Enable cache for other leaf ops

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

@@ -1075,7 +1075,7 @@ std::vector<std::shared_ptr<DatasetOp>> CLUEDataset::Build() {
 
   std::shared_ptr<ClueOp> clue_op =
     std::make_shared<ClueOp>(num_workers_, rows_per_buffer_, num_samples_, worker_connector_size_, ck_map,
-                             sorted_dataset_files, connector_que_size_, shuffle_files, num_shards_, shard_id_);
+                             sorted_dataset_files, connector_que_size_, shuffle_files, num_shards_, shard_id_, nullptr);
   RETURN_EMPTY_IF_ERROR(clue_op->Init());
   if (shuffle_ == ShuffleMode::kGlobal) {
     // Inject ShuffleOp
@@ -1256,7 +1256,7 @@ std::vector<std::shared_ptr<DatasetOp>> CSVDataset::Build() {
 
   std::shared_ptr<CsvOp> csv_op = std::make_shared<CsvOp>(
     sorted_dataset_files, field_delim_, column_default_list, column_names_, num_workers_, rows_per_buffer_,
-    num_samples_, worker_connector_size_, connector_que_size_, shuffle_files, num_shards_, shard_id_);
+    num_samples_, worker_connector_size_, connector_que_size_, shuffle_files, num_shards_, shard_id_, nullptr);
   RETURN_EMPTY_IF_ERROR(csv_op->Init());
   if (shuffle_ == ShuffleMode::kGlobal) {
     // Inject ShuffleOp
@@ -1502,7 +1502,7 @@ std::vector<std::shared_ptr<DatasetOp>> TextFileDataset::Build() {
   // Create and initalize TextFileOp
   std::shared_ptr<TextFileOp> text_file_op = std::make_shared<TextFileOp>(
     num_workers_, rows_per_buffer_, num_samples_, worker_connector_size_, std::move(schema), sorted_dataset_files,
-    connector_que_size_, shuffle_files, num_shards_, shard_id_, std::move(nullptr));
+    connector_que_size_, shuffle_files, num_shards_, shard_id_, nullptr);
   RETURN_EMPTY_IF_ERROR(text_file_op->Init());
 
   if (shuffle_ == ShuffleMode::kGlobal) {

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

@@ -70,13 +70,12 @@ Status AlbumOp::Builder::SanityCheck() {
 AlbumOp::AlbumOp(int32_t num_wkrs, int32_t rows_per_buffer, std::string file_dir, int32_t queue_size, bool do_decode,
                  const std::set<std::string> &exts, std::unique_ptr<DataSchema> data_schema,
                  std::shared_ptr<Sampler> sampler)
-    : ParallelOp(num_wkrs, queue_size),
+    : ParallelOp(num_wkrs, queue_size, std::move(sampler)),
       rows_per_buffer_(rows_per_buffer),
       folder_path_(file_dir),
       decode_(do_decode),
       extensions_(exts),
       data_schema_(std::move(data_schema)),
-      sampler_(std::move(sampler)),
       row_cnt_(0),
       buf_cnt_(0),
       sampler_ind_(0),

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

@@ -284,7 +284,6 @@ class AlbumOp : public ParallelOp, public RandomAccessOp {
   std::set<std::string> extensions_;  // extensions allowed
   std::unordered_map<std::string, int32_t> col_name_map_;
   std::unique_ptr<DataSchema> data_schema_;
-  std::shared_ptr<Sampler> sampler_;
   int64_t row_cnt_;
   int64_t buf_cnt_;
   int64_t sampler_ind_;

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

@@ -25,13 +25,18 @@
 #include "minddata/dataset/util/task_manager.h"
 #include "minddata/dataset/engine/jagged_connector.h"
 #include "minddata/dataset/engine/execution_tree.h"
+#include "minddata/dataset/engine/opt/pass.h"
 #include "minddata/dataset/engine/datasetops/source/io_block.h"
 #include "minddata/dataset/util/random.h"
 
