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a9395ce259
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17090 clangr codemod Reviewed By: ezyang Differential Revision: D14078550 fbshipit-source-id: 68e6de4298e55ce83039b7806c1a275c4d6593c8
43 lines
1.2 KiB
C++
43 lines
1.2 KiB
C++
#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 {
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namespace {
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class GetAllBlobNamesOp final : public Operator<CPUContext> {
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public:
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explicit GetAllBlobNamesOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<CPUContext>(operator_def, ws),
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include_shared_(GetSingleArgument<int>("include_shared", true)),
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ws_(ws) {}
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bool RunOnDevice() override {
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const auto& blobs = include_shared_ ? ws_->Blobs() : ws_->LocalBlobs();
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auto* out = Output(0, {static_cast<int64_t>(blobs.size())}, at::dtype<std::string>());
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std::copy(
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blobs.begin(), blobs.end(), out->template mutable_data<std::string>());
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return true;
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}
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private:
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bool include_shared_;
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Workspace* ws_;
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};
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REGISTER_CPU_OPERATOR(GetAllBlobNames, GetAllBlobNamesOp);
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OPERATOR_SCHEMA(GetAllBlobNames)
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.NumInputs(0)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Return a 1D tensor of strings containing the names
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of each blob in the active workspace.
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)DOC")
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.Arg(
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"include_shared",
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"(bool, default true) Whether to include blobs "
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"inherited from parent workspaces.")
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.Output(0, "blob_names", "1D tensor of strings containing blob names.");
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SHOULD_NOT_DO_GRADIENT(GetAllBlobNamesOp);
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}
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}
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