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28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import torch.nn as nn
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from vllm.config import LoadConfig, ModelConfig
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from vllm.model_executor.model_loader.base_loader import BaseModelLoader
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from vllm.model_executor.model_loader.weight_utils import (
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initialize_dummy_weights)
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class DummyModelLoader(BaseModelLoader):
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"""Model loader that will set model weights to random values."""
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def __init__(self, load_config: LoadConfig):
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super().__init__(load_config)
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if load_config.model_loader_extra_config:
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raise ValueError(f"Model loader extra config is not supported for "
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f"load format {load_config.load_format}")
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def download_model(self, model_config: ModelConfig) -> None:
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pass # Nothing to download
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def load_weights(self, model: nn.Module,
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model_config: ModelConfig) -> None:
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# NOTE(woosuk): For accurate performance evaluation, we assign
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# random values to the weights.
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initialize_dummy_weights(model)
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