 namespace mindspore {
 namespace dataset {
 ClueOp::Builder::Builder()
-    : builder_device_id_(0), builder_num_devices_(1), builder_num_samples_(0), builder_shuffle_files_(false) {
+    : builder_device_id_(0),
+      builder_num_devices_(1),
+      builder_num_samples_(0),
+      builder_shuffle_files_(false),
+      builder_sampler_(nullptr) {
   std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager();
   builder_num_workers_ = config_manager->num_parallel_workers();
   builder_op_connector_size_ = config_manager->op_connector_size();
@@ -68,7 +73,7 @@ Status ClueOp::Builder::Build(std::shared_ptr<ClueOp> *op) {
   std::shared_ptr<ClueOp> clue_op = std::make_shared<ClueOp>(
     builder_num_workers_, builder_rows_per_buffer_, builder_num_samples_, builder_worker_connector_size_, ck_map,
     builder_clue_files_list_, builder_op_connector_size_, builder_shuffle_files_, builder_num_devices_,
-    builder_device_id_);
+    builder_device_id_, std::move(builder_sampler_));
   RETURN_IF_NOT_OK(clue_op->Init());
   *op = std::move(clue_op);
 
@@ -88,8 +93,8 @@ std::vector<std::string> ClueOp::Builder::split(const std::string &s, char delim
 
 ClueOp::ClueOp(int32_t num_workers, int64_t rows_per_buffer, int64_t num_samples, int32_t worker_connector_size,
                ColKeyMap cols_to_keyword, std::vector<std::string> clue_files_list, int32_t op_connector_size,
-               bool shuffle_files, int32_t num_device, int32_t device_id)
+               bool shuffle_files, int32_t num_device, int32_t device_id, std::shared_ptr<Sampler> sampler)
-    : ParallelOp(num_workers, op_connector_size),
+    : ParallelOp(num_workers, op_connector_size, std::move(sampler)),
       rows_per_buffer_(rows_per_buffer),
       num_rows_per_shard_(0),
       all_num_rows_(0),
@@ -539,5 +544,21 @@ Status ClueOp::ComputeColMap() {
   }
   return Status::OK();
 }
+
+// Brief If a cache has been added into the ascendant tree over this clue op, then the cache will be executing
+// a sampler for fetching the data.  As such, any options in the clue op need to be reset to its defaults so
+// that this clue op will produce the full set of data into the cache.
+void ClueOp::MakeSimpleProducer() {
+  device_id_ = 0;
+  num_devices_ = 1;
+  shuffle_files_ = false;
+  num_samples_ = 0;
+}
+
+// Visitor accept method for NodePass
+Status ClueOp::Accept(NodePass *p, bool *modified) {
+  // Downcast shared pointer then call visitor
+  return p->RunOnNode(shared_from_base<ClueOp>(), modified);
+}
 }  // namespace dataset
 }  // namespace mindspore

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

@@ -20,6 +20,7 @@
 #include <map>
 #include <mutex>
 #include <string>
+#include <utility>
 #include <vector>
 #include <nlohmann/json.hpp>
 
@@ -122,6 +123,14 @@ class ClueOp : public ParallelOp {
     // @return - the a string vector
     std::vector<std::string> split(const std::string &s, char delim);
 
+    // Setter method
+    // @param std::shared_ptr<Sampler> sampler
+    // @return Builder setter method returns reference to the builder.
+    Builder &SetSampler(std::shared_ptr<Sampler> sampler) {
+      builder_sampler_ = std::move(sampler);
+      return *this;
+    }
+
    private:
     int32_t builder_device_id_;
     int32_t builder_num_devices_;
@@ -133,12 +142,13 @@ class ClueOp : public ParallelOp {
     std::vector<std::string> builder_clue_files_list_;
     bool builder_shuffle_files_;
     std::map<std::string, std::string> builder_cols_to_keyword_;
+    std::shared_ptr<Sampler> builder_sampler_;
   };
 
   // Constructor of ClueOp
   ClueOp(int32_t num_workers, int64_t rows_per_buffer, int64_t num_samples, int32_t worker_connector_size,
          ColKeyMap cols_to_keyword, std::vector<std::string> clue_files_list, int32_t op_connector_size,
-         bool shuffle_files, int32_t num_devices, int32_t device_id);
+         bool shuffle_files, int32_t num_devices, int32_t device_id, std::shared_ptr<Sampler> sampler);
 
