mindspore2022/mindspore/ccsrc/minddata/dataset/api/datasets.cc

2113 lines
110 KiB
C++

/**
* Copyright 2020-2022 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/include/dataset/datasets.h"
#include <algorithm>
#include <fstream>
#include <unordered_set>
#include <utility>
#include <nlohmann/json.hpp>
#include "minddata/dataset/core/tensor.h"
#include "minddata/dataset/core/type_id.h"
#include "minddata/dataset/engine/consumers/pull_based_tree_consumer.h"
#include "minddata/dataset/engine/consumers/tree_consumer.h"
#include "minddata/dataset/engine/runtime_context.h"
#include "minddata/dataset/include/dataset/constants.h"
#include "minddata/dataset/include/dataset/iterator.h"
#include "minddata/dataset/include/dataset/samplers.h"
#include "minddata/dataset/kernels/c_func_op.h"
#include "minddata/dataset/kernels/tensor_op.h"
#include "minddata/dataset/util/path.h"
#include "minddata/dataset/util/random.h"
#include "minddata/dataset/util/status.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/cache/dataset_cache_impl.h"
#include "minddata/dataset/include/dataset/text.h"
#endif
// Sampler headers (in alphabetical order)
#include "minddata/dataset/engine/ir/datasetops/source/samplers/samplers_ir.h"
// IR dataset node
#include "minddata/dataset/engine/ir/datasetops/dataset_node.h"
// IR non-leaf nodes
#include "minddata/dataset/engine/ir/datasetops/batch_node.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/datasetops/bucket_batch_by_length_node.h"
#include "minddata/dataset/engine/ir/datasetops/build_sentence_piece_vocab_node.h"
#include "minddata/dataset/engine/ir/datasetops/build_vocab_node.h"
#include "minddata/dataset/engine/ir/datasetops/concat_node.h"
#include "minddata/dataset/engine/ir/datasetops/filter_node.h"
#endif
#include "minddata/dataset/engine/ir/datasetops/map_node.h"
#include "minddata/dataset/engine/ir/datasetops/project_node.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/datasetops/rename_node.h"
#endif
#include "minddata/dataset/engine/ir/datasetops/repeat_node.h"
#include "minddata/dataset/engine/ir/datasetops/shuffle_node.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/datasetops/skip_node.h"
#include "minddata/dataset/engine/ir/datasetops/take_node.h"
#include "minddata/dataset/engine/ir/datasetops/transfer_node.h"
#include "minddata/dataset/engine/ir/datasetops/zip_node.h"
#endif
// IR leaf nodes
#include "minddata/dataset/engine/ir/datasetops/source/ag_news_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/album_node.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/datasetops/source/amazon_review_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/caltech256_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/celeba_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/cifar10_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/cifar100_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/cityscapes_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/clue_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/cmu_arctic_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/coco_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/conll2000_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/csv_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/dbpedia_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/div2k_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/emnist_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/en_wik9_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/fake_image_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/fashion_mnist_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/flickr_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/gtzan_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/image_folder_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/imdb_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/iwslt2016_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/iwslt2017_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/kitti_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/kmnist_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/lfw_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/libri_tts_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/lj_speech_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/lsun_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/manifest_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/minddata_node.h"
#endif
#include "minddata/dataset/engine/ir/datasetops/source/mnist_node.h"
#ifndef ENABLE_ANDROID
#include "minddata/dataset/engine/ir/datasetops/source/multi30k_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/omniglot_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/penn_treebank_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/photo_tour_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/places365_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/qmnist_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/random_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/sbu_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/semeion_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/sogou_news_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/speech_commands_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/squad_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/stl10_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/tedlium_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/text_file_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/tf_record_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/udpos_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/usps_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/voc_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/wider_face_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/wiki_text_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/yahoo_answers_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/yelp_review_node.h"
#include "minddata/dataset/engine/ir/datasetops/source/yes_no_node.h"
#endif
namespace mindspore {
namespace dataset {
// convert MSTensorVec to DE TensorRow, return empty if fails
TensorRow VecToRow(const MSTensorVec &v) {
TensorRow row;
row.reserve(v.size());
for (const MSTensor &t : v) {
std::shared_ptr<Tensor> rt;
Status rc = Tensor::CreateFromMSTensor(t, &rt);
if (rc.IsError()) {
MS_LOG_ERROR << "Convert from MSTensor to DETensor failed:" << rc.ToString() << ".";
return {};
}
row.emplace_back(rt);
}
return row;
}
// convert DE TensorRow to MSTensorVec, won't fail
MSTensorVec RowToVec(const TensorRow &v) {
MSTensorVec rv;
rv.reserve(v.size());
std::transform(v.begin(), v.end(), std::back_inserter(rv), [](const std::shared_ptr<Tensor> &t) -> MSTensor {
return mindspore::MSTensor(std::make_shared<DETensor>(t));
});
return rv;
}
// Convert a std::function<TensorRow(TensorRow)> to std::function<MSTensorVec(MSTensor)> with this helper
TensorRow FuncPtrConverter(const std::function<MSTensorVec(MSTensorVec)> &func, const TensorRow &in_row) {
return VecToRow(func(RowToVec(in_row)));
}
// Function to create the iterator, which will build and launch the execution tree.
std::shared_ptr<Iterator> Dataset::CreateIteratorCharIF(const std::vector<std::vector<char>> &columns,
int32_t num_epochs) {
std::shared_ptr<Iterator> iter;
try {
auto ds = shared_from_this();
// The specified columns will be selected from the dataset and passed down the pipeline
// in the order specified, other columns will be discarded.
if (!VectorCharToString(columns).empty()) {
ds = ds->Project(VectorCharToString(columns));
}
iter = std::make_shared<Iterator>();
Status rc = iter->BuildAndLaunchTree(ds, num_epochs);
if (rc.IsError()) {
MS_LOG(ERROR) << "CreateIterator failed." << rc;
return nullptr;
}
} catch (const std::exception &err) {
MS_LOG(ERROR) << "CreateIterator: Iterator exception caught: " << err.what();
return nullptr;
}
return iter;
}
// Function to create the iterator, which will build and launch the execution tree.
std::shared_ptr<PullIterator> Dataset::CreatePullBasedIterator(const std::vector<std::vector<char>> &columns) {
// The specified columns will be selected from the dataset and passed down the pipeline
// in the order specified, other columns will be discarded.
