// Copyright (c) 2019 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. #include "lite/operators/argmax_op.h" #include #include "lite/core/op_lite.h" #include "lite/core/op_registry.h" namespace paddle { namespace lite { namespace operators { bool ArgmaxOpLite::CheckShape() const { CHECK_OR_FALSE(param_.X); CHECK_OR_FALSE(param_.Out); CHECK_OR_FALSE(param_.Axis < static_cast((param_.X)->dims().size())); CHECK_OR_FALSE(param_.Axis >= static_cast(-(param_.X)->dims().size())); return true; } bool ArgmaxOpLite::InferShapeImpl() const { auto x_dims = param_.X->dims(); int x_rank = x_dims.size(); int axis = param_.Axis; if (axis < 0) { axis += x_rank; } std::vector out_dims; for (int64_t i = 0; i < axis; i++) out_dims.push_back(x_dims[i]); for (int64_t i = axis + 1; i < x_rank; i++) out_dims.push_back(x_dims[i]); // Set output dims param_.Out->Resize(lite::DDim(out_dims)); return true; } // TODO(Superjomn) replace framework::OpDesc with a lite one. bool ArgmaxOpLite::AttachImpl(const cpp::OpDesc &op_desc, lite::Scope *scope) { auto x = op_desc.Input("X").front(); auto out = op_desc.Output("Out").front(); param_.X = scope->FindVar(x)->GetMutable(); param_.Out = scope->FindVar(out)->GetMutable(); param_.Axis = op_desc.GetAttr("axis"); return true; } } // namespace operators } // namespace lite } // namespace paddle REGISTER_LITE_OP(arg_max, paddle::lite::operators::ArgmaxOpLite);