blob: 8e357e1224c7414eb5beb5919d10f62aac39468b [file] [log] [blame]
#include "caffe2/operators/conv_op.h"
#include "caffe2/operators/conv_op_impl.h"
#include "caffe2/operators/conv_pool_op_base.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(ConvGradient, ConvGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(ConvGradient).NumInputs(2, 3).NumOutputs(1, 3);
REGISTER_CPU_OPERATOR(Conv1DGradient, ConvGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(Conv1DGradient).NumInputs(2, 3).NumOutputs(1, 3);
REGISTER_CPU_OPERATOR(Conv2DGradient, ConvGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(Conv2DGradient).NumInputs(2, 3).NumOutputs(1, 3);
REGISTER_CPU_OPERATOR(Conv3DGradient, ConvGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(Conv3DGradient).NumInputs(2, 3).NumOutputs(1, 3);
class GetConvGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
CAFFE_ENFORCE(def_.input_size() == 3 || def_.input_size() == 2);
ArgumentHelper argsHelper(def_);
auto compute_dX = !argsHelper.GetSingleArgument<bool>("no_gradient_to_input", 0);
if (def_.input_size() == 3) {
if (compute_dX) {
return SingleGradientDef(
def_.type() + "Gradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2), GI(0)});
} else {
return SingleGradientDef(
def_.type() + "Gradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2)});
}
} else {
if (compute_dX) {
return SingleGradientDef(
def_.type() + "Gradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(0)},
vector<Argument>{MakeArgument<int>("no_bias", 1)});
} else {
return SingleGradientDef(
def_.type() + "Gradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1)},
vector<Argument>{MakeArgument<int>("no_bias", 1)});
}
}
}
};
REGISTER_GRADIENT(Conv, GetConvGradient);
REGISTER_GRADIENT(Conv1D, GetConvGradient);
REGISTER_GRADIENT(Conv2D, GetConvGradient);
REGISTER_GRADIENT(Conv3D, GetConvGradient);
} // namespace caffe2