run_convert_checkpoint.py script

run_convert_checkpoint.py script

python3 run_convert_checkpoint.py

1. It uses argparse to parse the command-line argument --config, which specifies the path to the YAML configuration file (default is config.yaml).

2. It loads the configurations from the specified YAML file using yaml.safe_load().

3. It extracts the relevant configuration values from the loaded YAML data, such as model_dir, output_dir, dtype, tp_size, pp_size, vocab_size, n_positions, n_layer, n_head, n_embd, and inter_size.

4. It constructs the command-line arguments for the convert_checkpoint.py script based on the extracted configuration values. The common arguments like model_dir, output_dir, dtype, tp_size, etc., are explicitly added to the cmd_args list.

5. It iterates over the remaining checkpoint arguments in the YAML file and adds them to the cmd_args list if they are specified and not None. The script excludes the arguments that were already explicitly added (tp_size, pp_size, vocab_size, n_positions, n_layer, n_head, n_embd, inter_size).

6. Finally, it uses subprocess.run() to execute the convert_checkpoint.py script with the constructed command-line arguments.

run_convert_checkpoint.py script

import argparse
import os
import subprocess
import yaml

def main():
    parser = argparse.ArgumentParser(description='Run convert_checkpoint.py with configurations from config.yaml')
    parser.add_argument('--config', default='config.yaml', help='Path to the YAML configuration file')
    args = parser.parse_args()

    # Load configurations from the YAML file
    with open(args.config, 'r') as f:
        config = yaml.safe_load(f)

    # Extract the configuration values
    model_dir = config['model']['model_dir']
    output_dir = config['model']['output_dir']
    dtype = config['model']['dtype']
    tp_size = config['checkpoint']['tp_size']
    pp_size = config['checkpoint']['pp_size']
    vocab_size = config['checkpoint']['vocab_size']
    n_positions = config['checkpoint']['n_positions']
    n_layer = config['checkpoint']['n_layer']
    n_head = config['checkpoint']['n_head']
    n_embd = config['checkpoint']['n_embd']
    inter_size = config['checkpoint']['inter_size']

    # Construct the command-line arguments for convert_checkpoint.py
    cmd_args = [
        'python', 'convert_checkpoint.py',
        '--model_dir', model_dir,
        '--output_dir', output_dir,
        '--dtype', dtype,
        '--tp_size', str(tp_size),
        '--pp_size', str(pp_size),
        '--vocab_size', str(vocab_size),
        '--n_positions', str(n_positions),
        '--n_layer', str(n_layer),
        '--n_head', str(n_head),
        '--n_embd', str(n_embd),
        '--inter_size', str(inter_size)
    ]

    # Add additional checkpoint arguments if specified in the YAML file
    for key, value in config['checkpoint'].items():
        if key not in ['tp_size', 'pp_size', 'vocab_size', 'n_positions', 'n_layer', 'n_head', 'n_embd', 'inter_size']:
            if value is not None:
                cmd_args.extend([f'--{key}', str(value)])

    # Run the convert_checkpoint.py script with the specified arguments
    subprocess.run(cmd_args, check=True)

if __name__ == '__main__':
    main()

The run_convert_checkpoint.py script does this:

1. It uses argparse to parse the command-line argument --config, which specifies the path to the YAML configuration file (default is config.yaml).

2. It loads the configurations from the specified YAML file using yaml.safe_load().

3. It extracts the relevant configuration values from the loaded YAML data, such as model_dir, output_dir, dtype, tp_size, pp_size, vocab_size, n_positions, n_layer, n_head, n_embd, and inter_size.

4. It constructs the command-line arguments for the convert_checkpoint.py script based on the extracted configuration values. The common arguments like model_dir, output_dir, dtype, tp_size, etc., are explicitly added to the cmd_args list.

5. It iterates over the remaining checkpoint arguments in the YAML file and adds them to the cmd_args list if they are specified and not None. The script excludes the arguments that were already explicitly added (tp_size, pp_size, vocab_size, n_positions, n_layer, n_head, n_embd, inter_size).

6. Finally, it uses subprocess.run() to execute the convert_checkpoint.py script with the constructed command-line arguments.

The script correctly handles the additional checkpoint arguments specified in the updated config.yaml file.

It checks if each argument is present in the YAML file and adds it to the cmd_args list if the value is not None.

By using the check=True argument in subprocess.run(), the script will raise an exception if the convert_checkpoint.py script exits with a non-zero status code, indicating an error.

Therefore, assuming that the convert_checkpoint.py script is located in the same directory as the run_convert_checkpoint.py script and the config.yaml file, running the run_convert_checkpoint.py script should execute the convert_checkpoint.py script with the configurations specified in the config.yaml file without any errors.

python3 run_convert_checkpoint.py