/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/boolean_mask_ops.h (2665B)
#ifndef CAFFE2_OPERATORS_BOOLEAN_MASK_OPS_H_
#define CAFFE2_OPERATORS_BOOLEAN_MASK_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/conversions.h"
namespace caffe2 {
template
class BooleanMaskOp final : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template
explicit BooleanMaskOp(Args&&... args)
: Operator(std::forward(args)...) {}
bool RunOnDevice() override;
};
template
class BooleanMaskOpGradient final : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
BooleanMaskOpGradient(const OperatorDef& operator_def, Workspace* ws)
: Operator(operator_def, ws) {}
/* Calculating the gradient of the Boolean Mask operator
* requires access to the original mask that's passed in,
* and the gradient to backpropagate.
*/
bool RunOnDevice() override {
return DispatchHelper<
TensorTypes>::
call(this, Input(1));
}
template
bool DoRunWithType();
};
template
class SequenceMaskOp final : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
explicit SequenceMaskOp(const OperatorDef& operator_def, Workspace* ws)
: Operator(operator_def, ws),
axis_(this->template GetSingleArgument("axis", 1)),
radius_(this->template GetSingleArgument("radius", 10)),
grad_(this->template GetSingleArgument("grad", false)),
fill_val_(this->template GetSingleArgument(
"fill_val",
-1.0f * std::numeric_limits::infinity())) {
// Mode argument is required
mode_ = GetArgument(operator_def, "mode").s();
// batch argument is optional, but if not given, we don't want a default val
if (HasArgument("batch")) {
batch_ = GetArgument(operator_def, "batch").i();
}
if (HasArgument("repeat_from_axis")) {
CAFFE_ENFORCE(
mode_ == "sequence",
"repeat_from_axis currently only supported in sequence mode.");
CAFFE_ENFORCE(
!HasArgument("batch"),
"repeat_from_axis and batch not currently supported together.");
repeat_from_ =
this->template GetSingleArgument("repeat_from_axis", -1);
}
}
bool RunOnDevice() override;
template
bool DoRunWithType();
private:
int axis_;
int radius_;
std::string mode_;
bool grad_;
float fill_val_;
int batch_;
int repeat_from_;
};
} // namespace caffe2
#endif