// This code is not in a try/catch block because there is no execution tree class that will be created.
auto ds = shared_from_this();
if (!VectorCharToString(columns).empty()) {
ds = ds->Project(VectorCharToString(columns));
}
std::shared_ptr<PullIterator> iter = std::make_shared<PullIterator>();
Status rc = iter->BuildAndLaunchTree(ds);
if (rc.IsError()) {
MS_LOG(ERROR) << "CreateIterator: Iterator exception caught: " << rc;
}
RETURN_SECOND_IF_ERROR(rc, nullptr);
return iter;
}
#ifndef ENABLE_ANDROID
// Function to return a transferred Node that transfers data through a device.
bool Dataset::DeviceQueueCharIF(const std::vector<char> &queue_name, const std::vector<char> &device_type,
int32_t device_id, int32_t num_epochs, bool send_epoch_end, int32_t total_batches,
bool create_data_info_queue) {
Status rc;
// Build and launch tree
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
rc = runtime_context->Init();
if (rc.IsError()) {
MS_LOG(ERROR) << "Failed to init runtime context. Error status: " << rc;
return false;
}
// Add TransferNode IR on top of dataset
auto ds =
std::make_shared<TransferNode>(shared_from_this()->IRNode(), CharToString(queue_name), CharToString(device_type),
device_id, send_epoch_end, total_batches, create_data_info_queue);
// Get ToDevice consumer
auto consumer = std::make_unique<ToDevice>(num_epochs);
ToDevice *consumer_ptr = consumer.get();
if (consumer_ptr == nullptr) {
MS_LOG(ERROR) << "ToDevice: Failed to get consumer.";
return false;
}
rc = consumer->Init(ds);
if (rc.IsError()) {
MS_LOG(ERROR) << "ToDevice: Failed to init. Error status: " << rc;
return false;
}
runtime_context->AssignConsumer(std::move(consumer));
// Send data to device
rc = consumer_ptr->Send();
if (rc.IsError()) {
MS_LOG(ERROR) << "ToDevice: Failed to send data to device. Error status: " << rc;
return false;
}
return true;
}
// Function to create the saver, which will build and launch the execution tree and save data
bool Dataset::SaveCharIF(const std::vector<char> &dataset_path, int32_t num_files,
const std::vector<char> &dataset_type) {
Status rc;
// Build and launch tree
auto ds = shared_from_this();
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
rc = runtime_context->Init();
if (rc.IsError()) {
MS_LOG(ERROR) << "CreateSaver failed." << rc;
return false;
}
// Get SaveToDisk consumer
auto consumer = std::make_unique<SaveToDisk>(CharToString(dataset_path), num_files, CharToString(dataset_type));
rc = consumer->ValidateParams();
if (rc.IsError()) {
MS_LOG(ERROR) << "CreateSaver failed." << rc;
return false;
}
SaveToDisk *consumer_ptr = consumer.get();
if (consumer_ptr == nullptr) {
MS_LOG(ERROR) << "ToDevice: Failed to get consumer.";
return false;
}
rc = consumer->Init(ds->IRNode());
if (rc.IsError()) {
MS_LOG(ERROR) << "CreateSaver failed." << rc;
return false;
}
runtime_context->AssignConsumer(std::move(consumer));
// Save data into file
rc = consumer_ptr->Save();
if (rc.IsError()) {
MS_LOG(ERROR) << "Saver: Failed to save data into file. Error status: " << rc;
return false;
}
// Shut down the data pipeline
rc = runtime_context->Terminate();
if (rc.IsError()) {
MS_LOG(ERROR) << "Saver: Failed to shut down pipeline. Error status: " << rc;
return false;
}
return true;
}
#endif
// Constructor
Dataset::Dataset() { tree_getters_ = std::make_shared<TreeGetters>(); }
int64_t Dataset::GetDatasetSize(bool estimate) {
int64_t dataset_size = -1;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), -1);
std::shared_ptr<DatasetSizeGetter> size_getter = std::make_shared<DatasetSizeGetter>();
DatasetSizeGetter *consumer = size_getter.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "DatasetSizeGetter: Failed to get consumer.";
return -1;
}
runtime_context->AssignConsumer(size_getter);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), -1);
RETURN_SECOND_IF_ERROR(consumer->GetDatasetSize(&dataset_size, estimate), -1);
return dataset_size;
}
std::vector<mindspore::DataType> Dataset::GetOutputTypes() {
std::vector<DataType> types;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), {});
TreeGetters *consumer = tree_getters_.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "TreeGetters: Failed to get consumer.";
return std::vector<mindspore::DataType>();
}
runtime_context->AssignConsumer(tree_getters_);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), {});
RETURN_SECOND_IF_ERROR(consumer->GetOutputTypes(&types), {});
std::vector<mindspore::DataType> ret_types;
std::transform(
types.begin(), types.end(), std::back_inserter(ret_types),
[](const DataType &d) -> mindspore::DataType { return static_cast<mindspore::DataType>(DETypeToMSType(d)); });
return ret_types;
}
std::vector<std::vector<int64_t>> Dataset::GetOutputShapes() {
std::vector<TensorShape> shapes;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), {});
TreeGetters *consumer = tree_getters_.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "TreeGetters: Failed to get consumer.";
return std::vector<std::vector<int64_t>>();
}
runtime_context->AssignConsumer(tree_getters_);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), {});
RETURN_SECOND_IF_ERROR(consumer->GetOutputShapes(&shapes), {});
std::vector<std::vector<int64_t>> ret_shapes;
std::transform(shapes.begin(), shapes.end(), std::back_inserter(ret_shapes),
[](const TensorShape &s) -> std::vector<int64_t> { return s.AsVector(); });
return ret_shapes;
}
int64_t Dataset::GetNumClasses() {
int64_t num_classes = -1;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), -1);
TreeGetters *consumer = tree_getters_.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "TreeGetters: Failed to get consumer.";
return -1;
}
runtime_context->AssignConsumer(tree_getters_);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), -1);
RETURN_SECOND_IF_ERROR(consumer->GetNumClasses(&num_classes), -1);
return num_classes;
}
std::vector<std::vector<char>> Dataset::GetColumnNamesCharIF() {
std::vector<std::string> col_names;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), {});
TreeGetters *consumer = tree_getters_.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "TreeGetters: Failed to get consumer.";
return std::vector<std::vector<char>>();
}
runtime_context->AssignConsumer(tree_getters_);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), {});
RETURN_SECOND_IF_ERROR(consumer->GetColumnNames(&col_names), {});
return VectorStringToChar(col_names);
}
std::vector<std::pair<std::vector<char>, std::vector<int32_t>>> Dataset::GetClassIndexingCharIF() {
std::vector<std::pair<std::string, std::vector<int32_t>>> output_class_indexing;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), {});
TreeGetters *consumer = tree_getters_.get();
if (consumer == nullptr) {
MS_LOG(ERROR) << "TreeGetters: Failed to get consumer.";
return std::vector<std::pair<std::vector<char>, std::vector<int32_t>>>();
}
runtime_context->AssignConsumer(tree_getters_);
RETURN_SECOND_IF_ERROR(consumer->Init(this->IRNode()), {});
RETURN_SECOND_IF_ERROR(consumer->GetClassIndexing(&output_class_indexing), {});
return ClassIndexStringToChar(output_class_indexing);
}
/// \brief Function to create a SchemaObj
/// \param[in] schema_file Path of schema file
/// \return Shared pointer to the current schema
std::shared_ptr<SchemaObj> SchemaCharIF(const std::vector<char> &schema_file) {
auto schema = std::make_shared<SchemaObj>(CharToString(schema_file));
return schema->Init() ? schema : nullptr;
}
// FUNCTIONS TO CREATE DATASETS FOR DATASET OPS
// (In alphabetical order)
// Function to create a Batch dataset
BatchDataset::BatchDataset(const std::shared_ptr<Dataset> &input, int32_t batch_size, bool drop_remainder) {
// Default values
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<BatchNode>(input->IRNode(), batch_size, drop_remainder);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
#ifndef ENABLE_ANDROID
