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https://github.com/zebrajr/pytorch.git
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38f3d1fc40
Summary: still influx. Pull Request resolved: https://github.com/pytorch/pytorch/pull/12144 Reviewed By: smessmer Differential Revision: D10140176 Pulled By: Yangqing fbshipit-source-id: 1a313abed022039333e3925d19f8b3ef2d95306c
35 lines
1.0 KiB
C++
35 lines
1.0 KiB
C++
#include "conv_op_shared.h"
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#include "caffe2/core/context.h"
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#include "caffe2/core/flags.h"
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#include "caffe2/core/workspace.h"
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C10_DEFINE_bool(
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caffe2_force_shared_col_buffer,
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false,
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"Always use the shared col buffer");
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namespace caffe2 {
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template <>
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void createSharedBuffer<CPUContext>(Workspace* ws) {
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auto* mutexPtr = ws->CreateBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU_MUTEX__")
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->GetMutable<std::unique_ptr<std::mutex>>();
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mutexPtr->reset(new std::mutex());
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ws->CreateBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU__");
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}
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template <>
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void runWithSharedBuffer<CPUContext>(
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Workspace* ws,
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std::function<void(Tensor* buffer)> f) {
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auto* mutexBlob = ws->GetBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU_MUTEX__");
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CAFFE_ENFORCE(mutexBlob, "Must call createSharedBuffer() first");
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auto* mutexPtr = mutexBlob->GetMutable<std::unique_ptr<std::mutex>>();
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std::lock_guard<std::mutex> g(**mutexPtr);
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auto* buffer = BlobGetMutableTensor(
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ws->GetBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU__"), CPU);
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f(buffer);
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}
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}
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