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#ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_transpose_unpool_op_base.h"
namespace caffe2 {
template <typename T, class Context>
class ConvTransposeOp final : public ConvTransposeUnpoolBase<Context> {
public:
USE_CONV_TRANSPOSE_UNPOOL_BASE_FUNCTIONS(Context);
template <class... Args>
explicit ConvTransposeOp(Args&&... args)
: ConvTransposeUnpoolBase<Context>(std::forward<Args>(args)...) {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
private:
Tensor col_buffer_;
Tensor bias_multiplier_;
// Input: X, W, b
// Output: Y
INPUT_TAGS(INPUT, FILTER, BIAS);
};
template <typename T, class Context>
class ConvTransposeGradientOp final : public ConvTransposeUnpoolBase<Context> {
public:
USE_CONV_TRANSPOSE_UNPOOL_BASE_FUNCTIONS(Context);
template <class... Args>
explicit ConvTransposeGradientOp(Args&&... args)
: ConvTransposeUnpoolBase<Context>(std::forward<Args>(args)...),
no_bias_(this->template GetSingleArgument<bool>("no_bias", false)) {
CAFFE_ENFORCE(
!(no_bias_ && OutputSize() == 3),
"If bias is not present, you should not have 3 grad output.");
}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
private:
Tensor col_buffer_;
Tensor bias_multiplier_;
const bool no_bias_;
// input: X, W, dY
// output: dW, optionally db and dX
INPUT_TAGS(INPUT, FILTER, OUTPUT_GRAD);
OUTPUT_TAGS(FILTER_GRAD, BIAS_OR_INPUT_GRAD, INPUT_GRAD);
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_CONV_TRANSPOSE_OP_H_
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