << status; \
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} \
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}
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#define CHECK_CUSOLVER_RET_WITH_EXCEPT(expression, message) \
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{ \
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cusolverStatus_t status = (expression); \
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if (status != CUSOLVER_STATUS_SUCCESS) { \
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MS_LOG(EXCEPTION) << "cusolver Error: " << message << " | Error Number: " << status; \
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} \
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}
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#define CHECK_CUSOLVER_RET_WITH_ERROR(expression, message) \
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{ \
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cusolverStatus_t status = (expression); \
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if (status != CUSOLVER_STATUS_SUCCESS) { \
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MS_LOG(ERROR) << "cusolver Error: " << message << " | Error Number: " << status; \
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} \
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}
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#define CHECK_NCCL_RET_WITH_EXCEPT(expression, message) \
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{ \
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int result = (expression); \
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if (result != ncclSuccess) { \
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MS_LOG(EXCEPTION) << "NCCL Error: " << message << " | Error Number: " << result; \
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} \
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}
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#define VARIABLE_NOT_USED(var) \
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{ (void)(var); }
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inline bool CheckNullInput(std::vector<size_t> input_shape) {
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// If input_shape.size() == 0, it means a scalar input; If input_shape.size() != 0 and input_shape contains 0,
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// it means a null input. Just return a null output.
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if (input_shape.size() != 0) {
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if (std::any_of(input_shape.begin(), input_shape.end(), [](size_t i) { return i == 0; })) {
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return true;
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}
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}
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return false;
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}
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#define CHECK_NULL_INPUT(input_shape) mindspore::device::gpu::CheckNullInput(input_shape)
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#define CHECK_CURAND_RET_WITH_EXCEPT(expression, message) \
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{ \
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curandStatus_t status = (expression); \
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if (status != CURAND_STATUS_SUCCESS) { \
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MS_LOG(EXCEPTION) << "CUAD curand Error: " << message << " | curandStatus: " << status; \
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} \
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}
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_GPU_COMMON_H_
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