/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/pad_op.h (2902B)
#ifndef CAFFE2_OPERATORS_PAD_OP_H_
#define CAFFE2_OPERATORS_PAD_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
// Padding mode similar to numpy.
enum class PadMode {
CONSTANT = 0, // pad constant values, with string "constant"
REFLECT = 1, // pads with reflect values, with string "reflect"
EDGE = 2, // pads with the edge values, with string "edge"
};
TORCH_API PadMode StringToPadMode(const string&);
template
class PadImageOp final : public ConvPoolOpBase {
public:
USE_CONV_POOL_BASE_FUNCTIONS(Context);
template
explicit PadImageOp(Args&&... args)
: ConvPoolOpBase(std::forward(args)...),
mode_(StringToPadMode(
this->template GetSingleArgument("mode", "constant"))),
value_(static_cast(
this->template GetSingleArgument("value", 0.0))) {
CAFFE_ENFORCE(
legacy_pad_ == LegacyPadding::NOTSET,
"Padding layer only supports explicit pad values.");
CAFFE_ENFORCE(
dilation_h() == 1 && dilation_w() == 1,
"Pooling op does not support dilation right now.");
CAFFE_ENFORCE(
stride_h() == 1 && stride_w() == 1,
"Pooling op does not support stride right now.");
// Pad op does not use kernel sizes, so we set it to 1 for computing the
// output size.
kernel_.assign(pads_.size() / 2, 1);
}
~PadImageOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
static std::vector PadTensorInference(
const OperatorDef& def,
const vector& in);
private:
PadMode mode_;
T value_;
// Input: X
// Output: Y
};
template
class PadImageGradientOp final : public ConvPoolOpBase {
public:
USE_CONV_POOL_BASE_FUNCTIONS(Context);
template
explicit PadImageGradientOp(Args&&... args)
: ConvPoolOpBase(std::forward(args)...),
mode_(StringToPadMode(
this->template GetSingleArgument("mode", "constant"))) {
CAFFE_ENFORCE(
legacy_pad_ == LegacyPadding::NOTSET,
"Padding layer only supports explicit pad values.");
CAFFE_ENFORCE(
dilation_h() == 1 && dilation_w() == 1,
"Pooling op does not support dilation right now.");
// Pad op does not use kernel sizes, so we set it to 1 for computing the
// output size.
kernel_.assign(pads_.size() / 2, 1);
}
~PadImageGradientOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
private:
PadMode mode_;
// Input: dY
// Output: dX
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_PAD_OP_H_