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paddlepaddle--paddle/paddle/cinn/common/nvgpu_dev_info.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2023 CINN Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#ifdef CINN_WITH_CUDA
#include <ostream>
#include <string>
#include <vector>
#include "paddle/cinn/backends/cuda_util.h"
#include "paddle/cinn/common/dev_info_base.h"
#include "paddle/cinn/common/macros.h"
#include "paddle/cinn/common/target.h"
namespace cinn {
namespace common {
class NVGPUDevInfo : public DevInfoBase {
public:
// Note(LiuYang):Since CI own zero GPU while compiling CINN_WITH_CUDA, here
// I can't use CUDA_CALL to check ret of cuda_runtime_api, devops should
// always check IsValid before use other api functions.
explicit NVGPUDevInfo(int device_num = 0) : DevInfoBase(device_num) {
if (cudaGetDeviceProperties(&prop_, device_num) != cudaSuccess)
is_valid_ = false;
}
bool IsValid() const { return is_valid_; }
std::array<int, 3> GetMaxGridDims() const;
std::array<int, 3> GetMaxBlockDims() const;
int GetMultiProcessorCount() const;
int GetMaxThreadsPerMultiProcessor() const;
int GetMaxThreadsPerBlock() const;
size_t GetMaxSharedMemPerBlock() const;
private:
bool is_valid_{true};
cudaDeviceProp prop_;
};
} // namespace common
} // namespace cinn
#endif