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76 lines
2.7 KiB
76 lines
2.7 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/framework/lod_tensor_array.h"
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#include "paddle/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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class LoDArrayLengthOp : public framework::OperatorBase {
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public:
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LoDArrayLengthOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void Run(const framework::Scope &scope,
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const platform::DeviceContext &dev_ctx) const override {
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auto &x = scope.FindVar(Input("X"))->Get<framework::LoDTensorArray>();
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auto &out =
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*scope.FindVar(Output("Out"))->GetMutable<framework::LoDTensor>();
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out.Resize({1});
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auto cpu = platform::CPUPlace();
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*out.mutable_data<int64_t>(cpu) = static_cast<int64_t>(x.size());
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}
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};
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class LoDArrayLengthProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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LoDArrayLengthProtoMaker(framework::OpProto *proto,
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framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(LoDTensorArray) The input tensor array.");
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AddOutput("Out", "(Tensor) 1x1 CPU Tensor of length, int64_t");
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AddComment(R"DOC(
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LoDArrayLength Operator.
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This operator obtains the length of lod tensor array:
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$$Out = len(X)$$
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NOTE: The output is a CPU Tensor since the control variable should be only in
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CPU and the length of LoDTensorArray should be used as control variables.
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)DOC");
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}
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};
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class LoDArrayLengthInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *context) const override {
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PADDLE_ENFORCE(context->HasInput("X"));
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PADDLE_ENFORCE(context->HasOutput("Out"));
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context->SetOutputDim("Out", {1});
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(lod_array_length, ops::LoDArrayLengthOp,
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ops::LoDArrayLengthInferShape, ops::LoDArrayLengthProtoMaker,
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paddle::framework::EmptyGradOpMaker);
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