INNER CODE UNIT · Python

launch_training_job

haitongli/knowledge-distillation-pytorch · search_hyperparams.py:36

def launch_training_job(parent_dir, job_name, params):
    """Launch training of the model with a set of hyperparameters in parent_dir/job_name

    Args:
        model_dir: (string) directory containing config, weights and log
        data_dir: (string) directory containing the dataset
        params: (dict) containing hyperparameters
    """
    # Create a new folder in parent_dir with unique_name "job_name"
    model_dir = os.path.join(parent_dir, job_name)
    if not os.path.exists(model_dir):
        os.makedirs(model_dir)

    # Write parameters in json file
    json_path = os.path.join(model_dir, 'params.json')
    params.save(json_path)

    # Launch training with this config

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