LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
lbann::cifar10_reader Class Reference

#include <data_reader_cifar10.hpp>

Inheritance diagram for lbann::cifar10_reader:
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Collaboration diagram for lbann::cifar10_reader:
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Public Member Functions

 cifar10_reader (bool shuffle=true)
 
 cifar10_reader (const cifar10_reader &)=default
 
cifar10_readeroperator= (const cifar10_reader &)=default
 
 ~cifar10_reader () override
 
cifar10_readercopy () const override
 
std::string get_type () const override
 
void set_input_params (const int, const int, const int, const int) override
 
void load () override
 
- Public Member Functions inherited from lbann::image_data_reader
 image_data_reader (bool shuffle=true)
 
 image_data_reader (const image_data_reader &)
 
image_data_readeroperator= (const image_data_reader &)
 
void load () override
 
void setup (int num_io_threads, observer_ptr< thread_pool > io_thread_pool) override
 
int get_num_labels () const override
 Return the number of labels (classes) in this dataset. More...
 
virtual int get_image_width () const
 
virtual int get_image_height () const
 
virtual int get_image_num_channels () const
 
int get_linearized_data_size () const override
 Get the total number of channel values in a sample of image(s). More...
 
int get_linearized_label_size () const override
 Get the linearized size (i.e. number of elements) in a label. More...
 
const std::vector< El::Int > get_data_dims () const override
 Get the dimensions of the data. More...
 
const sample_list_tget_sample_list () const
 Allow read-only access to the entire sample list. More...
 
sample_t get_sample (const size_t idx) const
 
void do_preload_data_store () override
 
void load_conduit_node_from_file (int data_id, conduit::Node &node)
 
- Public Member Functions inherited from lbann::generic_data_reader
 generic_data_reader (bool shuffle=true)
 
 generic_data_reader (const generic_data_reader &)=default
 
generic_data_readeroperator= (const generic_data_reader &)=default
 
virtual ~generic_data_reader ()
 
template<class Archive >
void serialize (Archive &ar)
 
void set_comm (lbann_comm *comm)
 set the comm object More...
 
lbann_commget_comm () const
 returns a (possibly nullptr) to comm More...
 
virtual bool has_conduit_output ()
 
void set_file_dir (std::string s)
 
void set_local_file_dir (std::string s)
 
void set_max_files_to_load (size_t n)
 
std::string get_file_dir () const
 
std::string get_local_file_dir () const
 
void set_data_sample_list (std::string s)
 
std::string get_data_sample_list () const
 
void keep_sample_order (bool same_order=false)
 
void set_data_filename (std::string s)
 
std::string get_data_filename () const
 
void set_label_filename (std::string s)
 
std::string get_label_filename () const
 
void set_shuffle (bool b)
 
bool is_shuffled () const
 
void set_shuffled_indices (const std::vector< int > &indices)
 
const std::vector< int > & get_shuffled_indices () const
 
void set_first_n (int n)
 
void set_absolute_sample_count (size_t s)
 
void set_use_fraction (double s)
 
virtual void set_execution_mode_split_fraction (execution_mode m, double s)
 
virtual void set_role (std::string role)
 
std::string get_role () const
 
int fetch (std::map< data_field_type, CPUMat *> &input_buffers, El::Matrix< El::Int > &indices_fetched, size_t mb_size)
 Fetch a mini-batch worth of data, including samples, labels, responses (as appropriate) More...
 
int fetch (std::vector< conduit::Node > &samples, El::Matrix< El::Int > &indices_fetched, size_t mb_size)
 
virtual bool has_data_field (data_field_type data_field) const
 Check to see if the data reader supports this specific data field. More...
 
virtual bool has_labels () const
 
virtual bool has_responses () const
 
void set_has_data_field (data_field_type const data_field, const bool b)
 Whether or not a data reader has a data field. More...
 
virtual void set_has_labels (const bool b)
 Whether or not a data reader has labels. More...
 
virtual void set_has_responses (const bool b)
 Whether or not a data reader has a response field. More...
 
void start_data_store_mini_batch_exchange ()
 
void finish_data_store_mini_batch_exchange ()
 
virtual bool update (bool is_active_reader)
 
virtual int get_num_responses () const
 Return the number of responses in this dataset. More...
 
virtual int get_linearized_response_size () const
 Get the linearized size (i.e. number of elements) in a response. More...
 
virtual int get_linearized_size (data_field_type const &data_field) const
 get the linearized size of what is identified by desc. More...
 
virtual std::vector< El::Int > get_slice_points (const slice_points_mode var_category, bool &is_supported)
 
virtual bool position_valid () const
 True if the data reader's current position is valid. More...
 
