ccdv commited on
Commit
5e22f52
1 Parent(s): b61a610

fix for transformers >= 4.35.2

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Files changed (2) hide show
  1. README.md +1 -1
  2. modeling_lsg_bart.py +3 -3
README.md CHANGED
@@ -9,7 +9,7 @@ pipeline_tag: fill-mask
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  ---
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  # LSG model
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- **Transformers >= 4.23.1**\
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  **This model relies on a custom modeling file, you need to add trust_remote_code=True**\
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  **See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
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  ---
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  # LSG model
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+ **Transformers >= 4.35.2**\
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  **This model relies on a custom modeling file, you need to add trust_remote_code=True**\
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  **See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
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modeling_lsg_bart.py CHANGED
@@ -1,7 +1,7 @@
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  from logging import warn
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  import torch
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  from transformers.models.bart.modeling_bart import *
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- from transformers.models.bart.modeling_bart import _expand_mask
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  import torch.nn as nn
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  import sys
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@@ -852,7 +852,7 @@ class LSGBartEncoder(LSGBartPretrainedModel, BartEncoder):
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  # expand attention_mask
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  if attention_mask is not None:
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  # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len]
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- attention_mask = _expand_mask(attention_mask, inputs_embeds.dtype)
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  encoder_states = () if output_hidden_states else None
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  all_attentions = () if output_attentions else None
@@ -1093,4 +1093,4 @@ try:
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  str_to_class(value.split(".")[-1]).register_for_auto_class(key)
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  except:
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  warn("AutoRegister isn't available, you'll have to manually copy modeling.py after .save_pretrained(...).")
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- warn("Update to transformers >= 4.23.1 to fix.")
 
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  from logging import warn
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  import torch
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  from transformers.models.bart.modeling_bart import *
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+ from transformers.modeling_attn_mask_utils import _prepare_4d_attention_mask, _prepare_4d_causal_attention_mask
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  import torch.nn as nn
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  import sys
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  # expand attention_mask
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  if attention_mask is not None:
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  # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len]
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+ attention_mask = _prepare_4d_attention_mask(attention_mask, inputs_embeds.dtype)
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  encoder_states = () if output_hidden_states else None
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  all_attentions = () if output_attentions else None
 
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  str_to_class(value.split(".")[-1]).register_for_auto_class(key)
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  except:
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  warn("AutoRegister isn't available, you'll have to manually copy modeling.py after .save_pretrained(...).")
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+ warn("Update to transformers >= 4.35.2 to fix.")