mirror of https://github.com/hpcaitech/ColossalAI
38 lines
927 B
Python
38 lines
927 B
Python
import click
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from .launcher import run
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from .check import check
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from colossalai.cli.benchmark.utils import BATCH_SIZE, SEQ_LENGTH, HIDDEN_DIM, ITER_TIMES
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from colossalai.cli.benchmark.run import launch as col_benchmark
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class Arguments():
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def __init__(self, arg_dict):
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for k, v in arg_dict.items():
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self.__dict__[k] = v
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@click.group()
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def cli():
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pass
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@click.command()
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@click.option("--num_gpus", type=int, default=-1)
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@click.option("--bs", type=int, default=BATCH_SIZE)
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@click.option("--seq_len", type=int, default=SEQ_LENGTH)
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@click.option("--hid_dim", type=int, default=HIDDEN_DIM)
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@click.option("--num_steps", type=int, default=ITER_TIMES)
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def benchmark(num_gpus, bs, seq_len, hid_dim, num_steps):
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args_dict = locals()
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args = Arguments(args_dict)
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col_benchmark(args)
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cli.add_command(run)
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cli.add_command(check)
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cli.add_command(benchmark)
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if __name__ == '__main__':
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cli()
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