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[Misc] add process_weights_after_loading for DummyLoader #8969

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Oct 1, 2024
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[Misc] add process_weights_after_loading for DummyLoader #8969

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2cbca03
add process_weights_after_loading for DummyLoader
divakar-amd Sep 30, 2024
1231279
yapf fix
divakar-amd Sep 30, 2024
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12 changes: 12 additions & 0 deletions vllm/model_executor/model_loader/loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -441,6 +441,18 @@ def load_model(self, *, model_config: ModelConfig,
# NOTE(woosuk): For accurate performance evaluation, we assign
# random values to the weights.
initialize_dummy_weights(model)

for _, module in model.named_modules():
quant_method = getattr(module, "quant_method", None)
if quant_method is not None:
# When quant methods need to process weights after loading
# (for repacking, quantizing, etc), they expect parameters
# to be on the global target device. This scope is for the
# case where cpu offloading is used, where we will move the
# parameters onto device for processing and back off after.
with device_loading_context(
module, torch.device(device_config.device)):
quant_method.process_weights_after_loading(module)
return model.eval()


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