Xiao Tianci
4 years ago
parent
491efd8aa4
commit
4a5e287b92
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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*/
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#include "minddata/dataset/engine/ir/datasetops/filter_node.h"
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#include <memory>
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#include <string>
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#include <vector>
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#include "minddata/dataset/engine/datasetops/filter_op.h"
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#include "minddata/dataset/util/status.h"
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namespace mindspore {
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namespace dataset {
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// Constructor for FilterNode
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FilterNode::FilterNode(std::shared_ptr<DatasetNode> child, std::function<TensorRow(TensorRow)> predicate,
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std::vector<std::string> input_columns)
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: predicate_(predicate), input_columns_(input_columns) {
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this->children.push_back(child);
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}
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std::vector<std::shared_ptr<DatasetOp>> FilterNode::Build() {
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// A vector containing shared pointer to the Dataset Ops that this object will create
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std::vector<std::shared_ptr<DatasetOp>> node_ops;
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std::shared_ptr<TensorOp> c_func;
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c_func = std::make_shared<CFuncOp>(predicate_);
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node_ops.push_back(std::make_shared<FilterOp>(input_columns_, num_workers_, connector_que_size_, c_func));
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return node_ops;
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}
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Status FilterNode::ValidateParams() {
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if (predicate_ == nullptr) {
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std::string err_msg = "FilterNode: predicate is not specified.";
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MS_LOG(ERROR) << err_msg;
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RETURN_STATUS_SYNTAX_ERROR(err_msg);
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}
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if (!input_columns_.empty()) {
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RETURN_IF_NOT_OK(ValidateDatasetColumnParam("FilterNode", "input_columns", input_columns_));
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}
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return Status::OK();
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}
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} // namespace dataset
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} // namespace mindspore
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@ -0,0 +1,53 @@
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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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*/
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#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_FILTER_NODE_H_
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#define MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_FILTER_NODE_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "minddata/dataset/engine/ir/datasetops/dataset_node.h"
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namespace mindspore {
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namespace dataset {
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class FilterNode : public DatasetNode {
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public:
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/// \brief Constructor
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FilterNode(std::shared_ptr<DatasetNode> child, std::function<TensorRow(TensorRow)> predicate,
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std::vector<std::string> input_columns = {});
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/// \brief Destructor
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~FilterNode() = default;
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/// \brief a base class override function to create the required runtime dataset op objects for this class
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/// \return The list of shared pointers to the newly created DatasetOps
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std::vector<std::shared_ptr<DatasetOp>> Build() override;
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/// \brief Parameters validation
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/// \return Status Status::OK() if all the parameters are valid
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Status ValidateParams() override;
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private:
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std::function<TensorRow(TensorRow)> predicate_;
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std::vector<std::string> input_columns_;
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};
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} // namespace dataset
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_FILTER_NODE_H_
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