// Function to create a BucketBatchByLength dataset
BucketBatchByLengthDataset::BucketBatchByLengthDataset(
const std::shared_ptr<Dataset> &input, const std::vector<std::vector<char>> &column_names,
const std::vector<int32_t> &bucket_boundaries, const std::vector<int32_t> &bucket_batch_sizes,
const std::function<MSTensorVec(MSTensorVec)> &element_length_function,
const std::map<std::vector<char>, std::pair<std::vector<int64_t>, MSTensor>> &pad_info, bool pad_to_bucket_boundary,
bool drop_remainder) {
std::shared_ptr<TensorOp> c_func = nullptr;
if (element_length_function != nullptr) {
c_func = std::make_shared<CFuncOp>(std::bind(FuncPtrConverter, element_length_function, std::placeholders::_1));
}
std::map<std::vector<char>, std::pair<TensorShape, std::shared_ptr<Tensor>>> map;
for (auto const &p : pad_info) {
const MSTensor &t = p.second.second;
std::shared_ptr<Tensor> rt;
Status rc = Tensor::CreateFromMemory(TensorShape(t.Shape()), MSTypeToDEType(static_cast<TypeId>(t.DataType())),
(const uchar *)(t.Data().get()), t.DataSize(), &rt);
if (rc.IsError()) {
MS_LOG_ERROR << "Fail to create DETensor from MSTensor for pad_info: " << rc.ToString() << ".";
map.clear();
break;
}
map.insert({p.first, {TensorShape(p.second.first), rt}});
}
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<BucketBatchByLengthNode>(
input->IRNode(), VectorCharToString(column_names), bucket_boundaries, bucket_batch_sizes, c_func,
PadInfoCharToString(map), pad_to_bucket_boundary, drop_remainder);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
ConcatDataset::ConcatDataset(const std::vector<std::shared_ptr<Dataset>> &datasets) {
std::vector<std::shared_ptr<DatasetNode>> all_datasets;
(void)std::transform(datasets.begin(), datasets.end(), std::back_inserter(all_datasets),
[](const std::shared_ptr<Dataset> &dataset) -> std::shared_ptr<DatasetNode> {
return (dataset != nullptr) ? dataset->IRNode() : nullptr;
});
auto ds = std::make_shared<ConcatNode>(all_datasets);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FilterDataset::FilterDataset(const std::shared_ptr<Dataset> &input,
const std::function<MSTensorVec(MSTensorVec)> &predicate,
const std::vector<std::vector<char>> &input_columns) {
std::shared_ptr<TensorOp> c_func = nullptr;
if (predicate) {
c_func = std::make_shared<CFuncOp>(std::bind(FuncPtrConverter, predicate, std::placeholders::_1));
}
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<FilterNode>(input->IRNode(), c_func, VectorCharToString(input_columns));
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
#endif
MapDataset::MapDataset(const std::shared_ptr<Dataset> &input,
const std::vector<std::shared_ptr<TensorOperation>> &operations,
const std::vector<std::vector<char>> &input_columns,
const std::vector<std::vector<char>> &output_columns,
const std::vector<std::vector<char>> &project_columns,
const std::shared_ptr<DatasetCache> &cache,
const std::vector<std::shared_ptr<DSCallback>> &callbacks) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<MapNode>(input->IRNode(), operations, VectorCharToString(input_columns),
VectorCharToString(output_columns), VectorCharToString(project_columns), cache,
callbacks);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
ProjectDataset::ProjectDataset(const std::shared_ptr<Dataset> &input, const std::vector<std::vector<char>> &columns) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<ProjectNode>(input->IRNode(), VectorCharToString(columns));
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
#ifndef ENABLE_ANDROID
RenameDataset::RenameDataset(const std::shared_ptr<Dataset> &input, const std::vector<std::vector<char>> &input_columns,
const std::vector<std::vector<char>> &output_columns) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<RenameNode>(input->IRNode(), VectorCharToString(input_columns),
VectorCharToString(output_columns));
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
#endif
RepeatDataset::RepeatDataset(const std::shared_ptr<Dataset> &input, int32_t count) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<RepeatNode>(input->IRNode(), count);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
ShuffleDataset::ShuffleDataset(const std::shared_ptr<Dataset> &input, int32_t buffer_size) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
// Pass in reshuffle_each_epoch with true
auto ds = std::make_shared<ShuffleNode>(input->IRNode(), buffer_size, true);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
#ifndef ENABLE_ANDROID
SkipDataset::SkipDataset(const std::shared_ptr<Dataset> &input, int32_t count) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<SkipNode>(input->IRNode(), count);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
TakeDataset::TakeDataset(const std::shared_ptr<Dataset> &input, int32_t count) {
if (input == nullptr) {
ir_node_ = nullptr;
} else {
auto ds = std::make_shared<TakeNode>(input->IRNode(), count);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
}
ZipDataset::ZipDataset(const std::vector<std::shared_ptr<Dataset>> &datasets) {
std::vector<std::shared_ptr<DatasetNode>> all_datasets;
(void)std::transform(datasets.begin(), datasets.end(), std::back_inserter(all_datasets),
[](const std::shared_ptr<Dataset> &dataset) -> std::shared_ptr<DatasetNode> {
return (dataset != nullptr) ? dataset->IRNode() : nullptr;
});
auto ds = std::make_shared<ZipNode>(all_datasets);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#endif
int64_t Dataset::GetBatchSize() {
int64_t batch_size = -1;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), -1);
RETURN_SECOND_IF_ERROR(tree_getters_->Init(this->IRNode()), -1);
RETURN_SECOND_IF_ERROR(tree_getters_->GetBatchSize(&batch_size), -1);
return batch_size;
}
int64_t Dataset::GetRepeatCount() {
int64_t repeat_count = 0;
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
RETURN_SECOND_IF_ERROR(runtime_context->Init(), -1);
RETURN_SECOND_IF_ERROR(tree_getters_->Init(this->IRNode()), 0);
RETURN_SECOND_IF_ERROR(tree_getters_->GetRepeatCount(&repeat_count), 0);
return repeat_count;
}
std::shared_ptr<Dataset> Dataset::SetNumWorkers(int32_t num_workers) {
if (ir_node_ == nullptr || ir_node_->SetNumWorkers(num_workers) == nullptr) {
return nullptr;
}
return shared_from_this();
}
#ifndef ENABLE_ANDROID
std::shared_ptr<SentencePieceVocab> Dataset::BuildSentencePieceVocabCharIF(
const std::vector<std::vector<char>> &col_names, int32_t vocab_size, float character_coverage,
SentencePieceModel model_type, const std::map<std::vector<char>, std::vector<char>> &params) {
auto vocab = std::make_shared<SentencePieceVocab>();
auto ds = std::make_shared<BuildSentenceVocabNode>(IRNode(), vocab, VectorCharToString(col_names), vocab_size,
character_coverage, model_type, UnorderedMapCharToString(params));
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
Status rc = runtime_context->Init();
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildSentencePieceVocab: Failed to init runtime context. Error status: " << rc;
return nullptr;
}
auto consumer = std::make_unique<BuildVocabConsumer>();
BuildVocabConsumer *bv_consumer = consumer.get();
if (bv_consumer == nullptr) {
MS_LOG(ERROR) << "BuildVocabConsumer: Failed to get bv_consumer.";
return nullptr;
}
rc = consumer->Init(ds);
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildSentencePieceVocab: Failed to init consumer. Error status: " << rc;
return nullptr;
}
runtime_context->AssignConsumer(std::move(consumer));
// Run tree here to starting building SentencePieceVocab
rc = bv_consumer->Start();
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildSentencePieceVocab: Failed to start consumer. Error status: " << rc;
return nullptr;
}
return vocab;
}
std::shared_ptr<Vocab> Dataset::BuildVocabCharIF(const std::vector<std::vector<char>> &columns,
const std::pair<int64_t, int64_t> &freq_range, int64_t top_k,