virtual bool position_is_overrun () const
 
bool at_new_epoch () const
 True if the data reader is at the start of an epoch. More...
 
void set_mini_batch_size (const int s)
 Set the mini batch size. More...
 
int get_mini_batch_size () const
 Get the mini batch size. More...
 
int get_loaded_mini_batch_size () const
 Get the loaded mini-batch size. More...
 
int get_current_mini_batch_size () const
 Get the current mini-batch size. More...
 
int get_mini_batch_max () const
 Return the full mini_batch_size. More...
 
void set_stride_to_next_mini_batch (const int s)
 Set the mini batch stride. More...
 
int get_stride_to_next_mini_batch () const
 Return the mini batch stride. More...
 
void set_sample_stride (const int s)
 Set the sample stride. More...
 
int get_sample_stride () const
 Return the sample stride. More...
 
void set_iteration_stride (const int s)
 Set the iteration stride. More...
 
int get_iteration_stride () const
 Return the iteration stride. More...
 
virtual void set_base_offset (const int s)
 Return the base offset. More...
 
int get_base_offset () const
 Return the base offset. More...
 
void set_last_mini_batch_size (const int s)
 Set the last mini batch size. More...
 
int get_last_mini_batch_size () const
 Return the last mini batch size. More...
 
void set_stride_to_last_mini_batch (const int s)
 Set the last mini batch stride. More...
 
int get_stride_to_last_mini_batch () const
 Return the last mini batch stride. More...
 
void set_num_parallel_readers (const int s)
 Set the number of parallel readers per model. More...
 
int get_num_parallel_readers () const
 Return the number of parallel readers per model. More...
 
virtual void set_reset_mini_batch_index (const int s)
 Set the starting mini-batch index for the epoch. More...
 
int get_reset_mini_batch_index () const
 Return the starting mini-batch index for the epoch. More...
 
int get_loaded_mini_batch_index () const
 Return the current mini-batch index for the epoch. More...
 
int get_current_mini_batch_index () const
 Return the current mini-batch index for the epoch. More...
 
void set_initial_position ()
 Set the current position based on the base and model offsets. More...
 
int get_position () const
 Get the current position in the data reader. More...
 
int get_next_position () const
 Get the next position in the data reader. More...
 
int * get_indices ()
 Get a pointer to the start of the shuffled indices. More...
 
virtual int get_num_data () const
 Get the number of samples in this dataset. More...
 
int get_num_unused_data (execution_mode m) const
 Get the number of unused samples in this dataset. More...
 
int * get_unused_data (execution_mode m)
 Get a pointer to the start of the unused sample indices. More...
 
const std::vector< int > & get_unused_indices (execution_mode m)
 
void set_num_iterations_per_epoch (int num_iterations_per_epoch)
 Set the number of iterations in each epoch. More...
 
int get_num_iterations_per_epoch () const
 Get the number of iterations in each epoch. More...
 
int get_current_step_in_epoch () const
 
void resize_shuffled_indices ()
 
void select_subset_of_data ()
 
virtual void use_unused_index_set (execution_mode m)
 
virtual bool has_list_per_model () const
 Does the data reader have a unique sample list per model. More...
 
virtual bool has_list_per_trainer () const
 Does the data reader have a unique sample list per trainer. More...
 
bool save_to_checkpoint_shared (persist &p, execution_mode mode)
 Given directory to store checkpoint files, write state to file and add to number of bytes written. More...
 
bool load_from_checkpoint_shared (persist &p, execution_mode mode)
 Given directory to store checkpoint files, read state from file and add to number of bytes read. More...
 
bool save_to_checkpoint_distributed (persist &p, execution_mode mode)
 
bool load_from_checkpoint_distributed (persist &p, execution_mode mode)
 Given directory to store checkpoint files, read state from file and add to number of bytes read. More...
 
const data_store_conduitget_data_store () const
 returns a const ref to the data store More...
 
data_store_conduitget_data_store ()
 returns a non-const ref to the data store More...
 
data_store_conduitget_data_store_ptr () const
 
void setup_data_store (int mini_batch_size)
 
void instantiate_data_store ()
 
virtual void preload_data_store ()
 
void set_gan_labelling (bool has_gan_labelling)
 
void set_gan_label_value (int gan_label_value)
 
void set_data_store (data_store_conduit *g)
 support of data store functionality More...
 
virtual bool data_store_active () const
 
virtual bool priming_data_store () const
 
virtual void post_update ()
 
void set_transform_pipeline (transform::transform_pipeline &&tp)
 
void print_get_methods (const std::string filename)
 Print the return values from various get_X methods to file. More...
 
