| /*! |
| * Copyright (c) 2017 by Contributors |
| * \file dequantize.cc |
| * \brief |
| */ |
| #include "./dequantize-inl.h" |
| |
| namespace mxnet { |
| namespace op { |
| DMLC_REGISTER_PARAMETER(DequantizeParam); |
| |
| NNVM_REGISTER_OP(_contrib_dequantize) |
| .describe(R"code(Dequantize the input tensor into a float tensor. |
| [min_range, max_range] are scalar floats that spcify the range for |
| the output data. |
| |
| Each value of the tensor will undergo the following: |
| |
| `out[i] = min_range + (in[i] * (max_range - min_range) / range(INPUT_TYPE))` |
| |
| here `range(T) = numeric_limits<T>::max() - numeric_limits<T>::min()` |
| )code" ADD_FILELINE) |
| .set_attr_parser(ParamParser<DequantizeParam>) |
| .set_num_inputs(3) |
| .set_num_outputs(1) |
| .set_attr<nnvm::FInferShape>("FInferShape", DequantizeShape) |
| .set_attr<nnvm::FInferType>("FInferType", DequantizeType) |
| .set_attr<FCompute>("FCompute<cpu>", DequantizeCompute<cpu>) |
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_dequantize"}) |
| .add_argument("input", "NDArray-or-Symbol", "A ndarray/symbol of type `uint8`") |
| .add_argument("min_range", "NDArray-or-Symbol", "The minimum scalar value " |
| "possibly produced for the input") |
| .add_argument("max_range", "NDArray-or-Symbol", "The maximum scalar value " |
| "possibly produced for the input") |
| .add_arguments(DequantizeParam::__FIELDS__()); |
| |
| } // namespace op |
| } // namespace mxnet |