   // Default destructor
   ~ClueOp() = default;
@@ -173,6 +183,17 @@ class ClueOp : public ParallelOp {
   // @return Vector of the input file names
   std::vector<std::string> FileNames() { return clue_files_list_; }
 
+  /// \Brief If a cache has been added into the ascendant tree over this clue op, then the cache will be executing
+  ///     a sampler for fetching the data.  As such, any options in the clue op need to be reset to its defaults so
+  ///     that this clue op will produce the full set of data into the cache.
+  void MakeSimpleProducer();
+
+  // Base-class override for NodePass visitor acceptor.
+  // @param p - Pointer to the NodePass to be accepted.
+  // @param modified - Whether this node visit modified the pipeline.
+  // @return - Status of the node visit.
+  Status Accept(NodePass *p, bool *modified) override;
+
  private:
   // The entry point for when workers are launched.
   // @param worker_id - the id of the worker that is executing this function.

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

@@ -124,7 +124,7 @@ Status CocoOp::Builder::SanityCheck() {
 CocoOp::CocoOp(const TaskType &task_type, const std::string &image_folder_path, const std::string &annotation_path,
                int32_t num_workers, int32_t rows_per_buffer, int32_t queue_size, bool decode,
                std::unique_ptr<DataSchema> data_schema, std::shared_ptr<Sampler> sampler)
-    : ParallelOp(num_workers, queue_size),
+    : ParallelOp(num_workers, queue_size, std::move(sampler)),
       decode_(decode),
       row_cnt_(0),
       buf_cnt_(0),
@@ -132,7 +132,6 @@ CocoOp::CocoOp(const TaskType &task_type, const std::string &image_folder_path,
       image_folder_path_(image_folder_path),
       annotation_path_(annotation_path),
       rows_per_buffer_(rows_per_buffer),
-      sampler_(std::move(sampler)),
       data_schema_(std::move(data_schema)) {
   io_block_queues_.Init(num_workers_, queue_size);
 }

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

@@ -206,6 +206,10 @@ class CocoOp : public ParallelOp, public RandomAccessOp {
   /// \return Status of the node visit
   Status Accept(NodePass *p, bool *modified) override;
 
+  // Op name getter
+  // @return Name of the current Op
+  std::string Name() const override { return "CocoOp"; }
+
  private:
   // Initialize Sampler, calls sampler->Init() within
   // @return Status - The error code return
@@ -324,7 +328,6 @@ class CocoOp : public ParallelOp, public RandomAccessOp {
   std::string annotation_path_;
   TaskType task_type_;
   int32_t rows_per_buffer_;
-  std::shared_ptr<Sampler> sampler_;
   std::unique_ptr<DataSchema> data_schema_;
 
   WaitPost wp_;

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

@@ -22,12 +22,17 @@
 #include "minddata/dataset/core/config_manager.h"
 #include "minddata/dataset/engine/jagged_connector.h"
 #include "minddata/dataset/engine/execution_tree.h"
+#include "minddata/dataset/engine/opt/pass.h"
 #include "minddata/dataset/util/random.h"
 
 namespace mindspore {
 namespace dataset {
 CsvOp::Builder::Builder()
-    : builder_device_id_(0), builder_num_devices_(1), builder_num_samples_(0), builder_shuffle_files_(false) {
+    : builder_device_id_(0),
+      builder_num_devices_(1),
+      builder_num_samples_(0),
+      builder_shuffle_files_(false),
+      builder_sampler_(nullptr) {
   std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager();
   builder_num_workers_ = config_manager->num_parallel_workers();
   builder_op_connector_size_ = config_manager->op_connector_size();
@@ -59,7 +64,8 @@ Status CsvOp::Builder::Build(std::shared_ptr<CsvOp> *op) {
   std::shared_ptr<CsvOp> csv_op = std::make_shared<CsvOp>(
     builder_csv_files_list_, builder_field_delim_, builder_column_default_list_, builder_column_name_list_,
     builder_num_workers_, builder_rows_per_buffer_, builder_num_samples_, builder_worker_connector_size_,
-    builder_op_connector_size_, builder_shuffle_files_, builder_num_devices_, builder_device_id_);
+    builder_op_connector_size_, builder_shuffle_files_, builder_num_devices_, builder_device_id_,
+    std::move(builder_sampler_));
   RETURN_IF_NOT_OK(csv_op->Init());
   *op = std::move(csv_op);
 
