/usr/local/lib/python3.10/dist-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
/usr/local/lib/python3.10/dist-packages/transformers/models/encodec/modeling_encodec.py:120: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.register_buffer("padding_total", torch.tensor(kernel_size - stride, dtype=torch.int64), persistent=False)
Traceback (most recent call last):
File "/home/ilyas/optimum/sanity.py", line 5, in <module>
bark.save_pretrained("local_model")
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 2679, in save_pretrained
raise RuntimeError(
RuntimeError: The weights trying to be saved contained shared tensors [{'fine_acoustics.input_embeds_layers.1.weight', 'fine_acoustics.lm_heads.0.weight'}, {'fine_acoustics.lm_heads.1.weight', 'fine_acoustics.input_embeds_layers.2.weight'}, {'fine_acoustics.input_embeds_layers.3.weight', 'fine_acoustics.lm_heads.2.weight'}, {'fine_acoustics.lm_heads.3.weight', 'fine_acoustics.input_embeds_layers.4.weight'}, {'fine_acoustics.input_embeds_layers.5.weight', 'fine_acoustics.lm_heads.4.weight'}, {'fine_acoustics.lm_heads.5.weight', 'fine_acoustics.input_embeds_layers.6.weight'}, {'fine_acoustics.lm_heads.6.weight', 'fine_acoustics.input_embeds_layers.7.weight'}] that are mismatching the transformers base configuration. Try saving using `safe_serialization=False` or remove this tensor sharing.
System Info
transformersversion: 4.43.2Who can help?
@sanchit-gandhi
Information
Tasks
examplesfolder (such as GLUE/SQuAD, ...)Reproduction
fails with
Expected behavior
to save the model locally