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weight is not tied within init_empty_weights #3668

@Ghost-LZW

Description

@Ghost-LZW

System Info

- `Accelerate` version: 1.8.1
- Platform: macOS-14.3.1-arm64-arm-64bit
- `accelerate` bash location: /opt/homebrew/anaconda3/bin/accelerate
- Python version: 3.11.3
- Numpy version: 1.24.3
- PyTorch version: 2.4.1
- PyTorch accelerator: N/A
- System RAM: 32.00 GB

Information

  • The official example scripts
  • My own modified scripts

Tasks

  • One of the scripts in the examples/ folder of Accelerate or an officially supported no_trainer script in the examples folder of the transformers repo (such as run_no_trainer_glue.py)
  • My own task or dataset (give details below)

Reproduction

from accelerate import init_empty_weights
import torch

a = torch.nn.ModuleList([torch.nn.Embedding(12, 12), torch.nn.Embedding(12, 12)])
# tie embedding
a[0].weight = a[1].weight
assert a[0].weight is a[1].weight  # success

with init_empty_weights():
    a = torch.nn.ModuleList([torch.nn.Embedding(12, 12), torch.nn.Embedding(12, 12)])
    # tie embedding
    a[0].weight = a[1].weight
    assert a[0].weight is a[1].weight  # error
"""
Traceback (most recent call last):
  File "test_empty_init.py", line 16, in <module>
    assert a[0].weight is a[1].weight
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AssertionError
"""

Expected behavior

tie weights success with init_empty_weights.

This issue might come from the register_empty_parameter move the parameter to the meta device without checking whether the parameters are tied.

https://github.com/huggingface/accelerate/blob/main/src/accelerate/big_modeling.py#L129-L135

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