| /*! |
| * Copyright (c) 2015 by Contributors |
| * \file convolution_v1.cc |
| * \brief |
| * \author Bing Xu |
| */ |
| |
| #include "./convolution_v1-inl.h" |
| #if MXNET_USE_MKL2017 == 1 |
| #include <mkl_memory.h> |
| #include "./mkl/mkl_memory-inl.h" |
| #include "./mkl/mkl_convolution-inl.h" |
| #endif // MXNET_USE_MKL2017 |
| #if MXNET_USE_NNPACK == 1 |
| #include "./nnpack/nnpack_convolution-inl.h" |
| #endif // MXNET_USE_NNPACK |
| |
| namespace mxnet { |
| namespace op { |
| DMLC_REGISTER_PARAMETER(ConvolutionV1Param); |
| |
| template<> |
| Operator* CreateOp<cpu>(ConvolutionV1Param param, int dtype, |
| std::vector<TShape> *in_shape, |
| std::vector<TShape> *out_shape, |
| Context ctx) { |
| Operator *op = NULL; |
| MSHADOW_REAL_TYPE_SWITCH(dtype, DType, { |
| op = new ConvolutionV1Op<cpu, DType>(param); |
| }) |
| return op; |
| } |
| |
| // DO_BIND_DISPATCH comes from operator_common.h |
| Operator *ConvolutionV1Prop::CreateOperatorEx(Context ctx, |
| std::vector<TShape> *in_shape, |
| std::vector<int> *in_type) const { |
| std::vector<TShape> out_shape, aux_shape; |
| std::vector<int> out_type, aux_type; |
| CHECK(InferType(in_type, &out_type, &aux_type)); |
| CHECK(InferShape(in_shape, &out_shape, &aux_shape)); |
| DO_BIND_DISPATCH(CreateOp, param_, (*in_type)[0], in_shape, &out_shape, ctx); |
| } |
| |
| MXNET_REGISTER_OP_PROPERTY(Convolution_v1, ConvolutionV1Prop) |
| .add_argument("data", "NDArray-or-Symbol", "Input data to the ConvolutionV1Op.") |
| .add_argument("weight", "NDArray-or-Symbol", "Weight matrix.") |
| .add_argument("bias", "NDArray-or-Symbol", "Bias parameter.") |
| .add_arguments(ConvolutionV1Param::__FIELDS__()) |
| .describe("This operator is DEPRECATED." |
| " Apply convolution to input then add a bias."); |
| |
| } // namespace op |
| } // namespace mxnet |