Update past_key_values in GPT-2 (#9596)
* Update past_key_values in gpt2 (#9391) * Update generation_utils, and rename some items * Update modeling_gpt2 to avoid an error in gradient_checkpointing * Remove 'reorder_cache' from util and add variations to XLNet, TransfoXL, GPT-2 * Change the location of '_reorder_cache' in modeling files * Add '_reorder_cache' in modeling_ctrl * Fix a bug of my last commit in CTRL * Add '_reorder_cache' to GPT2DoubleHeadsModel * Manage 'use_cache' in config of test_modeling_gpt2 * Clean up the doc string * Update src/transformers/models/gpt2/modeling_gpt2.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Fix the doc string (GPT-2, CTRL) * improve gradient_checkpointing_behavior Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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@@ -539,7 +539,14 @@ class BertEncoder(nn.Module):
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layer_head_mask = head_mask[i] if head_mask is not None else None
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past_key_value = past_key_values[i] if past_key_values is not None else None
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if getattr(self.config, "gradient_checkpointing", False):
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if getattr(self.config, "gradient_checkpointing", False) and self.training:
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if use_cache:
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logger.warn(
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"`use_cache = True` is incompatible with `config.gradient_checkpointing = True`. Setting `use_cache = False`..."
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)
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use_cache = False
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def create_custom_forward(module):
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def custom_forward(*inputs):
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