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2026-07-13 13:18:33 +08:00

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Python

# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from transformers import AutoModelForCausalLM
import deepspeed
import argparse
from deepspeed.accelerator import get_accelerator
deepspeed.runtime.utils.see_memory_usage('pre test', force=True)
model = AutoModelForCausalLM.from_pretrained('facebook/opt-350M').half().to(get_accelerator().device_name())
parser = argparse.ArgumentParser()
parser = deepspeed.add_config_arguments(parser)
args = parser.parse_args()
deepspeed.runtime.utils.see_memory_usage('post test', force=True)
m, _, _, _ = deepspeed.initialize(model=model, args=args, enable_hybrid_engine=True)
m.eval()
input = torch.ones(1, 16, device='cuda', dtype=torch.long)
out = m(input)
m.train()
out = m(input)
print(out['logits'], out['logits'].norm())