forked from huawei/mindspore2022
66 lines
2.1 KiB
C++
66 lines
2.1 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_DEVICE_GPU_CUDA_COMMON_H_
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#define MINDSPORE_CCSRC_DEVICE_GPU_CUDA_COMMON_H_
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#include <algorithm>
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#include "device/gpu/gpu_device_manager.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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class CudaCommon {
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public:
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inline int threads_num() const { return threads_per_block_; }
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inline int major_sm() const { return major_sm_; }
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inline int blocks_num(const int total_threads) const {
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return std::min(((total_threads - 1) / threads_per_block_) + 1, max_blocks_);
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}
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static CudaCommon &GetInstance() {
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static CudaCommon instance;
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return instance;
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}
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private:
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CudaCommon() {
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uint32_t device_id = GPUDeviceManager::GetInstance().cur_device_id();
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cudaDeviceProp prop;
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(void)cudaGetDeviceProperties(&prop, device_id);
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threads_per_block_ = prop.maxThreadsPerBlock;
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max_blocks_ = prop.multiProcessorCount;
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major_sm_ = prop.major;
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}
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~CudaCommon() = default;
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CudaCommon(const CudaCommon &) = delete;
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CudaCommon &operator=(const CudaCommon &) = delete;
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int max_blocks_;
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int threads_per_block_;
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int major_sm_;
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};
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#define GET_BLOCKS(total_threads) mindspore::device::gpu::CudaCommon::GetInstance().blocks_num(total_threads)
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#define GET_THREADS mindspore::device::gpu::CudaCommon::GetInstance().threads_num()
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#define GET_MAJOR_SM mindspore::device::gpu::CudaCommon::GetInstance().major_sm()
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#define MINIUM_SM 6
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#define RECOMMEND_SM 7
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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_DEVICE_GPU_CUDA_COMMON_H_
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