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// Copyright 2004-present Facebook. All Rights Reserved.
#pragma once
#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 SessionMarginLossOp final : public Operator<Context> {
public:
template <class... Args>
explicit SessionMarginLossOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
margin_(this->template GetSingleArgument<float>("margin", 1.0)) {}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
private:
INPUT_TAGS(PRED, LABEL, SESSION_LENS);
OUTPUT_TAGS(LOSS, DPRED);
void ResizeInvLogITensor(int);
void ComputeDiscounts(int*, int);
float SessionMarginLoss(
int start_index,
int end_index,
const Tensor& pred,
const Tensor& label,
Tensor** dpred);
float margin_;
Tensor label_relation_sign_;
Tensor margin_diff_;
};
template <typename T, class Context>
class SessionMarginLossGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(SessionMarginLossGradientOp)
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
private:
INPUT_TAGS(PRED, SESSION_LENS, PRECOMPUTED_DPRED, DLOSS);
OUTPUT_TAGS(DPRED);
};
} // namespace caffe2
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