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#include "caffe2/operators/conv_transpose_op.h"
#include "caffe2/operators/conv_transpose_op_impl.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(
ConvTransposeGradient,
ConvTransposeGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(ConvTransposeGradient).NumInputs(3).NumOutputs(1, 3);
class GetConvTransposeGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
auto compute_dX =
!ArgumentHelper::GetSingleArgument(def_, "no_gradient_to_input", false);
CAFFE_ENFORCE(3 == def_.input_size() || 2 == def_.input_size());
if (def_.input_size() == 3 && compute_dX) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2), GI(0)});
} else if (def_.input_size() == 3) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2)});
} else if (compute_dX) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(0)},
vector<Argument>{MakeArgument<bool>("no_bias", true)});
} else {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1)},
vector<Argument>{MakeArgument<bool>("no_bias", true)});
}
}
};
REGISTER_GRADIENT(ConvTranspose, GetConvTransposeGradient);
} // namespace caffe2
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