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import argparse |
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import json |
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import deepspeed |
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from deepspeed.elasticity import compute_elastic_config |
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if __name__ == '__main__': |
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parser = argparse.ArgumentParser() |
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parser.add_argument('-c', '--config', type=str, help="DeepSpeed config json") |
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parser.add_argument('-w', '--world-size', type=int, default=0, help="Intended/current world size") |
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args = parser.parse_args() |
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ds_config = json.load(open(args.config, 'r')) |
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ds_version = deepspeed.__version__ |
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elastic_config = ds_config['elasticity'] |
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print('------------------------------------------') |
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print("Elasticity config:") |
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print('------------------------------------------') |
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print(json.dumps(elastic_config, indent=4, sort_keys=True)) |
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if args.world_size > 0: |
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final_batch_size, valid_gpus, micro_batch_size = compute_elastic_config(ds_config=ds_config, |
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target_deepspeed_version=ds_version, |
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world_size=args.world_size) |
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print('------------------------------------------') |
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print(f"Calculated results for world size {args.world_size}:") |
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print('------------------------------------------') |
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print(f'final_batch_size .... {final_batch_size}') |
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print(f'valid_gpus .......... {valid_gpus}') |
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print(f'micro_batch_size .... {micro_batch_size}') |
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else: |
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final_batch_size, valid_gpus = compute_elastic_config(ds_config=ds_config, target_deepspeed_version=ds_version) |
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print('------------------------------------------') |
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print("Calculated results:") |
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print('------------------------------------------') |
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print(f'final_batch_size .... {final_batch_size}') |
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print(f'valid_gpus .......... {valid_gpus}') |
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