Keep only the main business idea, remove the details about the design of the website

Process the YAML file, count samples, and validate paths.

Freezes all parameters, then selectively unfreezes based on user flags: - tune_vision_tower => unfreeze vision tower - tune_mm_connecto

batch_size-related configs are processed here. All this work is done here because it requires knowing the value of num_processes

Heuristics to decide whether to upload this opt_step-XXX checkpoint or not

Heuristics to decide whether to convert this opt_step-XXX checkpoint or not

Heuristics to decide whether to cleanup this opt_step-XXX checkpoint or not

This method also removes concatenated spaces.

Tokenize the id string on common delimiters: hyphens, underscores, and periods. Return a set of non-empty tokens. For example: "

Safely saves the model if not in DeepSpeed ZeRO stage-3.

_summary_ Given a Media_Node and the Extraction_Method_Name used to get this Media_Node, this function uses the Media_Node's values to update

Update each dataset entry's sampling_strategy according to these rules: - If always_full applies, use "random:100%". - Otherwise, com

Validate paths for a sample of elements from the dataset. Returns percentage of failed paths.

for a new or fully reset optimizer we expect all zeros `exp_avg` and `exp_avg_sq` state tensors and step=1

Process a text Source: https://github.com/GT-Vision-Lab/VQA/blob/master/PythonEvaluationTools/vqaEvaluation/vqaEval.py 1. Conversion of charac

Temporary add given path to `sys.path`. Usage :: with ExtendSysPath('/path/to/dir'): mymodule = importlib.import_module('