const std::vector<std::vector<char>> &special_tokens,
bool special_first) {
auto vocab = std::make_shared<Vocab>();
auto ds = std::make_shared<BuildVocabNode>(IRNode(), vocab, VectorCharToString(columns), freq_range, top_k,
VectorCharToString(special_tokens), special_first);
std::unique_ptr<NativeRuntimeContext> runtime_context = std::make_unique<NativeRuntimeContext>();
Status rc = runtime_context->Init();
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildVocab: Failed to init runtime context. Error status: " << rc;
return nullptr;
}
auto consumer = std::make_unique<BuildVocabConsumer>();
BuildVocabConsumer *bv_consumer = consumer.get();
if (bv_consumer == nullptr) {
MS_LOG(ERROR) << "BuildVocabConsumer: Failed to get bv_consumer.";
return nullptr;
}
rc = consumer->Init(ds);
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildVocab: Failed to init consumer. Error status: " << rc;
return nullptr;
}
runtime_context->AssignConsumer(std::move(consumer));
// Run tree here to starting building vocab
rc = bv_consumer->Start();
if (rc.IsError()) {
MS_LOG(ERROR) << "BuildVocab: Failed to start consumer. Error status: " << rc;
return nullptr;
}
return vocab;
}
#endif
std::shared_ptr<BatchDataset> Dataset::Batch(int32_t batch_size, bool drop_remainder) {
return std::make_shared<BatchDataset>(shared_from_this(), batch_size, drop_remainder);
}
struct SchemaObj::Data {
int32_t num_rows_;
std::string dataset_type_;
std::string schema_file_;
nlohmann::json columns_;
};
SchemaObj::SchemaObj(const std::vector<char> &schema_file) : data_(std::make_shared<Data>()) {
data_->schema_file_ = CharToString(schema_file);
data_->dataset_type_ = "";
data_->num_rows_ = 0;
}
// SchemaObj Init function
Status SchemaObj::Init() {
if (data_ != nullptr && !data_->schema_file_.empty()) {
std::string real_path;
RETURN_IF_NOT_OK(Path::RealPath(data_->schema_file_, real_path));
Path schema_file(real_path);
CHECK_FAIL_RETURN_UNEXPECTED(schema_file.Exists(),
"The file " + data_->schema_file_ + " does not exist or permission denied!");
nlohmann::json js;
try {
std::ifstream in(real_path);
in >> js;
CHECK_FAIL_RETURN_UNEXPECTED(js.find("columns") != js.end(),
"\"columns\" node is required in the schema json file.");
} catch (const std::exception &err) {
std::string err_msg = "Schema file failed to load: ";
LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
}
return from_json(js);
}
return Status::OK();
}
// Function to add a column to schema with a mstype de_type and known shape
Status SchemaObj::add_column_char(const std::vector<char> &name, mindspore::DataType de_type,
const std::vector<int32_t> &shape) {
DataType data_type = dataset::MSTypeToDEType(static_cast<TypeId>(de_type));
return add_column_char(name, StringToChar(data_type.ToString()), shape);
}
// Function to add a column to schema with a string de_type and known shape
Status SchemaObj::add_column_char(const std::vector<char> &name, const std::vector<char> &de_type,
const std::vector<int32_t> &shape) {
DataType data_type(CharToString(de_type));
CHECK_FAIL_RETURN_UNEXPECTED(data_type != DataType::DE_UNKNOWN, "Type is unknown.");
nlohmann::json new_column;
new_column["name"] = CharToString(name);
new_column["type"] = data_type.ToString();
new_column["shape"] = shape;
new_column["rank"] = shape.size();
data_->columns_.push_back(new_column);
return Status::OK();
}
// Function to add a column to schema with a mstype de_type and without shape
Status SchemaObj::add_column_char(const std::vector<char> &name, mindspore::DataType de_type) {
DataType data_type = dataset::MSTypeToDEType(static_cast<TypeId>(de_type));
return add_column_char(name, StringToChar(data_type.ToString()));
}
// Function to add a column to schema with a string de_type and without shape
Status SchemaObj::add_column_char(const std::vector<char> &name, const std::vector<char> &de_type) {
DataType data_type(CharToString(de_type));
CHECK_FAIL_RETURN_UNEXPECTED(data_type != DataType::DE_UNKNOWN, "Type is unknown.");
nlohmann::json new_column;
new_column["name"] = CharToString(name);
new_column["type"] = data_type.ToString();
new_column["rank"] = 1;
data_->columns_.push_back(new_column);
return Status::OK();
}
Status SchemaObj::schema_to_json(nlohmann::json *out_json) {
RETURN_UNEXPECTED_IF_NULL(out_json);
nlohmann::json json_file;
json_file["columns"] = data_->columns_;
std::string str_dataset_type_(data_->dataset_type_);
if (!str_dataset_type_.empty()) {
json_file["datasetType"] = str_dataset_type_;
}
if (data_->num_rows_ > 0) {
json_file["numRows"] = data_->num_rows_;
}
*out_json = json_file;
return Status::OK();
}
std::vector<char> SchemaObj::to_json_char() {
nlohmann::json json_file;
this->schema_to_json(&json_file);
return StringToChar(json_file.dump(2));
}
void SchemaObj::set_dataset_type(const std::string &dataset_type) { data_->dataset_type_ = dataset_type; }
void SchemaObj::set_num_rows(int32_t num_rows) { data_->num_rows_ = num_rows; }
int32_t SchemaObj::get_num_rows() const { return data_->num_rows_; }
Status SchemaObj::parse_column(nlohmann::json columns) {
std::string name, de_type;
std::vector<int32_t> shape;
data_->columns_.clear();
if (columns.type() == nlohmann::json::value_t::array) {
// reference to python list
for (auto column : columns) {
auto key_name = column.find("name");
if (key_name == column.end()) {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("Column's name is missing");
}
name = *key_name;
auto key_type = column.find("type");
if (key_type == column.end()) {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("Column's type is missing");
}
de_type = *key_type;
shape.clear();
auto key_shape = column.find("shape");
if (key_shape != column.end()) {
shape.insert(shape.end(), (*key_shape).begin(), (*key_shape).end());
}
RETURN_IF_NOT_OK(add_column(name, de_type, shape));
}
} else if (columns.type() == nlohmann::json::value_t::object) {
for (const auto &it_child : columns.items()) {
name = it_child.key();
auto key_type = it_child.value().find("type");
if (key_type == it_child.value().end()) {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("Column's type is missing");
}
de_type = *key_type;
shape.clear();
auto key_shape = it_child.value().find("shape");
if (key_shape != it_child.value().end()) {
shape.insert(shape.end(), (*key_shape).begin(), (*key_shape).end());
}
RETURN_IF_NOT_OK(add_column(name, de_type, shape));
}
} else {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("columns must be dict or list, columns contain name, type, shape(optional).");
}
return Status::OK();
}
Status SchemaObj::from_json(nlohmann::json json_obj) {
for (const auto &it_child : json_obj.items()) {
if (it_child.key() == "datasetType") {
std::string str_dataset_type_ = it_child.value();
data_->dataset_type_ = str_dataset_type_;
} else if (it_child.key() == "numRows") {
data_->num_rows_ = it_child.value();
} else if (it_child.key() == "columns") {
RETURN_IF_NOT_OK(parse_column(it_child.value()));
} else {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("Unknown field " + it_child.key());
}
}
if (data_->columns_.empty()) {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("Columns are missing.");
}
if (data_->num_rows_ < 0) {
LOG_AND_RETURN_STATUS_SYNTAX_ERROR("numRows must be greater than or equal to 0");
}
return Status::OK();
}
Status SchemaObj::FromJSONStringCharIF(const std::vector<char> &json_string) {
try {
nlohmann::json js = nlohmann::json::parse(CharToString(json_string));
CHECK_FAIL_RETURN_UNEXPECTED(js.find("columns") != js.end(),
"\"columns\" node is required in the schema json JSON.");
RETURN_IF_NOT_OK(from_json(js));
} catch (const std::exception &err) {
std::string err_msg = "FromJSONString: JSON string failed to parse: ";
err_msg += err.what();
LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
}
return Status::OK();
}
