fix codedex + add docstring

mindspore/ccsrc/minddata/dataset/api/iterator.cc

@@ -84,7 +84,7 @@ Status Iterator::BuildAndLaunchTree(std::shared_ptr<Dataset> ds, int32_t num_epo
 
 PullIterator::PullIterator() : pull_consumer_(nullptr) {}
 // Get the next row from the data pipeline.
-Status PullIterator::GetRows(int32_t num_rows, std::vector<MSTensorVec> *row) {
+Status PullIterator::GetRows(int32_t num_rows, std::vector<MSTensorVec> *const row) {
   for (int i = 0; i < num_rows; i++) {
     std::vector<std::shared_ptr<dataset::Tensor>> md_row;
     Status rc = pull_consumer_->GetNextAsVector(&md_row);
@@ -105,7 +105,7 @@ Status PullIterator::GetRows(int32_t num_rows, std::vector<MSTensorVec> *row) {
   return Status::OK();
 }
 
-Status PullIterator::GetNextRow(MSTensorVec *row) {
+Status PullIterator::GetNextRow(MSTensorVec *const row) {
   CHECK_FAIL_RETURN_UNEXPECTED(pull_consumer_ != nullptr, "Consumer is nullptr.");
   std::vector<std::shared_ptr<dataset::Tensor>> md_row;
   Status rc = pull_consumer_->GetNextAsVector(&md_row);

mindspore/ccsrc/minddata/dataset/engine/consumers/pull_based_tree_consumer.cc

@@ -40,7 +40,7 @@ std::vector<TensorRow> PullBasedIteratorConsumer::GetRows(int64_t num_rows) {
   return rows;
 }
 
-Status PullBasedIteratorConsumer::GetNextAsVector(std::vector<TensorPtr> *out) {
+Status PullBasedIteratorConsumer::GetNextAsVector(std::vector<TensorPtr> *const out) {
   RETURN_UNEXPECTED_IF_NULL(out);
   out->clear();
 

mindspore/ccsrc/minddata/dataset/engine/consumers/pull_based_tree_consumer.h

@@ -49,7 +49,7 @@ class PullBasedIteratorConsumer {
   /// Returns the next row in a vector format
   /// \param[out] out std::vector of Tensors
   /// \return Status error code
-  Status GetNextAsVector(std::vector<TensorPtr> *out);
+  Status GetNextAsVector(std::vector<TensorPtr> *const out);
 
   /// Returns the next row in as a map
   /// \param[out] out std::map of string to Tensor

mindspore/ccsrc/minddata/dataset/engine/datasetops/batch_op.cc

@@ -566,7 +566,7 @@ int64_t BatchOp::GetTreeBatchSize() {
   return start_batch_size_;
 }
 
-Status BatchOp::GetNextRowPullMode(TensorRow *row) {
+Status BatchOp::GetNextRowPullMode(TensorRow *const row) {
   std::unique_ptr<TensorQTable> table = std::make_unique<TensorQTable>();
   child_iterator_ = std::make_unique<ChildIterator>(this, 0, 0);
   int32_t cur_batch_size = 0;

mindspore/ccsrc/minddata/dataset/engine/datasetops/batch_op.h

@@ -256,7 +256,10 @@ class BatchOp : public ParallelOp {
   // @return Status The status code returned
   Status LaunchThreadsAndInitOp();
 
-  Status GetNextRowPullMode(TensorRow *row) override;
+  /// \brief Gets the next row
+  /// \param row[out] - Fetched TensorRow
+  /// \return Status The status code returned
+  Status GetNextRowPullMode(TensorRow *const row) override;
 
 #ifdef ENABLE_PYTHON
   // Invoke batch size function with current BatchInfo to generate batch size.

mindspore/ccsrc/minddata/dataset/engine/datasetops/dataset_op.cc

@@ -252,7 +252,7 @@ void DatasetOp::Print(std::ostream &out, bool show_all) const {
   }
 }
 
-Status DatasetOp::GetNextRowPullMode(TensorRow *row) {
+Status DatasetOp::GetNextRowPullMode(TensorRow *const row) {
   RETURN_UNEXPECTED_IF_NULL(child_[0]);
   return child_[0]->GetNextRowPullMode(row);
 }

mindspore/ccsrc/minddata/dataset/engine/datasetops/dataset_op.h

@@ -127,7 +127,10 @@ class DatasetOp : public std::enable_shared_from_this<DatasetOp> {
   /// \param show_all - A bool to control if you want to show all info or just a summary
   virtual void Print(std::ostream &out, bool show_all) const;
 
