applied minor fixes

build.sh

@@ -519,11 +519,6 @@ build_opencl() {
     fi
 }
 
-build_gtest() {
-    cd ${BASEPATH}
-    git submodule update --init --recursive third_party/googletest
-}
-
 build_opencv() {
     cd ${BASEPATH}
     if [[ "${INC_BUILD}" == "off" ]]; then
@@ -566,7 +561,6 @@ build_minddata_lite_deps()
   build_opencv
   build_eigen
   build_jpeg_turbo
-  build_gtest
 }
 
 build_lite()

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

@@ -46,7 +46,7 @@ std::shared_ptr<tensor::MSTensor> Execute::operator()(std::shared_ptr<tensor::MS
     MS_LOG(ERROR) << "Operation execution failed : " << rc.ToString();
     return nullptr;
   }
-  return std::shared_ptr<tensor::MSTensor>(new tensor::DETensor(std::move(de_output)));
+  return std::make_shared<tensor::DETensor>(std::move(de_output));
 }
 
 

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

-
-#ifndef DATASET_INCLUDE_DETENSOR_H_
-#define DATASET_INCLUDE_DETENSOR_H_
+#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_API_DETENSOR_H_
+#define MINDSPORE_CCSRC_MINDDATA_DATASET_API_DETENSOR_H_
 #include "include/ms_tensor.h"
 #include "minddata/dataset/include/tensor.h"
 #include "minddata/dataset/util/status.h"
@@ -8,46 +7,50 @@ namespace mindspore {
 namespace tensor {
 class DETensor : public MSTensor {
  public:
-    // brief Create a MSTensor pointer.
-    //
-    // param data_type DataTypeId of tensor to be created.
-    // param shape Shape of tensor to be created.
-    // return MSTensor pointer.
-    static MSTensor *CreateTensor(TypeId data_type, const std::vector<int> &shape);
+   /// \brief Create a MSTensor pointer.
+   /// \param[data_type] DataTypeId of tensor to be created.
+   /// \param[shape] Shape of tensor to be created.
+   /// \return - MSTensor pointer.
+   static MSTensor *CreateTensor(TypeId data_type, const std::vector<int> &shape);
 
-    static MSTensor *CreateTensor(const std::string &path);
+   /// \brief Create a MSTensor pointer.
+   /// \param[path] Path file to be read.
+   /// \return - MSTensor pointer.
+   static MSTensor *CreateTensor(const std::string &path);
 
-    DETensor(TypeId data_type, const std::vector<int> &shape);
+   DETensor(TypeId data_type, const std::vector<int> &shape);
 
-    explicit DETensor(std::shared_ptr<dataset::Tensor> tensor_ptr);
+   explicit DETensor(std::shared_ptr<dataset::Tensor> tensor_ptr);
 
-    ~DETensor() = default;
+   ~DETensor() = default;
 
-    MSTensor *ConvertToLiteTensor(); 
+   /// \brief Create a duplicate instance, convert the DETensor to the LiteTensor.
+   /// \return - MSTensor pointer.
+   MSTensor *ConvertToLiteTensor(); 
 
-    std::shared_ptr<dataset::Tensor> tensor() const;
+   std::shared_ptr<dataset::Tensor> tensor() const;
 
-    TypeId data_type() const override;
+   TypeId data_type() const override;
 
-    TypeId set_data_type(const TypeId data_type) override;
+   TypeId set_data_type(const TypeId data_type) override;
 
-    std::vector<int> shape() const override;
+   std::vector<int> shape() const override;
 
-    size_t set_shape(const std::vector<int> &shape) override;
+   size_t set_shape(const std::vector<int> &shape) override;
 
-    int DimensionSize(size_t index) const override;
+   int DimensionSize(size_t index) const override;
 
-    int ElementsNum() const override;
+   int ElementsNum() const override;
 
-    std::size_t hash() const override;
+   std::size_t hash() const override;
 
-    size_t Size() const override;
+   size_t Size() const override;
 
-    void *MutableData() const override;
+   void *MutableData() const override;
 
  protected:
-    std::shared_ptr<dataset::Tensor> tensor_impl_;
+   std::shared_ptr<dataset::Tensor> tensor_impl_;
 };
 }  // namespace tensor
 }  // namespace mindspore
-#endif  // DATASET_INCLUDE_DETENSOR_H_
\ No newline at end of file
+#endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_API_DETENSOR_H_
\ No newline at end of file

mindspore/lite/test/ut/src/dataset/de_tensor_test.cc

 /**
- * Copyright 2019 Huawei Technologies Co., Ltd
+ * 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.

mindspore/lite/test/ut/src/dataset/eager_test.cc

@@ -62,104 +62,3 @@ TEST_F(MindDataTestEager, Test1) {
   double elapsed_time_ms = std::chrono::duration<double, std::milli>(t_end-t_start).count();
   MS_LOG(INFO) << "duration: " << elapsed_time_ms << " ms\n";
 }
-
-/*
-TEST_F(MindDataTestEager, Test2) {
-  // string dir for image folder
-  std::string in_dir = datasets_root_path_ + "/testPK/data";
-  // run dataset with decode = on
-  std::shared_ptr<Dataset> ds = ImageFolder(in_dir, true, RandomSampler(false));
-  std::shared_ptr<TensorOperation> normalize_op = vision::Normalize({121.0, 115.0, 100.0}, {70.0, 68.0, 71.0});
-  EXPECT_TRUE(normalize_op != nullptr);
-  std::shared_ptr<TensorOperation> resize_op = vision::Resize({224, 224});
-  EXPECT_TRUE(resize_op != nullptr);
-  ds = ds->Map({normalize_op, resize_op});
-  EXPECT_TRUE(ds != nullptr);
-  // Create an iterator over the result of the above dataset
-  // This will trigger the creation of the Execution Tree and launch it.
-  std::shared_ptr<Iterator> iter = ds->CreateIterator();
-  EXPECT_TRUE(iter != nullptr);
-
-  // Iterate the dataset and get each row
-  std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
-  iter->GetNextRow(&row);
-
-  uint64_t i = 0;
-  while (row.size() != 0) {
-    i++;
-    auto image = row["image"];
-    MS_LOG(INFO) << "Tensor image shape: " << image->shape();
-    iter->GetNextRow(&row);
-  }
-  MS_LOG(WARNING) << i << ".";
-  iter->Stop();
-
-}
-
-TEST_F(MindDataTestEager, Test3) {
-  // string dir for image folder
-  ConfigManager cm = ConfigManager();
-  cm.set_num_parallel_workers(1);
-  std::string in_dir = datasets_root_path_ + "/testPK/data";
-  // run dataset with decode = on
-  std::shared_ptr<Dataset> ds = ImageFolder(in_dir, true, RandomSampler(false));
-  std::shared_ptr<TensorOperation> normalize_op = vision::Normalize({121.0, 115.0, 100.0}, {70.0, 68.0, 71.0});
-  EXPECT_TRUE(normalize_op != nullptr);
-  std::shared_ptr<TensorOperation> resize_op = vision::Resize({224, 224});
-  EXPECT_TRUE(resize_op != nullptr);
-  ds = ds->Map({normalize_op, resize_op});
-  EXPECT_TRUE(ds != nullptr);
-  // Create an iterator over the result of the above dataset
-  // This will trigger the creation of the Execution Tree and launch it.
-  std::shared_ptr<Iterator> iter = ds->CreateIterator();
-  EXPECT_TRUE(iter != nullptr);
-
-  // Iterate the dataset and get each row
-  std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
-  iter->GetNextRow(&row);
-
-  uint64_t i = 0;
-  while (row.size() != 0) {
-    i++;
-    auto image = row["image"];
-    MS_LOG(INFO) << "Tensor image shape: " << image->shape();
-    iter->GetNextRow(&row);
-  }
-  MS_LOG(WARNING) << i << ".";
-  iter->Stop();
-
-}
-
-TEST_F(MindDataTestEager, Test4) {
-  // string dir for image folder
-  ConfigManager cm = ConfigManager();
-  cm.set_num_parallel_workers(1);
-  std::string in_dir = datasets_root_path_ + "/testPK/data";
-  // run dataset with decode = on
-  std::shared_ptr<Dataset> ds = ImageFolder(in_dir, true, RandomSampler(false));
-  // Create an iterator over the result of the above dataset
-  // This will trigger the creation of the Execution Tree and launch it.
-  std::shared_ptr<Iterator> iter = ds->CreateIterator();
-  EXPECT_TRUE(iter != nullptr);
-
-  // Iterate the dataset and get each row
-  std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
-  iter->GetNextRow(&row);
-
-  uint64_t i = 0;
-  while (row.size() != 0) {
-    i++;
-    auto image = row["image"];
-    image = Execute(vision::Normalize({121.0, 115.0, 100.0}, {70.0, 68.0, 71.0}))(image);
-    EXPECT_TRUE(image != nullptr);
-    image = Execute(vision::Resize({224, 224}))(image);
-    EXPECT_TRUE(image != nullptr);
-
-    MS_LOG(INFO) << "Tensor image shape: " << image->shape();
-    iter->GetNextRow(&row);
-  }
-  MS_LOG(WARNING) << i << ".";
-  iter->Stop();
-
-}
-*/