Status SchemaObj::ParseColumnStringCharIF(const std::vector<char> &json_string) {
try {
nlohmann::json js = nlohmann::json::parse(CharToString(json_string));
RETURN_IF_NOT_OK(parse_column(js));
} catch (const std::exception &err) {
std::string err_msg = "ParseColumnString: JSON string failed to parse: ";
err_msg += err.what();
LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
}
return Status::OK();
}
// OTHER FUNCTIONS
#ifndef ENABLE_ANDROID
std::shared_ptr<DatasetCache> CreateDatasetCacheCharIF(session_id_type id, uint64_t mem_sz, bool spill,
const std::optional<std::vector<char>> &hostname,
const std::optional<int32_t> &port,
const std::optional<int32_t> &num_connections,
const std::optional<int32_t> &prefetch_sz) {
auto cache = std::make_shared<DatasetCacheImpl>(id, mem_sz, spill, hostname, port, num_connections, prefetch_sz);
return cache;
}
AGNewsDataset::AGNewsDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<AGNewsNode>(CharToString(dataset_dir), num_samples, shuffle, CharToString(usage),
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#endif
AlbumDataset::AlbumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &data_schema,
const std::vector<std::vector<char>> &column_names, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<AlbumNode>(CharToString(dataset_dir), CharToString(data_schema),
VectorCharToString(column_names), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
AlbumDataset::AlbumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &data_schema,
const std::vector<std::vector<char>> &column_names, bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<AlbumNode>(CharToString(dataset_dir), CharToString(data_schema),
VectorCharToString(column_names), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
AlbumDataset::AlbumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &data_schema,
const std::vector<std::vector<char>> &column_names, bool decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<AlbumNode>(CharToString(dataset_dir), CharToString(data_schema),
VectorCharToString(column_names), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#ifndef ENABLE_ANDROID
AmazonReviewDataset::AmazonReviewDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<AmazonReviewNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Caltech256Dataset::Caltech256Dataset(const std::vector<char> &dataset_dir, bool decode,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Caltech256Node>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Caltech256Dataset::Caltech256Dataset(const std::vector<char> &dataset_dir, bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Caltech256Node>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Caltech256Dataset::Caltech256Dataset(const std::vector<char> &dataset_dir, bool decode,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<Caltech256Node>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CelebADataset::CelebADataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, bool decode,
const std::set<std::vector<char>> &extensions,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CelebANode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, decode,
SetCharToString(extensions), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CelebADataset::CelebADataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, bool decode, const std::set<std::vector<char>> &extensions,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CelebANode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, decode,
SetCharToString(extensions), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CelebADataset::CelebADataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler, bool decode,
const std::set<std::vector<char>> &extensions,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<CelebANode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, decode,
SetCharToString(extensions), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar10Dataset::Cifar10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Cifar10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar10Dataset::Cifar10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Cifar10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar10Dataset::Cifar10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<Cifar10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar100Dataset::Cifar100Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Cifar100Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar100Dataset::Cifar100Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<Cifar100Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Cifar100Dataset::Cifar100Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<Cifar100Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CityscapesDataset::CityscapesDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &quality_mode, const std::vector<char> &task, bool decode,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CityscapesNode>(CharToString(dataset_dir), CharToString(usage), CharToString(quality_mode),
CharToString(task), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CityscapesDataset::CityscapesDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &quality_mode, const std::vector<char> &task, bool decode,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CityscapesNode>(CharToString(dataset_dir), CharToString(usage), CharToString(quality_mode),
CharToString(task), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CityscapesDataset::CityscapesDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &quality_mode, const std::vector<char> &task, bool decode,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<CityscapesNode>(CharToString(dataset_dir), CharToString(usage), CharToString(quality_mode),
CharToString(task), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CLUEDataset::CLUEDataset(const std::vector<std::vector<char>> &dataset_files, const std::vector<char> &task,
const std::vector<char> &usage, int64_t num_samples, ShuffleMode shuffle, int32_t num_shards,
int32_t shard_id, const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<CLUENode>(VectorCharToString(dataset_files), CharToString(task), CharToString(usage),
num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CMUArcticDataset::CMUArcticDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CMUArcticNode>(CharToString(dataset_dir), CharToString(name), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CMUArcticDataset::CMUArcticDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CMUArcticNode>(CharToString(dataset_dir), CharToString(name), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CMUArcticDataset::CMUArcticDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<CMUArcticNode>(CharToString(dataset_dir), CharToString(name), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CocoDataset::CocoDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
const std::vector<char> &task, const bool &decode, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache, const bool &extra_metadata) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CocoNode>(CharToString(dataset_dir), CharToString(annotation_file), CharToString(task),
decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CocoDataset::CocoDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
const std::vector<char> &task, const bool &decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache, const bool &extra_metadata) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<CocoNode>(CharToString(dataset_dir), CharToString(annotation_file), CharToString(task),
decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CocoDataset::CocoDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
const std::vector<char> &task, const bool &decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache,
