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#ifndef SPATIAL_SOFTMAX_WITH_LOSS_OP_H_
#define SPATIAL_SOFTMAX_WITH_LOSS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class SpatialSoftmaxWithLossOp final : public Operator<Context> {
public:
template <class... Args>
explicit SpatialSoftmaxWithLossOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
scale_(this->template GetSingleArgument<float>("scale", 1.)),
order_(StringToStorageOrder(
this->template GetSingleArgument<string>("order", "NCHW"))) {
CAFFE_ENFORCE(scale_ >= 0);
CAFFE_ENFORCE_EQ(
order_, StorageOrder::NCHW, "Only NCHW order is supported right now.");
}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
float scale_;
StorageOrder order_;
Tensor losses_; // Per example loss
Tensor rowmax_; // per example row max
Tensor weights_; // unignored weights
Tensor sum_multiplier_; // Vector of ones for summing via dot prod
Tensor total_weight_ptr_;
Tensor scratch_{Context::GetDeviceType()};
};
template <typename T, class Context>
class SpatialSoftmaxWithLossGradientOp final : public Operator<Context> {
public:
template <class... Args>
explicit SpatialSoftmaxWithLossGradientOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
scale_(this->template GetSingleArgument<float>("scale", 1.)),
order_(StringToStorageOrder(
this->template GetSingleArgument<string>("order", "NCHW"))),
only_loss_(this->template GetSingleArgument<bool>("only_loss", false)) {
CAFFE_ENFORCE(scale_ >= 0);
CAFFE_ENFORCE_EQ(
order_, StorageOrder::NCHW, "Only NCHW order is supported right now.");
}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
float scale_;
Tensor sum_multiplier_;
Tensor weights_; // unignored weights
Tensor total_weight_ptr_;
StorageOrder order_;
bool only_loss_;
Tensor scratch_{Context::GetDeviceType()};
};
} // namespace caffe2
#endif // SOFTMAX_WITH_LOSS_OP_H_
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