-  virtual Status GetNextRowPullMode(TensorRow *row);
+  /// \brief Gets the next row
+  /// \param row[out] - Fetched TensorRow
+  /// \return Status The status code returned
+  virtual Status GetNextRowPullMode(TensorRow *const row);
 
   /// \brief << Stream output operator overload
   /// \notes This allows you to write the debug print info using stream operators

mindspore/ccsrc/minddata/dataset/engine/datasetops/project_op.cc

@@ -145,7 +145,7 @@ Status ProjectOp::ComputeColMap() {
   return Status::OK();
 }
 
-Status ProjectOp::GetNextRowPullMode(TensorRow *row) {
+Status ProjectOp::GetNextRowPullMode(TensorRow *const row) {
   ComputeColMap();
   TensorRow new_row;
   RETURN_IF_NOT_OK(child_[0]->GetNextRowPullMode(&new_row));

mindspore/ccsrc/minddata/dataset/engine/datasetops/project_op.h

@@ -101,7 +101,10 @@ class ProjectOp : public PipelineOp {
   // @return Status The status code returned
   Status EofReceived(int32_t worker_id) override;
 
-  Status GetNextRowPullMode(TensorRow *row) override;
+  /// \brief Gets the next row
+  /// \param row[out] - Fetched TensorRow
+  /// \return Status The status code returned
+  Status GetNextRowPullMode(TensorRow *const row) override;
 
   // Op name getter
   // @return Name of the current Op

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/album_op.cc

@@ -483,7 +483,7 @@ Status AlbumOp::ComputeColMap() {
   return Status::OK();
 }
 
-Status AlbumOp::GetNextRowPullMode(TensorRow *row) {
+Status AlbumOp::GetNextRowPullMode(TensorRow *const row) {
   if (image_rows_.empty()) PrescanEntry();
   if (sample_ids_ == nullptr) {
     RETURN_IF_NOT_OK(this->InitSampler());

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/album_op.h

@@ -257,7 +257,10 @@ class AlbumOp : public MappableLeafOp {
   /// \return Status The status code returned
   Status LaunchThreadsAndInitOp() override;
 
-  Status GetNextRowPullMode(TensorRow *row) override;
+  /// \brief Gets the next row
+  /// \param row[out] - Fetched TensorRow
+  /// \return Status The status code returned
+  Status GetNextRowPullMode(TensorRow *const row) override;
 
   /// Private function for computing the assignment of the column name map.
   /// \return Status The status code returned

mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc

@@ -54,7 +54,7 @@ Status TreeAdapterLite::BuildTree(std::shared_ptr<DatasetNode> root_ir) {
   return Status::OK();
 }
 
-Status TreeAdapterLite::GetNextRow(TensorRow *row) {
+Status TreeAdapterLite::GetNextRow(TensorRow *const row) {
   RETURN_UNEXPECTED_IF_NULL(root_);
   RETURN_IF_NOT_OK(root_->GetNextRowPullMode(row));
   return Status::OK();

mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.h

@@ -40,7 +40,7 @@ class TreeAdapterLite {
   Status BuildTree(std::shared_ptr<DatasetNode> root_ir);
 
   // Get rows equal to num_rows
-  Status GetNextRow(TensorRow *row);
+  Status GetNextRow(TensorRow *const row);
 
   std::unordered_map<std::string, int32_t> GetColumnNameMap() const { return tree_->root()->column_name_id_map(); }
 

mindspore/ccsrc/minddata/dataset/include/iterator.h

@@ -137,11 +137,14 @@ class PullIterator : public Iterator {
   /// \brief Constructor
   PullIterator();
 
+  /// \brief Destructor
+  ~PullIterator() = default;
+
   /// \brief Function to get next row from the data pipeline.
   /// \note Type of return data is a vector(without column name).
   /// \param[out] row - the output tensor row.
   /// \return Returns true if no error encountered else false.
-  Status GetNextRow(MSTensorVec *row) override;
+  Status GetNextRow(MSTensorVec *const row) override;
 
   /// \brief Function to get specified rows from the data pipeline.
   /// \note Type of return data is a vector(without column name).
@@ -149,7 +152,7 @@ class PullIterator : public Iterator {
   /// \param[in] num_rows - the number of rows to fetch.
   /// \param[out] row - the output tensor row.
   /// \return Returns true if no error encountered else false.
-  Status GetRows(int32_t num_rows, std::vector<MSTensorVec> *row);
+  Status GetRows(int32_t num_rows, std::vector<MSTensorVec> *const row);
 
   /// \brief Method for building and launching the pipeline.
   /// \note Consider making this function protected.