aba83497f5
Please approve this CL. It will be submitted automatically, and its GitHub pull request will be marked as merged. Imported from GitHub PR #25011 New PR to continue the efforts started by @deven-amd in #20709 / #22669 / #24156. This PR aims to refactor StreamExecutor GPU interfaces so it can be shared among CUDA and ROCm. The PR would be the first part of a series of PRs. Based on @timshen91 's inputs, I've refactored logic in #214156 so : - only contains changes in stream_executor/.... - does not remove any stream_executor/cuda/*.h, so that things outside of stream_executor don't break. All the types and functions in the namespace cuda now alias to namespace gpu counterparts. For example, namespace cuda { using CUDADriver = gpu::GpuDriver; }. - all stream_executor/gpu/BUILD targets should be only visible to //third_party/tensorflow/stream_executor:__subpackages__. - target stream_executor/gpu:X should be only used by stream_executor/cuda:cuda_X or stream_executor/rocm:rocm_X, not cuda_Y. For example, cuda:cuda_platform should depend on cuda:cuda_driver, not gpu:gpu_driver. Copybara import of the project: - 267affbb73df9164baf4e62142fe7201e6a305ee [ROCm][CUDA] StreamExecutor logic for ROCm / CUDA platform by Wen-Heng (Jack) Chung <whchung@gmail.com> - 04fac5bf358059bdb2cd4a3e092e52dc982ea7b0 Merge 267affbb73df9164baf4e62142fe7201e6a305ee into 5f8ea... by Wen-Heng (Jack) Chung <whchung@gmail.com> COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/25011 from ROCmSoftwarePlatform:google-upstream-pr-stream-executor-alt 267affbb73df9164baf4e62142fe7201e6a305ee PiperOrigin-RevId: 231250990
36 lines
1.4 KiB
C++
36 lines
1.4 KiB
C++
/* Copyright 2015 The TensorFlow 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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==============================================================================*/
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// The CUDA implementation of the StreamExecutorInterface functionality.
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// CUDA inclusions are ideally confined to this implementation file.
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//
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// The notions from the StreamExecutor basically correspond to the CUDA streams
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// programming model provided by the libcuda.so driver APIs, so we don't have
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// to do much more than wrap the calls to the libraries appropriately.
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#ifndef TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_KERNEL_H_
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#define TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_KERNEL_H_
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#include "tensorflow/stream_executor/gpu/gpu_kernel.h"
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namespace stream_executor {
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namespace cuda {
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using CUDAKernel = gpu::GpuKernel;
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} // namespace cuda
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} // namespace stream_executor
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#endif // TENSORFLOW_STREAM_EXECUTOR_CUDA_CUDA_KERNEL_H_
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