const bool &extra_metadata) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<CocoNode>(CharToString(dataset_dir), CharToString(annotation_file), CharToString(task),
decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CoNLL2000Dataset::CoNLL2000Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<CoNLL2000Node>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
CSVDataset::CSVDataset(const std::vector<std::vector<char>> &dataset_files, char field_delim,
const std::vector<std::shared_ptr<CsvBase>> &column_defaults,
const std::vector<std::vector<char>> &column_names, int64_t num_samples, ShuffleMode shuffle,
int32_t num_shards, int32_t shard_id, const std::shared_ptr<DatasetCache> &cache) {
auto ds =
std::make_shared<CSVNode>(VectorCharToString(dataset_files), field_delim, column_defaults,
VectorCharToString(column_names), num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
DBpediaDataset::DBpediaDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<DBpediaNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DBpediaNode>(ds);
}
DIV2KDataset::DIV2KDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &downgrade, int32_t scale, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<DIV2KNode>(CharToString(dataset_dir), CharToString(usage), CharToString(downgrade), scale,
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
DIV2KDataset::DIV2KDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &downgrade, int32_t scale, bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<DIV2KNode>(CharToString(dataset_dir), CharToString(usage), CharToString(downgrade), scale,
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
DIV2KDataset::DIV2KDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<char> &downgrade, int32_t scale, bool decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<DIV2KNode>(CharToString(dataset_dir), CharToString(usage), CharToString(downgrade), scale,
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
EMnistDataset::EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<EMnistNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
EMnistDataset::EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<EMnistNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
EMnistDataset::EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<EMnistNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
EnWik9Dataset::EnWik9Dataset(const std::vector<char> &dataset_dir, int64_t num_samples, ShuffleMode shuffle,
int32_t num_shards, int32_t shard_id, const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<EnWik9Node>(CharToString(dataset_dir), num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FakeImageDataset::FakeImageDataset(int32_t num_images, const std::vector<int32_t> &image_size, int32_t num_classes,
int32_t base_seed, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<FakeImageNode>(num_images, image_size, num_classes, base_seed, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FakeImageDataset::FakeImageDataset(int32_t num_images, const std::vector<int32_t> &image_size, int32_t num_classes,
int32_t base_seed, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<FakeImageNode>(num_images, image_size, num_classes, base_seed, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FakeImageDataset::FakeImageDataset(int32_t num_images, const std::vector<int32_t> &image_size, int32_t num_classes,
int32_t base_seed, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<FakeImageNode>(num_images, image_size, num_classes, base_seed, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FashionMnistDataset::FashionMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<FashionMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FashionMnistDataset::FashionMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<FashionMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FashionMnistDataset::FashionMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<FashionMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FlickrDataset::FlickrDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
bool decode, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds =
std::make_shared<FlickrNode>(CharToString(dataset_dir), CharToString(annotation_file), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FlickrDataset::FlickrDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
bool decode, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds =
std::make_shared<FlickrNode>(CharToString(dataset_dir), CharToString(annotation_file), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
FlickrDataset::FlickrDataset(const std::vector<char> &dataset_dir, const std::vector<char> &annotation_file,
bool decode, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds =
std::make_shared<FlickrNode>(CharToString(dataset_dir), CharToString(annotation_file), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
GTZANDataset::GTZANDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<GTZANNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
GTZANDataset::GTZANDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<GTZANNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
GTZANDataset::GTZANDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<GTZANNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ImageFolderDataset::ImageFolderDataset(const std::vector<char> &dataset_dir, bool decode,
const std::shared_ptr<Sampler> &sampler,
const std::set<std::vector<char>> &extensions,
const std::map<std::vector<char>, int32_t> &class_indexing,
const std::shared_ptr<DatasetCache> &cache) {
// This arg exists in ImageFolderOp, but not externalized (in Python API). The default value is false.
bool recursive = false;
// Create logical representation of ImageFolderDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<ImageFolderNode>(CharToString(dataset_dir), decode, sampler_obj, recursive,
SetCharToString(extensions), MapCharToString(class_indexing), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ImageFolderDataset::ImageFolderDataset(const std::vector<char> &dataset_dir, bool decode, const Sampler *sampler,
const std::set<std::vector<char>> &extensions,
const std::map<std::vector<char>, int32_t> &class_indexing,
const std::shared_ptr<DatasetCache> &cache) {
// This arg exists in ImageFolderOp, but not externalized (in Python API). The default value is false.
bool recursive = false;
// Create logical representation of ImageFolderDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<ImageFolderNode>(CharToString(dataset_dir), decode, sampler_obj, recursive,
SetCharToString(extensions), MapCharToString(class_indexing), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ImageFolderDataset::ImageFolderDataset(const std::vector<char> &dataset_dir, bool decode,
const std::reference_wrapper<Sampler> &sampler,
const std::set<std::vector<char>> &extensions,
const std::map<std::vector<char>, int32_t> &class_indexing,
const std::shared_ptr<DatasetCache> &cache) {
// This arg exists in ImageFolderOp, but not externalized (in Python API). The default value is false.
bool recursive = false;
// Create logical representation of ImageFolderDataset.
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<ImageFolderNode>(CharToString(dataset_dir), decode, sampler_obj, recursive,
SetCharToString(extensions), MapCharToString(class_indexing), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
IMDBDataset::IMDBDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of IMDBDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<IMDBNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
IMDBDataset::IMDBDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of IMDBDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<IMDBNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
IMDBDataset::IMDBDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of IMDBDataset.
