Adding data_helper class

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

@@ -146,9 +146,9 @@ std::shared_ptr<Cifar100Dataset> Cifar100(const std::string &dataset_dir,
 ///     (Default = 0 means all samples.)
 /// \param[in] shuffle The mode for shuffling data every epoch. (Default=ShuffleMode.kGlobal)
 ///     Can be any of:
-///     ShuffleMode.kFalse - No shuffling is performed.
-///     ShuffleMode.kFiles - Shuffle files only.
-///     ShuffleMode.kGlobal - Shuffle both the files and samples.
+///     ShuffleMode::kFalse - No shuffling is performed.
+///     ShuffleMode::kFiles - Shuffle files only.
+///     ShuffleMode::kGlobal - Shuffle both the files and samples.
 /// \param[in] num_shards Number of shards that the dataset should be divided into. (Default = 1)
 /// \param[in] shard_id The shard ID within num_shards. This argument should be
 ///     specified only when num_shards is also specified. (Default = 0)

mindspore/ccsrc/minddata/dataset/util/CMakeLists.txt

@@ -5,6 +5,7 @@ add_library(utils OBJECT
     buddy.cc
     cache_pool.cc
     circular_pool.cc
+    data_helper.cc
     memory_pool.cc
     cond_var.cc
     intrp_service.cc

mindspore/ccsrc/minddata/dataset/util/data_helper.cc

@@ -0,0 +1,142 @@
+/**
+ * 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/util/data_helper.h"
+
+#include <algorithm>
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <memory>
+#include <sstream>
+#include <nlohmann/json.hpp>
+
+#include "minddata/dataset/util/status.h"
+#include "minddata/dataset/core/tensor.h"
+#include "minddata/dataset/core/tensor_shape.h"
+#include "utils/log_adapter.h"
+#include "minddata/dataset/util/path.h"
+
+namespace mindspore {
+namespace dataset {
+// Create a numbered json file from image folder
+Status DataHelper::CreateAlbum(const std::string &in_dir, const std::string &out_dir) {
+  // in check
+  Path base_dir = Path(in_dir);
+  if (!base_dir.IsDirectory() || !base_dir.Exists()) {
+    RETURN_STATUS_UNEXPECTED("Input dir is not a directory or doesn't exist");
+  }
+  // check if output_dir exists and create it if it does not exist
+  Path target_dir = Path(out_dir);
+  RETURN_IF_NOT_OK(target_dir.CreateDirectory());
+
+  // iterate over in dir and create json for all images
+  uint64_t index = 0;
+  auto dir_it = Path::DirIterator::OpenDirectory(&base_dir);
+  while (dir_it->hasNext()) {
+    Path v = dir_it->next();
+    // check if found file fits image extension
+
+    // create json file in output dir with the path
+    std::string out_file = out_dir + "/" + std::to_string(index) + ".json";
+    UpdateValue(out_file, "image", v.toString(), out_file);
+    index++;
+  }
+  return Status::OK();
+}
+
+// A print method typically used for debugging
+void DataHelper::Print(std::ostream &out) const {
+  out << "  Data Helper"
+      << "\n";
+}
+
+Status DataHelper::UpdateArray(const std::string &in_file, const std::string &key,
+                               const std::vector<std::string> &value, const std::string &out_file) {
+  try {
+    Path in = Path(in_file);
+    nlohmann::json js;
+    if (in.Exists()) {
+      std::ifstream in_stream(in_file);
+      MS_LOG(INFO) << "Filename: " << in_file << ".";
+      in_stream >> js;
+      in_stream.close();
+    }
+    js[key] = value;
+    MS_LOG(INFO) << "Write outfile is: " << js << ".";
+    if (out_file == "") {
+      std::ofstream o(in_file, std::ofstream::trunc);
+      o << js;
+      o.close();
+    } else {
+      std::ofstream o(out_file, std::ofstream::trunc);
+      o << js;
+      o.close();
+    }
+  }
+  // Catch any exception and convert to Status return code
+  catch (const std::exception &err) {
+    RETURN_STATUS_UNEXPECTED("Update json failed ");
+  }
+  return Status::OK();
+}
+
+Status DataHelper::RemoveKey(const std::string &in_file, const std::string &key, const std::string &out_file) {
+  try {
+    Path in = Path(in_file);
+    nlohmann::json js;
+    if (in.Exists()) {
+      std::ifstream in_stream(in_file);
+      MS_LOG(INFO) << "Filename: " << in_file << ".";
+      in_stream >> js;
+      in_stream.close();
+    }
+    js.erase(key);
+    MS_LOG(INFO) << "Write outfile is: " << js << ".";
+    if (out_file == "") {
+      std::ofstream o(in_file, std::ofstream::trunc);
+      o << js;
+      o.close();
+    } else {
+      std::ofstream o(out_file, std::ofstream::trunc);
+      o << js;
+      o.close();
+    }
+  }
+  // Catch any exception and convert to Status return code
+  catch (const std::exception &err) {
+    RETURN_STATUS_UNEXPECTED("Update json failed ");
+  }
+  return Status::OK();
+}
+
+size_t DataHelper::DumpTensor(const std::shared_ptr<Tensor> &input, void *addr, const size_t &buffer_size) {
+  // get tensor size
+  size_t tensor_size = input->SizeInBytes();
+  // iterate over entire tensor
+  const unsigned char *tensor_addr = input->GetBuffer();
+  // tensor iterator print
+  // write to address, input order is: destination, source
+  errno_t ret = memcpy_s(addr, buffer_size, tensor_addr, tensor_size);
+  if (ret != 0) {
+    // memcpy failed
+    MS_LOG(ERROR) << "memcpy tensor memory failed"
+                  << ".";
+    return 0;  // amount of data copied is 0, error
+  }
+  return tensor_size;
+}
+}  // namespace dataset
+}  // namespace mindspore

