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