mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright 2025 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pytest
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from llamafactory.v1.accelerator.interface import DistributedInterface
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from llamafactory.v1.config.arg_parser import get_args
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from llamafactory.v1.core.model_loader import ModelLoader
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def test_init_on_meta():
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_, model_args, *_ = get_args(
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dict(
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model="llamafactory/tiny-random-qwen2.5",
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init_config={"name": "init_on_meta"},
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)
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)
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model_loader = ModelLoader(model_args=model_args)
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assert model_loader.model.device.type == "meta"
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@pytest.mark.runs_on(["cuda", "npu"])
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def test_init_on_rank0():
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_, model_args, *_ = get_args(
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dict(
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model="llamafactory/tiny-random-qwen2.5",
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init_config={"name": "init_on_rank0"},
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)
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)
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model_loader = ModelLoader(model_args=model_args)
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if DistributedInterface().get_rank() == 0:
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assert model_loader.model.device.type == "cpu"
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else:
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assert model_loader.model.device.type == "meta"
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def test_init_on_default():
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_, model_args, *_ = get_args(
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dict(
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model="llamafactory/tiny-random-qwen2.5",
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init_config={"name": "init_on_default"},
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)
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)
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model_loader = ModelLoader(model_args=model_args)
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assert model_loader.model.device.type == DistributedInterface().current_accelerator.type
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