mindspore/ccsrc/minddata/dataset/util/data_helper.h

@@ -0,0 +1,214 @@
+/**
+ * Copyright 2019 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_UTIL_DATA_HELPER_H_
+#define MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_DATA_HELPER_H_
+
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <memory>
+#include <sstream>
+#include <string>
+#include <unordered_map>
+#include <vector>
+#include <nlohmann/json.hpp>
+
+#include "minddata/dataset/core/constants.h"
+#include "minddata/dataset/core/data_type.h"
+#include "minddata/dataset/core/tensor.h"
+#include "minddata/dataset/core/tensor_shape.h"
+#include "utils/log_adapter.h"
+#include "minddata/dataset/util/path.h"
+#include "minddata/dataset/util/status.h"
+
+namespace mindspore {
+namespace dataset {
+
+/// \brief Simple class to do data manipulation, contains helper function to update json files in dataset
+class DataHelper {
+ public:
+  /// \brief constructor
+  DataHelper() {}
+
+  /// \brief Destructor
+  ~DataHelper() = default;
+
+  /// \brief Create an Album dataset while taking in a path to a image folder
+  ///     Creates the output directory if doesn't exist
+  /// \param[in] in_dir Image folder directory that takes in images
+  /// \param[in] out_dir Directory containing output json files
+  Status CreateAlbum(const std::string &in_dir, const std::string &out_dir);
+
+  /// \brief Update a json file field with a vector of integers
+  /// \param in_file The input file name to read in
+  /// \param key Key of field to write to
+  /// \param value Value array to write to file
+  /// \param out_file Optional input for output file path, will write to input file if not specified
+  /// \return Status The error code return
+  Status UpdateArray(const std::string &in_file, const std::string &key, const std::vector<std::string> &value,
+                     const std::string &out_file = "");
+
+  /// \brief Update a json file field with a vector of type T values
+  /// \param in_file The input file name to read in
+  /// \param key Key of field to write to
+  /// \param value Value array to write to file
+  /// \param out_file Optional parameter for output file path, will write to input file if not specified
+  /// \return Status The error code return
+  template <typename T>
+  Status UpdateArray(const std::string &in_file, const std::string &key, const std::vector<T> &value,
+                     const std::string &out_file = "") {
+    try {
+      Path in = Path(in_file);
+      nlohmann::json js;
+      if (in.Exists()) {
+        std::ifstream in(in_file);
+        MS_LOG(INFO) << "Filename: " << in_file << ".";
+        in >> js;
+        in.close();
+      }
+      js[key] = value;
+      MS_LOG(INFO) << "Write outfile is: " << js << ".";
+      if (out_file == "") {
+        std::ofstream o(in_file, std::ofstream::trunc);
+        o << js;
+        o.close();
+      } else {
+        std::ofstream o(out_file, std::ofstream::trunc);
+        o << js;
+        o.close();
+      }
+    }
+    // Catch any exception and convert to Status return code
+    catch (const std::exception &err) {
+      RETURN_STATUS_UNEXPECTED("Update json failed ");
+    }
+    return Status::OK();
+  }
+
+  /// \brief Update a json file field with a single value of of type T
+  /// \param in_file The input file name to read in
+  /// \param key Key of field to write to
+  /// \param value Value to write to file
+  /// \param out_file Optional parameter for output file path, will write to input file if not specified
+  /// \return Status The error code return
+  template <typename T>
+  Status UpdateValue(const std::string &in_file, const std::string &key, const T &value,
+                     const std::string &out_file = "") {
+    try {
+      Path in = Path(in_file);
+      nlohmann::json js;
+      if (in.Exists()) {
+        std::ifstream in(in_file);