size_t get_num_indices_to_use () const
 
void set_use_data_store (bool s)
 

Protected Member Functions

void set_defaults () override
 
bool fetch_datum (CPUMat &X, int data_id, int mb_idx) override
 
bool fetch_label (CPUMat &Y, int data_id, int mb_idx) override
 
- Protected Member Functions inherited from lbann::image_data_reader
void copy_members (const image_data_reader &rhs)
 
bool fetch_label (Mat &Y, int data_id, int mb_idx) override
 
void set_linearized_image_size ()
 
void dump_sample_label_list (const std::string &dump_file_name)
 
void load_list_of_samples (const std::string filename)
 Rely on pre-determined list of samples. More...
 
void load_list_of_samples_from_archive (const std::string &sample_list_archive)
 Load the sample list from a serialized archive from another rank. More...
 
void gen_list_of_samples ()
 
void load_labels (std::vector< char > &preloaded_buffer)
 Load the labels for samples. More...
 
void read_labels (std::istream &istrm)
 Read the labels from an open input stream. More...
 
size_t determine_num_of_samples (std::istream &istrm) const
 Return the number of lines in the input stream. More...
 
bool load_conduit_nodes_from_file (const std::unordered_set< int > &data_ids)
 
- Protected Member Functions inherited from lbann::generic_data_reader
size_t get_absolute_sample_count () const
 
double get_use_fraction () const
 
double get_execution_mode_split_fraction (execution_mode m) const
 
virtual bool fetch_data_block (std::map< data_field_type, CPUMat *> &input_buffers, El::Int block_offset, El::Int block_stride, El::Int mb_size, El::Matrix< El::Int > &indices_fetched)
 
bool fetch_data_block_conduit (std::vector< conduit::Node > &samples, El::Int block_offset, El::Int block_stride, El::Int mb_size, El::Matrix< El::Int > &indices_fetched)
 
virtual bool fetch_data_field (data_field_type data_field, CPUMat &Y, int data_id, int mb_idx)
 Called by fetch_data, fetch_label, fetch_response. More...
 
virtual bool fetch_conduit_node (conduit::Node &sample, int data_id)
 
virtual bool fetch_response (CPUMat &Y, int data_id, int mb_idx)
 
CPUMat create_datum_view (CPUMat &X, const int mb_idx)
 
virtual void preprocess_data_source (int tid)
 
virtual void postprocess_data_source (int tid)
 
virtual void shuffle_indices ()
 Shuffle indices (uses the data_seq_generator) More...
 
virtual void shuffle_indices (rng_gen &gen)
 Shuffle indices and profide a random number generator. More...
 
void error_check_counts () const
 

Private Attributes

std::vector< std::vector< unsigned char > > m_images
 
std::vector< uint8_t > m_labels
 

Additional Inherited Members

- Public Types inherited from lbann::image_data_reader
using img_src_t = std::string
 
using label_t = int
 
using sample_t = std::pair< img_src_t, label_t >
 
using sample_name_t = img_src_t
 
using sample_list_t = sample_list< sample_name_t >
 
using sample_idx_t = sample_list_t::sample_idx_t
 
using labels_t = std::vector< label_t >
 
- Public Types inherited from lbann::generic_data_reader
using unused_index_map_t = std::map< execution_mode, std::vector< int > >
 
- Public Attributes inherited from lbann::generic_data_reader
int m_mini_batch_size
 
int m_current_pos
 
int m_stride_to_next_mini_batch
 
int m_base_offset
 
int m_sample_stride
 
int m_iteration_stride
 Stride used by parallel data readers within the model. More...
 
std::vector< int > m_shuffled_indices
 
unused_index_map_t m_unused_indices
 Record of the indicies that are not being used for training. More...
 
int m_last_mini_batch_size
 
int m_stride_to_last_mini_batch
 
int m_reset_mini_batch_index
 The index at which this data reader starts its epoch. More...
 
int m_loaded_mini_batch_idx
 The index of the current mini-batch that has been loaded. More...
 
int m_current_mini_batch_idx
 
int m_num_iterations_per_epoch
 
int m_num_parallel_readers
 How many iterations all readers will execute. More...
 
size_t m_max_files_to_load
 How many parallel readers are being used. More...
 
std::string m_file_dir
 
std::string m_local_file_dir
 
std::string m_data_sample_list
 
std::string m_data_fn
 
std::string m_label_fn
 
bool m_shuffle
 
size_t m_absolute_sample_count
 
std::map< execution_mode, double > m_execution_mode_split_fraction
 
double m_use_fraction
 
int m_first_n
 
std::string m_role
 
- Protected Attributes inherited from lbann::image_data_reader
std::string m_image_dir
 where images are stored More...
 
