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https://github.com/saymrwulf/pytorch.git
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8efb762fcd
Summary: @public This has no functionality changes yet, only cleaning up the sequence_op file so that the header is context-independent and I will implement the gpu parts separately. Reviewed By: pietern Differential Revision: D4777140 fbshipit-source-id: 9b4aea6c36f06a64a53e235a125cd3477d54a045
129 lines
3.6 KiB
C++
129 lines
3.6 KiB
C++
#ifndef CAFFE2_OPERATORS_SEQUENCE_OPS_H_
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#define CAFFE2_OPERATORS_SEQUENCE_OPS_H_
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#include "caffe2/core/operator.h"
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#include "caffe2/core/tensor.h"
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namespace caffe2 {
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template <class Context>
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class GatherPaddingOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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GatherPaddingOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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startPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("padding_width", 1)),
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endPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
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CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
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if (endPaddingWidth_ < 0) {
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endPaddingWidth_ = startPaddingWidth_;
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}
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}
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bool RunOnDevice() override {
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if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
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Output(0)->Resize(std::vector<TIndex>(0));
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if (OutputSize() == 2) {
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Output(1)->Resize(std::vector<TIndex>(0));
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}
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return true;
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}
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return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
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this, Input(0));
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}
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template <typename T>
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bool DoRunWithType();
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private:
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int startPaddingWidth_;
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int endPaddingWidth_;
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};
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template <class Context>
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class RemovePaddingOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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RemovePaddingOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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startPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("padding_width", 1)),
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endPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
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CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
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if (endPaddingWidth_ < 0) {
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endPaddingWidth_ = startPaddingWidth_;
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}
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}
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bool RunOnDevice() override {
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if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
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Output(0)->CopyFrom(Input(0), &context_);
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if (OutputSize() == 2) {
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Output(1)->CopyFrom(Input(1), &context_);
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}
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return true;
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}
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return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
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this, Input(0));
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}
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template <typename T>
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bool DoRunWithType();
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private:
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int startPaddingWidth_;
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int endPaddingWidth_;
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};
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template <class Context>
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class AddPaddingOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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AddPaddingOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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startPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("padding_width", 1)),
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endPaddingWidth_(
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OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
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CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
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if (endPaddingWidth_ < 0) {
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endPaddingWidth_ = startPaddingWidth_;
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}
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}
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bool RunOnDevice() override {
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if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
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Output(0)->CopyFrom(Input(0), &context_);
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if (OutputSize() == 2) {
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Output(1)->CopyFrom(Input(1), &context_);
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}
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return true;
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}
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return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
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this, Input(0));
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}
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template <typename T>
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bool DoRunWithType();
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private:
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int startPaddingWidth_;
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int endPaddingWidth_;
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};
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template <class Context>
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class PadEmptySamplesOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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PadEmptySamplesOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws) {}
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bool RunOnDevice() override;
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_SEQUENCE_OPS_H_
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