@@ -70,8 +76,8 @@ CsvOp::CsvOp(const std::vector<std::string> &csv_files_list, char field_delim,
              const std::vector<std::shared_ptr<BaseRecord>> &column_default,
              const std::vector<std::string> &column_name, int32_t num_workers, int64_t rows_per_buffer,
              int64_t num_samples, int32_t worker_connector_size, int32_t op_connector_size, bool shuffle_files,
-             int32_t num_device, int32_t device_id)
+             int32_t num_device, int32_t device_id, std::shared_ptr<Sampler> sampler)
-    : ParallelOp(num_workers, op_connector_size),
+    : ParallelOp(num_workers, op_connector_size, std::move(sampler)),
       csv_files_list_(std::move(csv_files_list)),
       field_delim_(field_delim),
       column_default_list_(column_default),
@@ -889,5 +895,21 @@ Status CsvOp::ComputeColMap() {
   }
   return Status::OK();
 }
+
+// Brief If a cache has been added into the ascendant tree over this csv op, then the cache will be executing
+// a sampler for fetching the data.  As such, any options in the csv op need to be reset to its defaults so
+// that this csv op will produce the full set of data into the cache.
+void CsvOp::MakeSimpleProducer() {
+  device_id_ = 0;
+  num_devices_ = 1;
+  shuffle_files_ = false;
+  num_samples_ = 0;
+}
+
+// Visitor accept method for NodePass
+Status CsvOp::Accept(NodePass *p, bool *modified) {
+  // Downcast shared pointer then call visitor
+  return p->RunOnNode(shared_from_base<CsvOp>(), modified);
+}
 }  // namespace dataset
 }  // namespace mindspore

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

@@ -240,6 +240,14 @@ class CsvOp : public ParallelOp {
       return *this;
     }
 
+    // Setter method
+    // @param std::shared_ptr<Sampler> sampler
+    // @return Builder setter method returns reference to the builder.
+    Builder &SetSampler(std::shared_ptr<Sampler> sampler) {
+      builder_sampler_ = std::move(sampler);
+      return *this;
+    }
+
    private:
     int32_t builder_device_id_;
     int32_t builder_num_devices_;
@@ -253,6 +261,7 @@ class CsvOp : public ParallelOp {
     char builder_field_delim_;
     std::vector<std::shared_ptr<CsvOp::BaseRecord>> builder_column_default_list_;
     std::vector<std::string> builder_column_name_list_;
+    std::shared_ptr<Sampler> builder_sampler_;
   };
 
   // Constructor of CsvOp
@@ -261,7 +270,8 @@ class CsvOp : public ParallelOp {
   CsvOp(const std::vector<std::string> &csv_files_list, char field_delim,
         const std::vector<std::shared_ptr<BaseRecord>> &column_default, const std::vector<std::string> &column_name,
         int32_t num_workers, int64_t rows_per_buffer, int64_t num_samples, int32_t worker_connector_size,
-        int32_t op_connector_size, bool shuffle_files, int32_t num_devices, int32_t device_id);
+        int32_t op_connector_size, bool shuffle_files, int32_t num_devices, int32_t device_id,
+        std::shared_ptr<Sampler> sampler);
 
   // Default destructor
   ~CsvOp() = default;
@@ -297,6 +307,17 @@ class CsvOp : public ParallelOp {
   // @return Vector of the input file names
   std::vector<std::string> FileNames() { return csv_files_list_; }
 
+  /// \Brief If a cache has been added into the ascendant tree over this csv op, then the cache will be executing
+  ///     a sampler for fetching the data.  As such, any options in the csv op need to be reset to its defaults so
+  ///     that this csv op will produce the full set of data into the cache.
+  void MakeSimpleProducer();
+
+  // Base-class override for NodePass visitor acceptor.
+  // @param p - Pointer to the NodePass to be accepted.
+  // @param modified - Whether this node visit modified the pipeline.
+  // @return - Status of the node visit.
+  Status Accept(NodePass *p, bool *modified) override;
+
  private:
   // The entry point for when workers are launched.
   // @param worker_id - the id of the worker that is executing this function.

