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- /**
- * Copyright 2019 Huawei Technologies Co., Ltd
- *
- * 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 "dataset/engine/datasetops/pipeline_op.h"
- #include <iomanip>
- #include <iostream>
-
- namespace mindspore {
- namespace dataset {
- // Constructor
- PipelineOp::PipelineOp(int32_t op_connector_size, std::shared_ptr<Sampler> sampler)
- : DatasetOp(op_connector_size, sampler) {}
-
- // A print method typically used for debugging
- void PipelineOp::Print(std::ostream &out, bool show_all) const {
- // Summary 1-liner print
- if (!show_all) {
- out << " [workers: ";
- if (this->inlined()) {
- out << "0 (inlined)]";
- } else {
- out << "1]"; // Pipeline ops only have 1 worker
- }
- // Call super class printer
- DatasetOp::Print(out, show_all);
- } else {
- // Detailed print
- DatasetOp::Print(out, show_all);
- out << "\nNum workers: ";
- if (this->inlined()) {
- out << "0 (inlined)";
- } else {
- out << "1"; // Pipeline ops only have 1 worker
- }
- }
- }
- } // namespace dataset
- } // namespace mindspore
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