/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #ifdef MUL_OP #include "mul_op.h" namespace paddle_mobile { namespace operators { template void MulOp::InferShape() const { auto x_dims = param_.InputX()->dims(); auto y_dims = param_.InputY()->dims(); int x_num_col_dims = param_.XNumColDims(); int y_num_col_dims = param_.YNumColDims(); assert(x_dims.size() > x_num_col_dims); assert(y_dims.size() > y_num_col_dims); /// (1,2,3,4) , x_num_col_dims = 2 -> (2,12) auto x_mat_dims = framework::flatten_to_2d(x_dims, x_num_col_dims); auto y_mat_dims = framework::flatten_to_2d(y_dims, y_num_col_dims); assert(x_mat_dims[1] == y_mat_dims[0]); std::vector output_dims; output_dims.reserve( static_cast(x_num_col_dims + y_dims.size() - y_num_col_dims)); for (int i = 0; i < x_num_col_dims; ++i) { output_dims.push_back(x_dims[i]); } for (int i = y_num_col_dims; i < y_dims.size(); ++i) { output_dims.push_back(y_dims[i]); } framework::DDim ddim = framework::make_ddim(output_dims); param_.Out()->Resize(ddim); } template class MulOp; } // namespace operators } // namespace paddle_mobile namespace ops = paddle_mobile::operators; USE_OP(mul); REGISTER_OPERATOR(mul, ops::MulOp); #endif