54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
# Copyright 2024 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 os
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import pytest
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from llamafactory.train.test_utils import (
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compare_model,
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load_infer_model,
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load_reference_model,
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patch_valuehead_model,
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)
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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TINY_LLAMA_VALUEHEAD = os.environ.get("TINY_LLAMA_VALUEHEAD", "llamafactory/tiny-random-Llama-3-valuehead")
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INFER_ARGS = {
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"model_name_or_path": TINY_LLAMA,
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"template": "llama3",
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"infer_dtype": "float16",
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}
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@pytest.fixture
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def fix_valuehead_cpu_loading():
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patch_valuehead_model()
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def test_base():
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model = load_infer_model(**INFER_ARGS)
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ref_model = load_reference_model(TINY_LLAMA)
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compare_model(model, ref_model)
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@pytest.mark.usefixtures("fix_valuehead_cpu_loading")
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def test_valuehead():
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model = load_infer_model(add_valuehead=True, **INFER_ARGS)
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ref_model = load_reference_model(TINY_LLAMA_VALUEHEAD, add_valuehead=True)
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compare_model(model, ref_model)
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