allow fp32 to work
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@@ -182,8 +182,9 @@ class PyramidFlowModelLoader:
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if is_accelerate_available:
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logging.info("Using accelerate to load and assign model weights to device...")
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base_dtype = torch.bfloat16 if dtype != torch.float32 else torch.float32
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for name, param in transformer.named_parameters():
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dtype_to_use = torch.bfloat16 if any(keyword in name for keyword in params_to_keep) else dtype
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dtype_to_use = base_dtype if any(keyword in name for keyword in params_to_keep) else dtype
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set_module_tensor_to_device(transformer, name, dtype=dtype_to_use, device=device, value=transformer_sd[name])
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else:
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transformer.load_state_dict(transformer_sd)
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