+        MS_LOG(INFO) << "Filename: " << in_file << ".";
+        in >> js;
+        in.close();
+      }
+      js[key] = value;
+      MS_LOG(INFO) << "Write outfile is: " << js << ".";
+      if (out_file == "") {
+        std::ofstream o(in_file, std::ofstream::trunc);
+        o << js;
+        o.close();
+      } else {
+        std::ofstream o(out_file, std::ofstream::trunc);
+        o << js;
+        o.close();
+      }
+    }
+    // Catch any exception and convert to Status return code
+    catch (const std::exception &err) {
+      RETURN_STATUS_UNEXPECTED("Update json failed ");
+    }
+    return Status::OK();
+  }
+
+  /// \brief Template function to write tensor to file
+  /// \param[in] in_file File to write to
+  /// \param[in] data Array of type T values
+  /// \return Status The error code return
+  template <typename T>
+  Status WriteBinFile(const std::string &in_file, const std::vector<T> &data) {
+    try {
+      std::ofstream o(in_file, std::ios::binary | std::ios::out);
+      if (!o.is_open()) {
+        RETURN_STATUS_UNEXPECTED("Error opening Bin file to write");
+      }
+      size_t length = data.size();
+      o.write(reinterpret_cast<const char *>(&data[0]), std::streamsize(length * sizeof(T)));
+      o.close();
+    }
+    // Catch any exception and convert to Status return code
+    catch (const std::exception &err) {
+      RETURN_STATUS_UNEXPECTED("Write bin file failed ");
+    }
+    return Status::OK();
+  }
+
+  /// \brief Write pointer to bin, use pointer to avoid memcpy
+  /// \param[in] in_file File name to write to
+  /// \param[in] data Pointer to data
+  /// \param[in] length Length of values to write from pointer
+  /// \return Status The error code return
+  template <typename T>
+  Status WriteBinFile(const std::string &in_file, T *data, size_t length) {
+    try {
+      std::ofstream o(in_file, std::ios::binary | std::ios::out);
+      if (!o.is_open()) {
+        RETURN_STATUS_UNEXPECTED("Error opening Bin file to write");
+      }
+      o.write(reinterpret_cast<const char *>(data), std::streamsize(length * sizeof(T)));
+      o.close();
+    }
+    // Catch any exception and convert to Status return code
+    catch (const std::exception &err) {
+      RETURN_STATUS_UNEXPECTED("Write bin file failed ");
+    }
+    return Status::OK();
+  }
+
+  /// \brief Helper function to copy content of a tensor to buffer
+  /// \note This function iterates over the tensor in bytes, since
+  /// \param[in] input The tensor to copy value from
+  /// \param[out] addr The address to copy tensor data to
+  /// \param[in] buffer_size The buffer size of addr
+  /// \return The size of the tensor (bytes copied
+  size_t DumpTensor(const std::shared_ptr<Tensor> &input, void *addr, const size_t &buffer_size);
+
+  /// \brief Helper function to delete key in json file
+  /// note This function will return okay even if key not found
+  /// \param[in] in_file Json file to remove key from
+  /// \param[in] key The key to remove
+  /// \return Status The error code return
+  Status RemoveKey(const std::string &in_file, const std::string &key, const std::string &out_file = "");
+
+  /// \brief A print method typically used for debugging
+  /// \param out - The output stream to write output to
+  void Print(std::ostream &out) const;
+
+  /// \brief << Stream output operator overload
+  /// \notes This allows you to write the debug print info using stream operators
+  /// \param out Reference to the output stream being overloaded
+  /// \param ds Reference to the DataSchema to display
+  /// \return The output stream must be returned
+  friend std::ostream &operator<<(std::ostream &out, const DataHelper &dh) {
+    dh.Print(out);
+    return out;
+  }
+};
+}  // namespace dataset
+}  // namespace mindspore
+
+#endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_DATA_HELPER_H_