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<IMDBNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
IWSLT2016Dataset::IWSLT2016Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &language_pair,
const std::vector<char> &valid_set, const std::vector<char> &test_set,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<IWSLT2016Node>(CharToString(dataset_dir), CharToString(usage),
VectorCharToString(language_pair), CharToString(valid_set),
CharToString(test_set), num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
IWSLT2017Dataset::IWSLT2017Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &language_pair, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds =
std::make_shared<IWSLT2017Node>(CharToString(dataset_dir), CharToString(usage), VectorCharToString(language_pair),
num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KITTIDataset::KITTIDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<KITTINode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KITTIDataset::KITTIDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<KITTINode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KITTIDataset::KITTIDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<KITTINode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KMnistDataset::KMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<KMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KMnistDataset::KMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<KMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
KMnistDataset::KMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<KMnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LFWDataset::LFWDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::vector<char> &image_set, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LFWDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LFWNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
CharToString(image_set), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LFWDataset::LFWDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::vector<char> &image_set, bool decode,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LFWDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LFWNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
CharToString(image_set), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LFWDataset::LFWDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::vector<char> &image_set, bool decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LFWDataset.
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<LFWNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
CharToString(image_set), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LibriTTSDataset::LibriTTSDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LibriTTSNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LibriTTSDataset::LibriTTSDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LibriTTSNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LibriTTSDataset::LibriTTSDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<LibriTTSNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LJSpeechDataset::LJSpeechDataset(const std::vector<char> &dataset_dir, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LJSpeechNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LJSpeechDataset::LJSpeechDataset(const std::vector<char> &dataset_dir, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LJSpeechNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LJSpeechDataset::LJSpeechDataset(const std::vector<char> &dataset_dir, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<LJSpeechNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LSUNDataset::LSUNDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &classes, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LSUNDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LSUNNode>(CharToString(dataset_dir), CharToString(usage), VectorCharToString(classes),
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LSUNDataset::LSUNDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &classes, bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LSUNDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<LSUNNode>(CharToString(dataset_dir), CharToString(usage), VectorCharToString(classes),
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
LSUNDataset::LSUNDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &classes, bool decode,
const std::reference_wrapper<Sampler> sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of LSUNDataset.
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<LSUNNode>(CharToString(dataset_dir), CharToString(usage), VectorCharToString(classes),
decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ManifestDataset::ManifestDataset(const std::vector<char> &dataset_file, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler,
const std::map<std::vector<char>, int32_t> &class_indexing, bool decode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<ManifestNode>(CharToString(dataset_file), CharToString(usage), sampler_obj,
MapCharToString(class_indexing), decode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ManifestDataset::ManifestDataset(const std::vector<char> &dataset_file, const std::vector<char> &usage,
const Sampler *sampler, const std::map<std::vector<char>, int32_t> &class_indexing,
bool decode, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<ManifestNode>(CharToString(dataset_file), CharToString(usage), sampler_obj,
MapCharToString(class_indexing), decode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
ManifestDataset::ManifestDataset(const std::vector<char> &dataset_file, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::map<std::vector<char>, int32_t> &class_indexing, bool decode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<ManifestNode>(CharToString(dataset_file), CharToString(usage), sampler_obj,
MapCharToString(class_indexing), decode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<char> &dataset_file,
const std::vector<std::vector<char>> &columns_list,
const std::shared_ptr<Sampler> &sampler, const nlohmann::json *padded_sample,
int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(CharToString(dataset_file), VectorCharToString(columns_list), sampler_obj,
sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<char> &dataset_file,
const std::vector<std::vector<char>> &columns_list, const Sampler *sampler,
const nlohmann::json *padded_sample, int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(CharToString(dataset_file), VectorCharToString(columns_list), sampler_obj,
sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<char> &dataset_file,
const std::vector<std::vector<char>> &columns_list,
const std::reference_wrapper<Sampler> &sampler, const nlohmann::json *padded_sample,
int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(CharToString(dataset_file), VectorCharToString(columns_list), sampler_obj,
sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<std::vector<char>> &dataset_files,
const std::vector<std::vector<char>> &columns_list,
const std::shared_ptr<Sampler> &sampler, const nlohmann::json *padded_sample,
int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(VectorCharToString(dataset_files), VectorCharToString(columns_list),
sampler_obj, sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<std::vector<char>> &dataset_files,
const std::vector<std::vector<char>> &columns_list, const Sampler *sampler,
const nlohmann::json *padded_sample, int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(VectorCharToString(dataset_files), VectorCharToString(columns_list),
sampler_obj, sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MindDataDataset::MindDataDataset(const std::vector<std::vector<char>> &dataset_files,
const std::vector<std::vector<char>> &columns_list,
const std::reference_wrapper<Sampler> &sampler, const nlohmann::json *padded_sample,
int64_t num_padded, ShuffleMode shuffle_mode,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
nlohmann::json sample = nullptr;
if (padded_sample) {
sample = *padded_sample;
}
auto ds = std::make_shared<MindDataNode>(VectorCharToString(dataset_files), VectorCharToString(columns_list),
sampler_obj, sample, num_padded, shuffle_mode, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#endif
MnistDataset::MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<MnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MnistDataset::MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<MnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
MnistDataset::MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<MnistNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#ifndef ENABLE_ANDROID
Multi30kDataset::Multi30kDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::vector<std::vector<char>> &language_pair, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds =
std::make_shared<Multi30kNode>(CharToString(dataset_dir), CharToString(usage), VectorCharToString(language_pair),
num_samples, shuffle, num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<Multi30kNode>(ds);
}
OmniglotDataset::OmniglotDataset(const std::vector<char> &dataset_dir, bool background, bool decode,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of OmniglotDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<OmniglotNode>(CharToString(dataset_dir), background, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
OmniglotDataset::OmniglotDataset(const std::vector<char> &dataset_dir, bool background, bool decode,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of OmniglotDataset.
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<OmniglotNode>(CharToString(dataset_dir), background, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
OmniglotDataset::OmniglotDataset(const std::vector<char> &dataset_dir, bool background, bool decode,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
// Create logical representation of OmniglotDataset.