int m_image_width
 image width More...
 
int m_image_height
 image height More...
 
int m_image_num_channels
 number of image channels More...
 
int m_image_linearized_size
 linearized image size More...
 
int m_num_labels
 number of labels More...
 
sample_list_t m_sample_list
 
labels_t m_labels
 
- Protected Attributes inherited from lbann::generic_data_reader
bool m_verbose = false
 
std::unordered_set< int > m_using_random_node
 
data_store_conduitm_data_store
 
lbann_commm_comm
 
bool m_use_data_store = false
 
std::map< data_field_type, bool > m_supported_input_types
 Holds a true value for each input data type that is supported. Use an ordered map so that checkpoints are stable. More...
 
bool m_gan_labelling
 
int m_gan_label_value
 
observer_ptr< thread_poolm_io_thread_pool
 
bool m_keep_sample_order
 
transform::transform_pipeline m_transform_pipeline
 
bool m_issue_warning
 

Detailed Description

A data reader for the CIFAR-10/100 datasets.

This requires the binary distributions of the datasets, which must retain their original filenames. CIFAR-10 vs -100 is inferred by the number of labels set.

Note
This does not store the coarse labels from CIFAR-100.

See: https://www.cs.toronto.edu/~kriz/cifar.html

Definition at line 47 of file data_reader_cifar10.hpp.

Constructor & Destructor Documentation

◆ cifar10_reader() [1/2]

lbann::cifar10_reader::cifar10_reader ( bool  shuffle = true)
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◆ cifar10_reader() [2/2]

lbann::cifar10_reader::cifar10_reader ( const cifar10_reader )
default

◆ ~cifar10_reader()

lbann::cifar10_reader::~cifar10_reader ( )
override

Member Function Documentation

◆ copy()

cifar10_reader* lbann::cifar10_reader::copy ( ) const
inlineoverridevirtual

Implements lbann::generic_data_reader.

Definition at line 56 of file data_reader_cifar10.hpp.

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◆ fetch_datum()

bool lbann::cifar10_reader::fetch_datum ( CPUMat X,
int  data_id,
int  mb_idx 
)
overrideprotectedvirtual

Fetch a single sample into a matrix.

Parameters
XThe matrix to load data into.
data_idThe index of the datum to fetch.
mb_idxThe index within the mini-batch.

Reimplemented from lbann::generic_data_reader.

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◆ fetch_label()

bool lbann::cifar10_reader::fetch_label ( CPUMat Y,
int  data_id,
int  mb_idx 
)
overrideprotectedvirtual

Fetch a single label into a matrix.

Parameters
YThe matrix to load data into.
data_idThe index of the datum to fetch.
mb_idxThe index within the mini-batch.

Reimplemented from lbann::generic_data_reader.

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◆ get_type()

std::string lbann::cifar10_reader::get_type ( ) const
inlineoverridevirtual

Return this data_reader's type

Implements lbann::generic_data_reader.

Definition at line 58 of file data_reader_cifar10.hpp.

◆ load()

void lbann::cifar10_reader::load ( )
overridevirtual

Load the dataset. Each data reader implementation should implement this to initialize its internal data structures, determine the number of samples and their dimensionality (if needed), and set up and shuffle samples.

Implements lbann::generic_data_reader.

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◆ operator=()

cifar10_reader& lbann::cifar10_reader::operator= ( const cifar10_reader )
default

◆ set_defaults()

void lbann::cifar10_reader::set_defaults ( )
overrideprotectedvirtual

Set the default values for the width, the height, the number of channels, and the number of labels of an image

Reimplemented from lbann::image_data_reader.

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◆ set_input_params()

void lbann::cifar10_reader::set_input_params ( const int  width,
const int  height,
const int  num_ch,
const int  num_labels 
)
inlineoverridevirtual

Set up imagenet specific input parameters If argument is set to 0, then this method does not change the value of the corresponding parameter. However, width and height can only be both zero or both non-zero.

Reimplemented from lbann::image_data_reader.

Definition at line 60 of file data_reader_cifar10.hpp.

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Member Data Documentation

◆ m_images

std::vector<std::vector<unsigned char> > lbann::cifar10_reader::m_images
private

Loaded image data. This will be stored in "OpenCV" format for ease of preprocessing.

Definition at line 76 of file data_reader_cifar10.hpp.

◆ m_labels

std::vector<uint8_t> lbann::cifar10_reader::m_labels
private

Loaded label information.

Definition at line 78 of file data_reader_cifar10.hpp.


The documentation for this class was generated from the following file: