Add IR for generator Op

fix ci

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

@@ -134,6 +134,8 @@ class GeneratorOp : public PipelineOp {
   // @return Name of the current Op
   std::string Name() const override { return "GeneratorOp"; }
 
+  Status Init();
+
  private:
   py::function generator_function_;
   std::vector<std::string> column_names_;
@@ -146,8 +148,6 @@ class GeneratorOp : public PipelineOp {
 
   WaitPost wp_;
 
-  Status Init();
-
   void Dealloc() noexcept;
 
   Status PyRowToTensorRow(py::object py_data, TensorRow *tensor_row);

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/CMakeLists.txt

@@ -1,4 +1,15 @@
 file(GLOB_RECURSE _CURRENT_SRC_FILES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} "*.cc")
 set_property(SOURCE ${_CURRENT_SRC_FILES} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_MD)
-add_library(engine-ir-datasetops-source OBJECT
-        image_folder_node.cc)
+
+set(DATASET_ENGINE_IR_DATASETOPS_SOURCE_SRC_FILES
+        image_folder_node.cc
+        )
+
+if (ENABLE_PYTHON)
+    set(DATASET_ENGINE_IR_DATASETOPS_SOURCE_SRC_FILES
+            ${DATASET_ENGINE_IR_DATASETOPS_SOURCE_SRC_FILES}
+            generator_node.cc
+            )
+endif ()
+
+add_library(engine-ir-datasetops-source OBJECT ${DATASET_ENGINE_IR_DATASETOPS_SOURCE_SRC_FILES})

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/generator_node.cc

@@ -0,0 +1,60 @@
+/**
+ * Copyright 2020 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 "minddata/dataset/engine/ir/datasetops/source/generator_node.h"
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "minddata/dataset/engine/datasetops/source/generator_op.h"
+#include "minddata/dataset/util/status.h"
+
+namespace mindspore {
+namespace dataset {
+namespace api {
+GeneratorNode::GeneratorNode(py::function generator_function, const std::vector<std::string> &column_names,
+                             const std::vector<DataType> &column_types)
+    : generator_function_(generator_function), column_names_(column_names), column_types_(column_types) {}
+
+std::vector<std::shared_ptr<DatasetOp>> GeneratorNode::Build() {
+  // A vector containing shared pointer to the Dataset Ops that this object will create
+  std::vector<std::shared_ptr<DatasetOp>> node_ops;
+  // GeneratorOp's constructor takes in a prefetch_size, which isn't being set by user nor is it being used by
+  // GeneratorOp internally. Here it is given a zero which is the default in generator builder
+  std::shared_ptr<GeneratorOp> op = std::make_shared<GeneratorOp>(generator_function_, column_names_, column_types_, 0,
+                                                                  rows_per_buffer_, connector_que_size_);
+
+  // Init() is called in builder when generator is built. Here, since we are getting away from the builder class, init
+  // needs to be called when the op is built. The caveat is that Init needs to be made public (before it is private).
+  // This method can be privatized once we move Init() to Generator's functor. However, that is a bigger change which
+  // best be delivered when the test cases for this api is ready.
+  Status rc = op->Init();
+
+  if (rc.IsOk()) {
+    node_ops.push_back(op);
+  } else {
+    MS_LOG(ERROR) << "Fail to Init GeneratorOp : " << rc.ToString();
+  }
+
+  return node_ops;
+}
+
+// no validation is needed for generator op.
+Status GeneratorNode::ValidateParams() { return Status::OK(); }
+}  // namespace api
+}  // namespace dataset
+}  // namespace mindspore

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/generator_node.h

@@ -0,0 +1,59 @@
+/**
+ * Copyright 2020 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.
+ */
+
+#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_GENERATOR_NODE_H_
+#define MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_GENERATOR_NODE_H_
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "minddata/dataset/include/datasets.h"
+#include "minddata/dataset/util/status.h"
+
+namespace mindspore {
+namespace dataset {
+
+namespace api {
+
+/// \class GeneratorNode
+/// \brief A Dataset derived class to represent GeneratorNode dataset
+class GeneratorNode : public Dataset {
+ public:
+  /// \brief Constructor
+  GeneratorNode(py::function generator_function, const std::vector<std::string> &column_names,
+                const std::vector<DataType> &column_types);
+
+  /// \brief Destructor
+  ~GeneratorNode() = default;
+
+  /// \brief a base class override function to create the required runtime dataset op objects for this class
+  /// \return The list of shared pointers to the newly created DatasetOps
+  std::vector<std::shared_ptr<DatasetOp>> Build() override;
+
+  /// \brief Parameters validation
+  /// \return Status Status::OK() if all the parameters are valid
+  Status ValidateParams() override;
+
+ private:
+  py::function generator_function_;
+  std::vector<std::string> column_names_;
+  std::vector<DataType> column_types_;
+};
+}  // namespace api
+}  // namespace dataset
+}  // namespace mindspore
+#endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_GENERATOR_NODE_H_