wehub-resource-sync
149 lines
4.3 KiB
C++
149 lines
4.3 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#include <stddef.h>
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#include <array>
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#include <string>
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#include <utility>
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#include <vector>
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#include "paddle/common/macros.h"
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#include "paddle/phi/backends/gpu/gpu_types.h"
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namespace phi {
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namespace backends {
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namespace gpu {
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//! Get the version of dnn
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int DnnVersion();
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//! Get the total number of GPU devices in system.
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PADDLE_API int GetGPUDeviceCount();
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//! Get the compute capability of the ith GPU (format: major * 10 + minor)
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int GetGPUComputeCapability(int id);
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//! Get the runtime version of the ith GPU
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int GetGPURuntimeVersion(int id);
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//! Get the driver version of the ith GPU
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int GetGPUDriverVersion(int id);
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//! Whether the current device support TensorCore
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PADDLE_API bool TensorCoreAvailable();
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//! Get the MultiProcessors of the ith GPU.
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int GetGPUMultiProcessors(int id);
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//! Get the MaxThreads of each MultiProcessor of the ith GPU.
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int GetGPUMaxThreadsPerMultiProcessor(int id);
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//! Get the MaxThreads of each block of the ith GPU.
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int GetGPUMaxThreadsPerBlock(int id);
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//! Get the current GPU device id in system.
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PADDLE_API int GetCurrentDeviceId();
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//! Get the maximum GridDim size for GPU buddy allocator.
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std::array<unsigned int, 3> GetGpuMaxGridDimSize(int);
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std::pair<int, int> GetGpuStreamPriorityRange();
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//! Get a list of device ids from environment variable or use all.
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std::vector<int> GetSelectedDevices();
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//! Get the properties of the ith GPU device.
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PADDLE_API const gpuDeviceProp &GetDeviceProperties(int id);
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//! Set the GPU device id for next execution.
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PADDLE_API void SetDeviceId(int device_id);
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//! Get the available memory to allocate, which is the size of available gpu
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//! minus reserving.
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size_t GpuAvailableMemToAlloc();
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//! Get the minimum chunk size for GPU buddy allocator.
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size_t GpuMinChunkSize();
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//! Copy memory from address src to dst asynchronously.
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void GpuMemcpyAsync(void *dst,
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const void *src,
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size_t count,
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gpuMemcpyKind kind,
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gpuStream_t stream);
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//! Copy memory from address src to dst synchronously.
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void GpuMemcpySync(void *dst,
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const void *src,
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size_t count,
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gpuMemcpyKind kind);
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//! Copy memory from one device to another device asynchronously.
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void GpuMemcpyPeerAsync(void *dst,
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int dst_device,
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const void *src,
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int src_device,
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size_t count,
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gpuStream_t stream);
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//! Copy memory from one device to another device synchronously.
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void GpuMemcpyPeerSync(
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void *dst, int dst_device, const void *src, int src_device, size_t count);
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//! Set memory dst with value count size asynchronously
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void GpuMemsetAsync(void *dst, int value, size_t count, gpuStream_t stream);
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//! Blocks until stream has completed all operations.
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PADDLE_API void GpuStreamSync(gpuStream_t stream);
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void GpuDestroyStream(gpuStream_t stream);
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// ! Blocks until device has completed all operations.
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void GpuDeviceSync();
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gpuError_t GpuGetLastError();
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bool IsGPUManagedMemorySupported(int dev_id);
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bool IsGPUManagedMemoryOversubscriptionSupported(int dev_id);
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class GPUDeviceGuard {
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public:
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explicit inline GPUDeviceGuard(int dev_id) {
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int prev_id = GetCurrentDeviceId();
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if (prev_id != dev_id) {
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prev_id_ = prev_id;
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SetDeviceId(dev_id);
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}
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}
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inline ~GPUDeviceGuard() {
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if (prev_id_ != -1) {
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SetDeviceId(prev_id_);
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}
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}
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GPUDeviceGuard(const GPUDeviceGuard &o) = delete;
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GPUDeviceGuard &operator=(const GPUDeviceGuard &o) = delete;
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private:
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int prev_id_{-1};
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};
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} // namespace gpu
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} // namespace backends
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} // namespace phi
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#endif
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