wehub-resource-sync
133 lines
4.3 KiB
C++
133 lines
4.3 KiB
C++
/* Copyright (c) 2020 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 <array>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/controlflow/while_op_helper.h"
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#include "paddle/phi/kernels/funcs/tensor_formatter.h"
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namespace phi {
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class DenseTensor;
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} // namespace phi
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namespace paddle {
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namespace framework {
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class InferShapeContext;
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class OpDesc;
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class Scope;
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class Variable;
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template <typename T>
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class EmptyGradOpMaker;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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} // namespace paddle
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// const char kCond[] = "Cond";
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std::array<const char, 5> kCond = {"Cond"};
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std::array<const char, 5> kData = {"Data"};
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std::array<const char, 10> kSummarize = {"summarize"};
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namespace paddle {
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namespace operators {
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class AssertOp : public framework::OperatorBase {
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public:
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AssertOp(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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private:
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void RunImpl(const framework::Scope &scope,
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const phi::Place &dev_place) const override {
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const framework::Variable *cond_var_ptr =
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scope.FindVar(Input(kCond.data()));
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PADDLE_ENFORCE_NOT_NULL(
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cond_var_ptr,
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common::errors::NotFound("Input(Condition) of AssertOp is not found."));
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const DenseTensor &cond = cond_var_ptr->Get<DenseTensor>();
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PADDLE_ENFORCE_EQ(
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cond.numel(),
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1,
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common::errors::InvalidArgument(
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"The numel of Input(Condition) of AssertOp must be 1. But now "
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"the Condition's shape is %s.",
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cond.dims().to_str()));
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bool cond_data = GetCondData(cond);
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if (cond_data) {
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return;
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}
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phi::funcs::TensorFormatter formatter;
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formatter.SetSummarize(Attr<int64_t>(kSummarize.data()));
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const std::vector<std::string> &x_names = Inputs(kData.data());
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for (const std::string &name : x_names) {
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const framework::Variable *x_var_ptr = scope.FindVar(name);
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const DenseTensor &x_tensor = x_var_ptr->Get<DenseTensor>();
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formatter.Print(x_tensor, name);
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}
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PADDLE_THROW(common::errors::InvalidArgument(
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"The condition variable '%s' of AssertOp must be "
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"true, but received false",
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Input(kCond.data())));
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}
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};
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class AssertOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput(
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kCond.data(),
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"The boolean scalar condition tensor which is asserted to be true.");
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AddInput(kData.data(),
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"The tensors to print when the assert condition is not true.")
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.AsDuplicable();
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AddAttr<int64_t>(
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kSummarize.data(),
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"The number of entries of each tensor to print when the "
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"assert condition is not true. -1 means print all entries. If "
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"the number of entries of a tensor is less then "
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"summarize_num, this OP will print all entries of the tensor.")
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.SetDefault(-1);
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AddComment(
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R"DOC(Assert the input Condition Tensor is true and print Tensors if the Condition Tensor is false.)DOC");
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}
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};
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class AssertOpInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *context) const override {
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OP_INOUT_CHECK(
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context->HasInputs(kCond.data()), "Input", "Condition", "AssertOp");
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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(
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assert,
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ops::AssertOp,
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ops::AssertOpProtoMaker,
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ops::AssertOpInferShape,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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