// 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. #pragma once #include #include #include "lite/core/op_lite.h" #include "lite/core/scope.h" #include "lite/utils/all.h" namespace paddle { namespace lite { namespace operators { /* note: One Hot Operator. This operator creates the one-hot representations for input index values. The following example will help to explain the function of this operator: X is a LoDTensor: X.lod = [[0, 1, 4]] X.shape = [4, 1] X.data = [[1], [1], [3], [0]] set depth = 4 Out is a LoDTensor: Out.lod = [[0, 1, 4]] Out.shape = [4, 4] Out.data = [[0., 1., 0., 0.], [0., 1., 0., 0.], [0., 0., 0., 1.], [1., 0., 0., 0.]] */ class OneHotOp : public OpLite { public: OneHotOp() {} explicit OneHotOp(const std::string &op_type) : OpLite(op_type) {} bool CheckShape() const override; bool InferShapeImpl() const override; bool AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) override; void AttachKernel(KernelBase *kernel) override { kernel->SetParam(param_); } std::string DebugString() const override { return "one_hot"; } #ifdef LITE_WITH_PROFILE void GetOpRuntimeInfo(paddle::lite::profile::OpCharacter *ch) { ch->input_shape = ch->DimToStr(param_.X->dims()); ch->output_shape = ch->DimToStr(param_.Out->dims()); ch->macs = param_.X->numel() * 1.f; } #endif private: mutable OneHotParam param_; }; } // namespace operators } // namespace lite } // namespace paddle