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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17659 clangr codemod Reviewed By: ezyang Differential Revision: D14304675 fbshipit-source-id: 45fbd84c50651a70ae29bf46df3322715e99d225
71 lines
1.9 KiB
C++
71 lines
1.9 KiB
C++
#ifndef BOOLEAN_MASK_OPS_H
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#define BOOLEAN_MASK_OPS_H
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/core/tensor.h"
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#include "caffe2/utils/conversions.h"
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namespace caffe2 {
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template <class Context>
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class BooleanMaskOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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template <class... Args>
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explicit BooleanMaskOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...) {}
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bool RunOnDevice() override;
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};
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template <class Context>
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class SequenceMaskOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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explicit SequenceMaskOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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axis_(this->template GetSingleArgument<int>("axis", 1)),
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radius_(this->template GetSingleArgument<int>("radius", 10)),
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grad_(this->template GetSingleArgument<bool>("grad", false)),
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fill_val_(this->template GetSingleArgument<float>(
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"fill_val",
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-1.0f * std::numeric_limits<float>::infinity())) {
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// Mode argument is required
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mode_ = GetArgument(operator_def, "mode").s();
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// batch argument is optional, but if not given, we don't want a default val
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if (HasArgument("batch")) {
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batch_ = GetArgument(operator_def, "batch").i();
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}
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if (HasArgument("repeat_from_axis")) {
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CAFFE_ENFORCE(
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mode_ == "sequence",
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"repeat_from_axis currently only supported in sequence mode.");
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CAFFE_ENFORCE(
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!HasArgument("batch"),
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"repeat_from_axis and batch not currently supported together.");
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repeat_from_ =
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this->template GetSingleArgument<int>("repeat_from_axis", -1);
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}
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}
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bool RunOnDevice() override;
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template <typename T>
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bool DoRunWithType();
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private:
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int axis_;
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int radius_;
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std::string mode_;
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bool grad_;
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float fill_val_;
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int batch_;
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int repeat_from_;
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};
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} // namespace caffe2
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#endif
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