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54db14e390
Summary: The goal of this PR is to add an infrastructure; to convert(hipify) CUDA ops into [HIP](https://github.com/ROCm-Developer-Tools/HIP) ops , at **compile** time. Note that HIP ops, which are portable c++ code, can run on AMD and NVIDIA platform. Pull Request resolved: https://github.com/pytorch/pytorch/pull/9322 Differential Revision: D8884707 Pulled By: bddppq fbshipit-source-id: dabc6319546002c308c10528238e6684f7aef0f8
14 lines
582 B
C++
14 lines
582 B
C++
#include "caffe2/core/context_gpu.h"
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#include "caffe2/operators/counter_ops.h"
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namespace caffe2 {
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REGISTER_CUDA_OPERATOR(CreateCounter, CreateCounterOp<int64_t, CUDAContext>);
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REGISTER_CUDA_OPERATOR(ResetCounter, ResetCounterOp<int64_t, CUDAContext>);
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REGISTER_CUDA_OPERATOR(CountDown, CountDownOp<int64_t, CUDAContext>);
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REGISTER_CUDA_OPERATOR(
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CheckCounterDone,
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CheckCounterDoneOp<int64_t, CUDAContext>);
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REGISTER_CUDA_OPERATOR(CountUp, CountUpOp<int64_t, CUDAContext>);
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REGISTER_CUDA_OPERATOR(RetrieveCount, RetrieveCountOp<int64_t, CUDAContext>);
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} // namespace caffe2
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