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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef CAFFE2_OPERATORS_CROSS_ENTROPY_OP_H_
#define CAFFE2_OPERATORS_CROSS_ENTROPY_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 LabelCrossEntropyOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(LabelCrossEntropyOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
static constexpr T kLOG_THRESHOLD() {
return static_cast<T>(1e-20);
}
// Input: X, label
// Output: Y
};
template <typename T, class Context>
class LabelCrossEntropyGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(LabelCrossEntropyGradientOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// Input: X, label, dY
// Ouptut: dX. There is no gradient with respect to the label.
static constexpr T kLOG_THRESHOLD() {
return static_cast<T>(1e-20);
}
};
// Hacky: turns a vector of probabilities into a 2-column matrix with
// complimentary probabilities for binary classification
template <typename T, class Context>
class MakeTwoClassOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(MakeTwoClassOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// Input: X
// Output: Y = vstack(1-X, X)
};
template <typename T, class Context>
class MakeTwoClassGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(MakeTwoClassGradientOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// Input: dY
// Ouptut: dX
};
template <typename T, class Context>
class SigmoidCrossEntropyWithLogitsOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(SigmoidCrossEntropyWithLogitsOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
};
template <typename T, class Context>
class SigmoidCrossEntropyWithLogitsGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(SigmoidCrossEntropyWithLogitsGradientOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
};
template <typename T, class Context>
class WeightedSigmoidCrossEntropyWithLogitsOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(WeightedSigmoidCrossEntropyWithLogitsOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
};
template <typename T, class Context>
class WeightedSigmoidCrossEntropyWithLogitsGradientOp final
: public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(WeightedSigmoidCrossEntropyWithLogitsGradientOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
};
template <typename T, class Context>
class CrossEntropyOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(CrossEntropyOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// Input: X, label
// Output: Y
static constexpr T kLOG_THRESHOLD() {
return static_cast<T>(1e-20);
}
};
template <typename T, class Context>
class CrossEntropyGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(CrossEntropyGradientOp);
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// Input: X, label, dY
// Ouptut: dX. There is no gradient with respect to the label.
static constexpr T kLOG_THRESHOLD() {
return static_cast<T>(1e-20);
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_CROSS_ENTROPY_OP_H_