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

@@ -29,6 +29,7 @@
 #include "minddata/dataset/util/random.h"
 #include "minddata/dataset/engine/datasetops/source/io_block.h"
 #include "minddata/dataset/engine/execution_tree.h"
+#include "minddata/dataset/engine/opt/pass.h"
 
 namespace mindspore {
 namespace dataset {
@@ -499,5 +500,21 @@ Status TextFileOp::ComputeColMap() {
   }
   return Status::OK();
 }
+
+// Brief If a cache has been added into the ascendant tree over this text file op, then the cache will be executing
+// a sampler for fetching the data.  As such, any options in the text file op need to be reset to its defaults so
+// that this text file op will produce the full set of data into the cache.
+void TextFileOp::MakeSimpleProducer() {
+  device_id_ = 0;
+  num_devices_ = 1;
+  shuffle_files_ = false;
+  total_rows_ = 0;
+}
+
+// Visitor accept method for NodePass
+Status TextFileOp::Accept(NodePass *p, bool *modified) {
+  // Downcast shared pointer then call visitor
+  return p->RunOnNode(shared_from_base<TextFileOp>(), modified);
+}
 }  // namespace dataset
 }  // namespace mindspore

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

@@ -188,6 +188,17 @@ class TextFileOp : public ParallelOp {
   // @return Vector of the input file names
   std::vector<std::string> FileNames() { return text_files_list_; }
 
+  /// \Brief If a cache has been added into the ascendant tree over this text file op, then the cache will be executing
+  ///     a sampler for fetching the data.  As such, any options in the text file op need to be reset to its defaults so
+  ///     that this text file op will produce the full set of data into the cache.
+  void MakeSimpleProducer();
+
+  // Base-class override for NodePass visitor acceptor.
+  // @param p - Pointer to the NodePass to be accepted.
+  // @param modified - Whether this node visit modified the pipeline.
+  // @return - Status of the node visit.
+  Status Accept(NodePass *p, bool *modified) override;
+
  private:
   // The entry point for when workers are launched.
   // @param worker_id - the id of the worker that is executing this function.

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

@@ -212,6 +212,7 @@ Status VOCOp::LoadTensorRow(row_id_type row_id, const std::string &image_id, Ten
       folder_path_ + std::string(kAnnotationsFolder) + image_id + std::string(kAnnotationExtension);
     RETURN_IF_NOT_OK(ReadImageToTensor(kImageFile, data_schema_->column(0), &image));
     RETURN_IF_NOT_OK(ReadAnnotationToTensor(kAnnotationFile, &annotation));
+    trow->setId(row_id);
     trow->push_back(std::move(image));
     trow->insert(trow->end(), annotation.begin(), annotation.end());
   }

mindspore/ccsrc/minddata/dataset/engine/opt/pass.cc

@@ -45,6 +45,9 @@
 #include "minddata/dataset/engine/datasetops/source/random_data_op.h"
 #ifndef ENABLE_ANDROID
 #include "minddata/dataset/engine/datasetops/source/tf_reader_op.h"
+#include "minddata/dataset/engine/datasetops/source/clue_op.h"
+#include "minddata/dataset/engine/datasetops/source/csv_op.h"
+#include "minddata/dataset/engine/datasetops/source/text_file_op.h"
 #endif
 #include "minddata/dataset/engine/datasetops/source/voc_op.h"
 #ifdef ENABLE_PYTHON
@@ -260,6 +263,21 @@ Status NodePass::RunOnNode(std::shared_ptr<CacheLookupOp> node, bool *modified)
   return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
 }
 
+Status NodePass::RunOnNode(std::shared_ptr<ClueOp> node, bool *modified) {
+  // Fallback to base class visitor by default
+  return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
+}
+
+Status NodePass::RunOnNode(std::shared_ptr<CsvOp> node, bool *modified) {
+  // Fallback to base class visitor by default
+  return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
+}
+
+Status NodePass::RunOnNode(std::shared_ptr<TextFileOp> node, bool *modified) {
+  // Fallback to base class visitor by default
+  return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
+}
+
 Status NodePass::PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified) {
   // Fallback to base class visitor by default
   return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);

mindspore/ccsrc/minddata/dataset/engine/opt/pass.h

@@ -81,6 +81,12 @@ class CacheMergeOp;
 class CacheLookupOp;
 
 class BuildSentencePieceVocabOp;
+
+class ClueOp;
+
+class CsvOp;
+
+class TextFileOp;
 #endif
 
