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Manual hipify caffe2/distributed and rocm update (no hcc modules support) (#18088)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18088 Manually hipify the distributed folder Reviewed By: bddppq Differential Revision: D14482702 fbshipit-source-id: cc0abdf525b423ab1f18db8010d21e27c6668d36
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@ -1,11 +1,21 @@
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#include "caffe2/distributed/file_store_handler_op.h"
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#ifndef __HIP_PLATFORM_HCC__
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#include <caffe2/core/context_gpu.h>
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#else
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#include <caffe2/core/hip/context_gpu.h>
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#endif
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namespace caffe2 {
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#ifndef __HIP_PLATFORM_HCC__
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REGISTER_CUDA_OPERATOR(
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FileStoreHandlerCreate,
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FileStoreHandlerCreateOp<CUDAContext>);
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#else
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REGISTER_HIP_OPERATOR(
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FileStoreHandlerCreate,
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FileStoreHandlerCreateOp<HIPContext>);
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#endif
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} // namespace caffe2
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@ -1,11 +1,21 @@
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#include "caffe2/distributed/redis_store_handler_op.h"
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#ifndef __HIP_PLATFORM_HCC__
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#include <caffe2/core/context_gpu.h>
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#else
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#include <caffe2/core/hip/context_gpu.h>
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#endif
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namespace caffe2 {
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#ifndef __HIP_PLATFORM_HCC__
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REGISTER_CUDA_OPERATOR(
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RedisStoreHandlerCreate,
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RedisStoreHandlerCreateOp<CUDAContext>);
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#else
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REGISTER_HIP_OPERATOR(
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RedisStoreHandlerCreate,
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RedisStoreHandlerCreateOp<HIPContext>);
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#endif
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} // namespace caffe2
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@ -2262,6 +2262,10 @@ PYTORCH_SPECIFIC_MAPPINGS = collections.OrderedDict([
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CAFFE2_SPECIFIC_MAPPINGS = collections.OrderedDict([
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("cuda_stream" , ("hip_stream", API_CAFFE2)),
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# if the header is a native hip folder (under hip directory),
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# there is no need to add a hip path to it; the trie in hipify script
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# takes this mapping order to forbid further replacement
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("/hip/" , ("/hip/", API_CAFFE2)),
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("/context_gpu" , ("/hip/context_gpu", API_CAFFE2)),
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("/common_gpu" , ("/hip/common_gpu", API_CAFFE2)),
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("/mixed_utils" , ("/hip/mixed_utils", API_CAFFE2)),
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