tests/ut/cpp/dataset/CMakeLists.txt

@@ -121,6 +121,7 @@ SET(DE_UT_SRCS
         solarize_op_test.cc
         swap_red_blue_test.cc
         distributed_sampler_test.cc
+	data_helper_test.cc
         )
 
 if (ENABLE_PYTHON)

tests/ut/cpp/dataset/data_helper_test.cc

@@ -0,0 +1,195 @@
+/**
+ * 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 <fstream>
+#include <iostream>
+#include <memory>
+#include <string>
+#include "common/common.h"
+#include "minddata/dataset/core/client.h"
+#include "minddata/dataset/core/global_context.h"
+#include "minddata/dataset/core/tensor.h"
+#include "minddata/dataset/core/tensor_shape.h"
+#include "minddata/dataset/core/data_type.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/distributed_sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/pk_sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/random_sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/sequential_sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/subset_random_sampler.h"
+#include "minddata/dataset/engine/datasetops/source/sampler/weighted_random_sampler.h"
+#include "minddata/dataset/util/data_helper.h"
+#include "minddata/dataset/util/path.h"
+#include "minddata/dataset/util/status.h"
+#include "gtest/gtest.h"
+#include "utils/log_adapter.h"
+#include "securec.h"
+
+using namespace mindspore::dataset;
+using mindspore::MsLogLevel::ERROR;
+using mindspore::ExceptionType::NoExceptionType;
+using mindspore::LogStream;
+
+class MindDataTestDataHelper : public UT::DatasetOpTesting  {
+ protected: 
+};
+
+TEST_F(MindDataTestDataHelper, MindDataTestHelper) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/images/1.json";
+  DataHelper dh; 
+  std::vector<std::string> new_label = {"3", "4"};
+  Status rc = dh.UpdateArray(file_path, "label", new_label); 
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during label update: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestAlbumGen) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/original";
+  std::string out_path = datasets_root_path_ + "/testAlbum/testout";
+  DataHelper dh;
+  Status rc = dh.CreateAlbum(file_path, out_path);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during album generation: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateArrayInt) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/testout/2.json";
+  DataHelper dh;
+  std::vector<int> new_label = {3, 4};
+  Status rc = dh.UpdateArray(file_path, "label", new_label);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during json int array update: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateArrayString) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/testout/3.json";
+  DataHelper dh;
+  std::vector<std::string> new_label = {"3", "4"};
+  Status rc = dh.UpdateArray(file_path, "label", new_label);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during json string array update: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateValueInt) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/testout/4.json";
+  DataHelper dh;
+  int new_label = 3;
