/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 #include namespace paddle { namespace operators { class SoftmaxOp : public framework::OperatorWithKernel { protected: void InferShape( const std::vector &inputs, const std::vector &outputs) const override { PADDLE_ENFORCE(inputs.size() == 1, "Only one input is need for softmax"); PADDLE_ENFORCE(outputs.size() == 1, "Only one output is need for softmax"); outputs[0]->set_dims(inputs[0]->dims()); } }; class SoftmaxOpMaker : public framework::OpProtoAndCheckerMaker { public: SoftmaxOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { AddInput("X", "input of softmax"); AddOutput("Y", "output of softmax"); AddComment("Softmax Op"); } }; class SoftmaxOpGrad : public framework::OperatorWithKernel { protected: void InferShape( const std::vector &inputs, const std::vector &outputs) const override {} std::string DebugString() const override { LOG(INFO) << "SoftmaxOpGrad"; return ""; } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OP(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker); REGISTER_GRADIENT_OP(softmax, paddle::operators::SoftmaxOpGrad); REGISTER_OP_CPU_KERNEL(softmax, ops::SoftmaxKernel);