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67 lines
2.0 KiB
67 lines
2.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#ifndef PADDLE_ONLY_CPU
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#include <cuda_runtime.h>
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#include <stddef.h>
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#include <string>
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namespace paddle {
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namespace platform {
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//! Environment variable: fraction of GPU memory to use on each device.
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const std::string kEnvFractionGpuMemoryToUse =
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"PADDLE_FRACTION_GPU_MEMORY_TO_USE";
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//! Get the total number of GPU devices in system.
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int GetDeviceCount();
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//! Get the current GPU device id in system.
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int GetCurrentDeviceId();
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//! Set the GPU device id for next execution.
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void SetDeviceId(int device_id);
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//! Get the memory usage of current GPU device.
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void GpuMemoryUsage(size_t &available, size_t &total);
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//! Get the maximum allocation size of current GPU device.
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size_t GpuMaxAllocSize();
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//! Get the minimum chunk size for GPU buddy allocator.
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size_t GpuMinChunkSize();
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//! Get the maximum chunk size for GPU buddy allocator.
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size_t GpuMaxChunkSize();
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//! Copy memory from address src to dst asynchronously.
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void GpuMemcpyAsync(void *dst, const void *src, size_t count,
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enum cudaMemcpyKind kind, cudaStream_t stream);
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//! Copy memory from address src to dst synchronously.
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void GpuMemcpySync(void *dst, const void *src, size_t count,
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enum cudaMemcpyKind kind);
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//! Copy memory from one device to another device.
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void GpuMemcpyPeer(void *dst, int dst_device, const void *src, int src_device,
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size_t count, cudaStream_t stream);
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} // namespace platform
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} // namespace paddle
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#endif // PADDLE_ONLY_CPU
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