// Copyright (c) 2022 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 "paddle/fluid/operators/number_count_op.h" namespace paddle { namespace operators { class NumberCountOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { OP_INOUT_CHECK(ctx->HasInput("numbers"), "Input", "numbers", "NumberCount"); OP_INOUT_CHECK( ctx->HasOutput("Out"), "Output", "number_count", "NumberCount"); } protected: phi::KernelKey GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { // the dtype of the numbers should be same as int64 auto number_dtype = OperatorWithKernel::IndicateVarDataType(ctx, "numbers"); PADDLE_ENFORCE_EQ(number_dtype, framework::proto::VarType::INT64, platform::errors::InvalidArgument( "The dtype of the number_dtype should be int64")); return phi::KernelKey(number_dtype, ctx.GetPlace()); } }; class NumberCountOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("numbers", "(Tensor) The input gate index tensor."); AddOutput("Out", "(Tensor) The output number count tensor."); AddAttr("upper_range", "(int), The number of different numbers."); AddComment(R"DOC(number_count Operator.count numbers.)DOC"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OP_WITHOUT_GRADIENT(number_count, ops::NumberCountOp, ops::NumberCountOpMaker);