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<OmniglotNode>(CharToString(dataset_dir), background, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
PennTreebankDataset::PennTreebankDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<PennTreebankNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
PhotoTourDataset::PhotoTourDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<PhotoTourNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
PhotoTourDataset::PhotoTourDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<PhotoTourNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
PhotoTourDataset::PhotoTourDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name,
const std::vector<char> &usage, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<PhotoTourNode>(CharToString(dataset_dir), CharToString(name), CharToString(usage),
sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Places365Dataset::Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const bool small, const bool decode, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds =
std::make_shared<Places365Node>(CharToString(dataset_dir), CharToString(usage), small, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Places365Dataset::Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const bool small, const bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds =
std::make_shared<Places365Node>(CharToString(dataset_dir), CharToString(usage), small, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
Places365Dataset::Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const bool small, const bool decode, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds =
std::make_shared<Places365Node>(CharToString(dataset_dir), CharToString(usage), small, decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
QMnistDataset::QMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool compat,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<QMnistNode>(CharToString(dataset_dir), CharToString(usage), compat, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
QMnistDataset::QMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool compat,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<QMnistNode>(CharToString(dataset_dir), CharToString(usage), compat, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
QMnistDataset::QMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool compat,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<QMnistNode>(CharToString(dataset_dir), CharToString(usage), compat, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SemeionDataset::SemeionDataset(const std::vector<char> &dataset_dir, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SemeionNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SemeionDataset::SemeionDataset(const std::vector<char> &dataset_dir, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SemeionNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SemeionDataset::SemeionDataset(const std::vector<char> &dataset_dir, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<SemeionNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SQuADDataset::SQuADDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<SQuADNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TedliumDataset::TedliumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &release,
const std::vector<char> &usage, const std::vector<char> &extensions,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<TedliumNode>(CharToString(dataset_dir), CharToString(release), CharToString(usage),
CharToString(extensions), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TedliumDataset::TedliumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &release,
const std::vector<char> &usage, const std::vector<char> &extensions,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<TedliumNode>(CharToString(dataset_dir), CharToString(release), CharToString(usage),
CharToString(extensions), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TedliumDataset::TedliumDataset(const std::vector<char> &dataset_dir, const std::vector<char> &release,
const std::vector<char> &usage, const std::vector<char> &extensions,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<TedliumNode>(CharToString(dataset_dir), CharToString(release), CharToString(usage),
CharToString(extensions), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
STL10Dataset::STL10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<STL10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
STL10Dataset::STL10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<STL10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
STL10Dataset::STL10Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<STL10Node>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TextFileDataset::TextFileDataset(const std::vector<std::vector<char>> &dataset_files, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<TextFileNode>(VectorCharToString(dataset_files), num_samples, shuffle, num_shards,
shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
USPSDataset::USPSDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<USPSNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle, num_shards,
shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
VOCDataset::VOCDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::map<std::vector<char>, int32_t> &class_indexing,
bool decode, const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache,
bool extra_metadata) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<VOCNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
MapCharToString(class_indexing), decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
VOCDataset::VOCDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::map<std::vector<char>, int32_t> &class_indexing,
bool decode, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache,
bool extra_metadata) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<VOCNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
MapCharToString(class_indexing), decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
VOCDataset::VOCDataset(const std::vector<char> &dataset_dir, const std::vector<char> &task,
const std::vector<char> &usage, const std::map<std::vector<char>, int32_t> &class_indexing,
bool decode, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache, bool extra_metadata) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<VOCNode>(CharToString(dataset_dir), CharToString(task), CharToString(usage),
MapCharToString(class_indexing), decode, sampler_obj, cache, extra_metadata);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
WikiTextDataset::WikiTextDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<WikiTextNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
RandomDataDataset::RandomDataDataset(const int32_t &total_rows, std::shared_ptr<SchemaObj> schema,
const std::vector<std::vector<char>> &columns_list,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<RandomNode>(total_rows, std::move(schema), VectorCharToString(columns_list), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
RandomDataDataset::RandomDataDataset(const int32_t &total_rows, const std::vector<char> &schema_path,
const std::vector<std::vector<char>> &columns_list,
const std::shared_ptr<DatasetCache> &cache) {
auto ds =
std::make_shared<RandomNode>(total_rows, CharToString(schema_path), VectorCharToString(columns_list), cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SBUDataset::SBUDataset(const std::vector<char> &dataset_dir, bool decode, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SBUNode>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SBUDataset::SBUDataset(const std::vector<char> &dataset_dir, bool decode, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SBUNode>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SBUDataset::SBUDataset(const std::vector<char> &dataset_dir, bool decode,
const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<SBUNode>(CharToString(dataset_dir), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SogouNewsDataset::SogouNewsDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<SogouNewsNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SpeechCommandsDataset::SpeechCommandsDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SpeechCommandsNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SpeechCommandsDataset::SpeechCommandsDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<SpeechCommandsNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
SpeechCommandsDataset::SpeechCommandsDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<SpeechCommandsNode>(CharToString(dataset_dir), CharToString(usage), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TFRecordDataset::TFRecordDataset(const std::vector<std::vector<char>> &dataset_files, const std::vector<char> &schema,
const std::vector<std::vector<char>> &columns_list, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id, bool shard_equal_rows,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<TFRecordNode>(VectorCharToString(dataset_files), CharToString(schema),
VectorCharToString(columns_list), num_samples, shuffle, num_shards, shard_id,
shard_equal_rows, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
TFRecordDataset::TFRecordDataset(const std::vector<std::vector<char>> &dataset_files,
const std::shared_ptr<SchemaObj> &schema,
const std::vector<std::vector<char>> &columns_list, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id, bool shard_equal_rows,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<TFRecordNode>(VectorCharToString(dataset_files), schema, VectorCharToString(columns_list),
num_samples, shuffle, num_shards, shard_id, shard_equal_rows, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
UDPOSDataset::UDPOSDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, int64_t num_samples,
ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<UDPOSNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<UDPOSNode>(ds);
}
WIDERFaceDataset::WIDERFaceDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<WIDERFaceNode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
WIDERFaceDataset::WIDERFaceDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<WIDERFaceNode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
WIDERFaceDataset::WIDERFaceDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool decode,
const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<WIDERFaceNode>(CharToString(dataset_dir), CharToString(usage), decode, sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
YahooAnswersDataset::YahooAnswersDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<YahooAnswersNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<YahooAnswersNode>(ds);
}
YelpReviewDataset::YelpReviewDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage,
int64_t num_samples, ShuffleMode shuffle, int32_t num_shards, int32_t shard_id,
const std::shared_ptr<DatasetCache> &cache) {
auto ds = std::make_shared<YelpReviewNode>(CharToString(dataset_dir), CharToString(usage), num_samples, shuffle,
num_shards, shard_id, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
YesNoDataset::YesNoDataset(const std::vector<char> &dataset_dir, const std::shared_ptr<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<YesNoNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
YesNoDataset::YesNoDataset(const std::vector<char> &dataset_dir, const Sampler *sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler ? sampler->Parse() : nullptr;
auto ds = std::make_shared<YesNoNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
YesNoDataset::YesNoDataset(const std::vector<char> &dataset_dir, const std::reference_wrapper<Sampler> &sampler,
const std::shared_ptr<DatasetCache> &cache) {
auto sampler_obj = sampler.get().Parse();
auto ds = std::make_shared<YesNoNode>(CharToString(dataset_dir), sampler_obj, cache);
ir_node_ = std::static_pointer_cast<DatasetNode>(ds);
}
#endif
} // namespace dataset
} // namespace mindspore