caffe2/operators/half_float_ops.cc

#include "caffe2/operators/half_float_ops.h"

namespace caffe2 {
OPERATOR_SCHEMA(FloatToHalf)
    .NumInputs(1)
    .NumOutputs(1)
    .TensorInferenceFunction(
        [](const OperatorDef& def, const vector<TensorShape>& in) {
          vector<TensorShape> out;
          const TensorShape& X = in[0];
          out.push_back(X);
          out[0].set_data_type(TensorProto_DataType_FLOAT16);

          return out;
        });

OPERATOR_SCHEMA(HalfToFloat)
    .NumInputs(1)
    .NumOutputs(1)
    .TensorInferenceFunction(
        [](const OperatorDef& def, const vector<TensorShape>& in) {
          vector<TensorShape> out;
          const TensorShape& X = in[0];
          out.push_back(X);
          out[0].set_data_type(TensorProto_DataType_FLOAT);

          return out;
        });
OPERATOR_SCHEMA(Float16ConstantFill)
    .NumInputs(0)
    .NumOutputs(1)
    .TensorInferenceFunction(Float16FillerTensorInference)
    .Arg("value", "The value for the elements of the output tensor.")
    .Arg("shape", "The shape of the output tensor.")
    .Output(
        0,
        "output",
        "Output tensor of constant values specified by 'value'");

class GetFloatToHalfGradient : public GradientMakerBase {
  using GradientMakerBase::GradientMakerBase;
  vector<OperatorDef> GetGradientDefs() override {
    return SingleGradientDef(
        "HalfToFloat", "", vector<string>{GO(0)}, vector<string>{GI(0)});
  }
};
REGISTER_GRADIENT(FloatToHalf, GetFloatToHalfGradient);

class GetHalfToFloatGradient : public GradientMakerBase {
  using GradientMakerBase::GradientMakerBase;
  vector<OperatorDef> GetGradientDefs() override {
    return SingleGradientDef(
        "FloatToHalf", "", vector<string>{GO(0)}, vector<string>{GI(0)});
  }
};
REGISTER_GRADIENT(HalfToFloat, GetHalfToFloatGradient);
NO_GRADIENT(Float16ConstantFill);
} // namespace caffe2