modelzoo.transformers.data_processing.scripts.hdf5_preprocessing.utils#

Functions

`add_common_args`	For the argparse to parse arguments for subcommands, we add common command line arguments to each subcommand parser here.
`collect_stats`	Collect statistics of the dataset.
`create_features_auto_lm`	Given a list of token_ids, generate input sequence and labels.
`create_features_summarization`	Given a list of prompt_ids and completion_ids, generate input sequence and labels.
`dump_args`	Write the input params to file.
`dump_result`	Write outputs of execution
`get_files`	Get all files of given filetypes from input directory.
`get_params`	Retrieve configuration parameters :returns:
`get_parser`	Argparser definition for command line arguments from user.
`get_verification_args`	Get arguments for verifying HDF5 dataset. :param params: Dictionary containing parameters for verifying HDF5 dataset. :type params: dict :param data_processor: Class containing methods that specify how the dataset will be processed and written into HDF5 files.
`handle_jsonl`
`process_dataset`	Process a dataset and write it into HDF5 format.
`read_checkpoint`	Checkpoint reader for execution.
`set_defaults`
`update_params`	Update config parameters with CLI arguments
`validate_tokens`
`verify_saved_hdf5_files`	This function is used to do sanity checks at the end of the creation of hdf5 files. This function loads every .h5 files generated and checks: 1. The data type 2. Shape of the dataset 3. Fact that labels and inputs are as expected.
`verify_saved_hdf5_files_mp`	Verify the generated HDF5 dataset.
`wikitext_detokenizer`	Detokenizer for wikitext.

Classes

`DatasetStats`	DatasetStats(num_sequences: int, num_tokens: int, detokenized_bytes: int, detokenized_chars: int, non_pad_tokens: int, loss_valid_tokens: int)
`Reader`
`VerificationArgs`	VerificationArgs(processes: int, files_per_record: int, max_seq_length: int, tokenizer_obj: object, eos_id: int, pad_id: int)

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