+  Status rc = dh.UpdateValue(file_path, "label", new_label);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during json int update: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateString) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/testout/5.json";
+  DataHelper dh;
+  std::string new_label = "new label";
+  Status rc = dh.UpdateValue(file_path, "label", new_label);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during json string update: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestDeleteKey) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/testout/5.json";
+  DataHelper dh;
+  Status rc = dh.RemoveKey(file_path, "label");
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during json key remove: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestBinWrite) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/1.bin";
+  DataHelper dh;
+  std::vector<float> bin_content = {3, 4};
+  Status rc = dh.WriteBinFile(file_path, bin_content);
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during bin file write: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestBinWritePointer) {
+  std::string file_path = datasets_root_path_ + "/testAlbum/2.bin";
+  DataHelper dh;
+  std::vector<float> bin_content = {3, 4};
+
+  Status rc = dh.WriteBinFile(file_path, &bin_content[0], bin_content.size());
+  if (rc.IsError()) {
+    MS_LOG(ERROR) << "Return code error detected during binfile write: "  << ".";
+    EXPECT_TRUE(false);
+  }
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTensorWriteFloat) {
+  // create tensor
+  std::vector<float> y = {2.5, 3.0, 3.5, 4.0};
+  std::shared_ptr<Tensor> t;
+  Tensor::CreateFromVector(y, &t);
+  // create buffer using system mempool
+  DataHelper dh;
+  void *data = malloc(t->SizeInBytes());
+  auto bytes_copied = dh.DumpTensor(std::move(t), data, t->SizeInBytes());
+  if (bytes_copied != t->SizeInBytes()) {
+    EXPECT_TRUE(false);
+  }
+  float *array = static_cast<float *>(data);
+  if (array[0] != 2.5) { EXPECT_TRUE(false); }
+  if (array[1] != 3.0) { EXPECT_TRUE(false); }
+  if (array[2] != 3.5) { EXPECT_TRUE(false); }
+  if (array[3] != 4.0) { EXPECT_TRUE(false); }
+  std::free(data); 
+}
+
+TEST_F(MindDataTestDataHelper, MindDataTestTensorWriteUInt) {
+  // create tensor
+  std::vector<uint8_t> y = {1, 2, 3, 4};
+  std::shared_ptr<Tensor> t;
+  Tensor::CreateFromVector(y, &t);
+  uint8_t o;
+  t->GetItemAt<uint8_t>(&o, {0, 0});
+  MS_LOG(INFO) << "before op :" << std::to_string(o) << ".";
+
+  // create buffer using system mempool
+  DataHelper dh;
+  void *data = malloc(t->SizeInBytes());
+  auto bytes_copied = dh.DumpTensor(t, data, t->SizeInBytes());
+  if (bytes_copied != t->SizeInBytes()) {
+    EXPECT_TRUE(false);
+  }
+  t->GetItemAt<uint8_t>(&o, {});
+  MS_LOG(INFO) << "after op :" << std::to_string(o) << ".";
+
+  uint8_t *array = static_cast<uint8_t *>(data);
+  if (array[0] != 1) { EXPECT_TRUE(false); }
+  if (array[1] != 2) { EXPECT_TRUE(false); }
+  if (array[2] != 3) { EXPECT_TRUE(false); }
+  if (array[3] != 4) { EXPECT_TRUE(false); }
+  std::free(data);
+}
+
+