 #ifdef ENABLE_PYTHON
@@ -211,6 +217,12 @@ class NodePass : public Pass {
 
   virtual Status RunOnNode(std::shared_ptr<CacheOp> node, bool *modified);
 
+  virtual Status RunOnNode(std::shared_ptr<ClueOp> node, bool *modified);
+
+  virtual Status RunOnNode(std::shared_ptr<CsvOp> node, bool *modified);
+
+  virtual Status RunOnNode(std::shared_ptr<TextFileOp> node, bool *modified);
+
   virtual Status PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified);
 
   virtual Status PreRunOnNode(std::shared_ptr<CacheMergeOp> node, bool *modified);

mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc

@@ -36,6 +36,9 @@
 
 #ifndef ENABLE_ANDROID
 #include "minddata/dataset/engine/datasetops/source/tf_reader_op.h"
+#include "minddata/dataset/engine/datasetops/source/clue_op.h"
+#include "minddata/dataset/engine/datasetops/source/csv_op.h"
+#include "minddata/dataset/engine/datasetops/source/text_file_op.h"
 #endif
 
 #ifdef ENABLE_PYTHON
@@ -141,6 +144,36 @@ Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<TFReaderOp> node
   }
   return NonMappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
 }
+
+// Perform leaf node cache transform identification
+Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<ClueOp> node, bool *modified) {
+  if (is_caching_) {
+    // If we are a ClueOp in a caching tree, then change our config so that it becomes a basic
+    // ClueOp that parses all files.  Selection of data will come from the sampler on the cache instead.
+    node->MakeSimpleProducer();
+  }
+  return NonMappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
+}
+
+// Perform leaf node cache transform identification
+Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<CsvOp> node, bool *modified) {
+  if (is_caching_) {
+    // If we are a CsvOp in a caching tree, then change our config so that it becomes a basic
+    // CsvOp that parses all files.  Selection of data will come from the sampler on the cache instead.
+    node->MakeSimpleProducer();
+  }
+  return NonMappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
+}
+
+// Perform leaf node cache transform identification
+Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<TextFileOp> node, bool *modified) {
+  if (is_caching_) {
+    // If we are a TextFileOp in a caching tree, then change our config so that it becomes a basic
+    // TextFileOp that parses all files.  Selection of data will come from the sampler on the cache instead.
+    node->MakeSimpleProducer();
+  }
+  return NonMappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
+}
 #endif
 
 // Perform leaf node cache transform identification
@@ -163,34 +196,22 @@ Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<AlbumOp> node, b
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<MnistOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for MnistOp under cache.");
-  }
-  return Status::OK();
 }
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<CifarOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for CifarOp under cache.");
-  }
-  return Status::OK();
 }
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<CocoOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for CocoOp under cache.");
-  }
-  return Status::OK();
 }
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<CelebAOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for CelebAOp under cache.");
-  }
-  return Status::OK();
 }
 
 #ifndef ENABLE_ANDROID
@@ -214,18 +235,12 @@ Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<GeneratorOp> nod
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<ManifestOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for ManifestOp under cache.");
-  }
-  return Status::OK();
 }
 
 // Perform leaf node cache transform identification
 Status CacheTransformPass::CachePass::RunOnNode(std::shared_ptr<VOCOp> node, bool *modified) {
-  if (is_caching_) {
+  return MappableCacheLeafSetup(std::static_pointer_cast<DatasetOp>(node));
-    RETURN_STATUS_UNEXPECTED("There is currently no support for VOCOp under cache.");
-  }
-  return Status::OK();
 }
 #endif
 

mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.h

@@ -65,6 +65,24 @@ class CacheTransformPass : public TreePass {
     /// \param[inout] modified Indicator if the node was changed at all
     /// \return Status The error code return
     Status RunOnNode(std::shared_ptr<TFReaderOp> node, bool *modified) override;
+
+    /// \brief Perform leaf node cache tranform identifications
+    /// \param[in] node The node being visited
+    /// \param[inout] modified Indicator if the node was changed at all
+    /// \return Status The error code return
+    Status RunOnNode(std::shared_ptr<ClueOp> node, bool *modified) override;
+
+    /// \brief Perform leaf node cache tranform identifications
+    /// \param[in] node The node being visited
+    /// \param[inout] modified Indicator if the node was changed at all
+    /// \return Status The error code return
+    Status RunOnNode(std::shared_ptr<CsvOp> node, bool *modified) override;
+
+    /// \brief Perform leaf node cache tranform identifications
+    /// \param[in] node The node being visited
+    /// \param[inout] modified Indicator if the node was changed at all
+    /// \return Status The error code return
+    Status RunOnNode(std::shared_ptr<TextFileOp> node, bool *modified) override;
 #endif
 
     /// \brief Perform leaf node cache tranform identifications

mindspore/dataset/engine/validators.py

@@ -83,6 +83,9 @@ def check_mnist_cifar_dataset(method):
 
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -110,6 +113,9 @@ def check_manifestdataset(method):
 
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -180,6 +186,9 @@ def check_vocdataset(method):
         validate_dataset_param_value(nreq_param_dict, param_dict, dict)
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -216,6 +225,9 @@ def check_cocodataset(method):
             raise ValueError("CocoDataset doesn't support PKSampler")
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -252,6 +264,9 @@ def check_celebadataset(method):
         if sampler is not None and isinstance(sampler, samplers.PKSampler):
             raise ValueError("CelebADataset does not support PKSampler.")
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -842,6 +857,9 @@ def check_cluedataset(method):
         validate_dataset_param_value(nreq_param_int, param_dict, int)
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -885,6 +903,9 @@ def check_csvdataset(method):
         validate_dataset_param_value(nreq_param_int, param_dict, int)
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -904,6 +925,9 @@ def check_textfiledataset(method):
         validate_dataset_param_value(nreq_param_int, param_dict, int)
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method

tests/ut/python/cachetests/cachetest_py.sh

@@ -103,6 +103,24 @@ HandleRcExit $? 0 0
 PytestCmd "test_cache_map.py" "test_cache_map_epoch_ctrl" 1
 HandleRcExit $? 0 0
 
+PytestCmd "test_cache_map.py" "test_cache_map_coco" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_map.py" "test_cache_map_mnist" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_map.py" "test_cache_map_celeba" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_map.py" "test_cache_map_manifest" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_map.py" "test_cache_map_cifar" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_map.py" "test_cache_map_voc" 1
+HandleRcExit $? 0 0
+
 # Run two parallel pipelines (sharing cache)
 for i in $(seq 1 2)
 do
@@ -282,6 +300,15 @@ HandleRcExit $? 0 0
 PytestCmd "test_cache_nomap.py" "test_cache_nomap_epoch_ctrl" 1
 HandleRcExit $? 0 0
 
+PytestCmd "test_cache_nomap.py" "test_cache_nomap_clue" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_nomap.py" "test_cache_nomap_csv" 1
+HandleRcExit $? 0 0
+
+PytestCmd "test_cache_nomap.py" "test_cache_nomap_textfile" 1
+HandleRcExit $? 0 0
+
 for i in $(seq 1 3)
 do
    test_name="test_cache_nomap_multiple_cache${i}"

tests/ut/python/dataset/test_datasets_textfileop.py

@@ -40,8 +40,9 @@ def test_textline_dataset_all_file():
     assert count == 5
 
 
-def test_textline_dataset_num_samples_zero():
+def test_textline_dataset_num_samples_none():
-    data = ds.TextFileDataset(DATA_FILE, num_samples=0)
+    # Do not provide a num_samples argument, so it would be None by default
+    data = ds.TextFileDataset(DATA_FILE)
     count = 0
     for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
         logger.info("{}".format(i["text"]))
@@ -208,7 +209,7 @@ def test_textline_dataset_exceptions():
 if __name__ == "__main__":
     test_textline_dataset_one_file()
     test_textline_dataset_all_file()
-    test_textline_dataset_num_samples_zero()
+    test_textline_dataset_num_samples_none()
     test_textline_dataset_shuffle_false4()
     test_textline_dataset_shuffle_false1()
     test_textline_dataset_shuffle_files4()