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1c2ed4eb23
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13942 Codemod generated with clangr shard mode, 25 files per diff, motivation: https://github.com/pytorch/pytorch/pull/12407 Reviewed By: smessmer Differential Revision: D13054770 fbshipit-source-id: a9e86e5dfcb4f7cebf5243e1d359fad064561bed
46 lines
1.2 KiB
C++
46 lines
1.2 KiB
C++
#include "caffe2/operators/create_scope_op.h"
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C10_DEFINE_bool(
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caffe2_workspace_stack_debug,
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false,
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"Enable debug checks for CreateScope's workspace stack");
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namespace caffe2 {
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CAFFE_KNOWN_TYPE(detail::WorkspaceStack);
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template <>
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bool CreateScopeOp<CPUContext>::RunOnDevice() {
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auto* ws_stack = OperatorBase::Output<detail::WorkspaceStack>(0);
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ws_stack->clear();
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return true;
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}
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REGISTER_CPU_OPERATOR(CreateScope, CreateScopeOp<CPUContext>);
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SHOULD_NOT_DO_GRADIENT(CreateScope);
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OPERATOR_SCHEMA(CreateScope).NumInputs(0).NumOutputs(1).SetDoc(R"DOC(
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'CreateScope' operator initializes and outputs empty scope that is used
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by Do operator to store local blobs
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)DOC");
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template <>
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bool HasScopeOp<CPUContext>::RunOnDevice() {
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const auto& ws_stack = OperatorBase::Input<detail::WorkspaceStack>(0);
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auto* output = Output(0, {1}, at::dtype<bool>());
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bool* output_value = output->template mutable_data<bool>();
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*output_value = !ws_stack.empty();
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return true;
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}
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REGISTER_CPU_OPERATOR(HasScope, HasScopeOp<CPUContext>);
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SHOULD_NOT_DO_GRADIENT(HasScope);
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OPERATOR_SCHEMA(HasScope).NumInputs(1).NumOutputs(1).SetDoc(R"DOC(
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Checks whether scope blob has any saved scopes left
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)DOC");
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} // namespace caffe2
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