update examples after ruff being updated (#36972)
* update * update --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -231,9 +231,9 @@ def main():
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# set decoder_start_token_id for MBart
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if model.config.decoder_start_token_id is None and isinstance(tokenizer, (MBartTokenizer, MBartTokenizerFast)):
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assert (
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data_args.tgt_lang is not None and data_args.src_lang is not None
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), "mBart requires --tgt_lang and --src_lang"
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assert data_args.tgt_lang is not None and data_args.src_lang is not None, (
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"mBart requires --tgt_lang and --src_lang"
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)
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if isinstance(tokenizer, MBartTokenizer):
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model.config.decoder_start_token_id = tokenizer.lang_code_to_id[data_args.tgt_lang]
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else:
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@@ -128,7 +128,7 @@ def run_search():
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results_sorted = sorted(results, key=operator.itemgetter(*task_score_names[task]), reverse=True)
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print(" | ".join([f"{col:{col_widths[col]}}" for col in col_names]))
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print(" | ".join([f"{'-'*col_widths[col]}" for col in col_names]))
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print(" | ".join([f"{'-' * col_widths[col]}" for col in col_names]))
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for row in results_sorted:
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print(" | ".join([f"{row[col]:{col_widths[col]}}" for col in col_names]))
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@@ -282,9 +282,9 @@ class Seq2SeqDataCollator:
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self.tokenizer = tokenizer
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self.pad_token_id = tokenizer.pad_token_id
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self.decoder_start_token_id = decoder_start_token_id
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assert (
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self.pad_token_id is not None
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), f"pad_token_id is not defined for ({self.tokenizer.__class__.__name__}), it must be defined."
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assert self.pad_token_id is not None, (
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f"pad_token_id is not defined for ({self.tokenizer.__class__.__name__}), it must be defined."
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)
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self.data_args = data_args
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self.tpu_num_cores = tpu_num_cores
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self.dataset_kwargs = {"add_prefix_space": True} if isinstance(tokenizer, BartTokenizer) else {}
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@@ -593,7 +593,7 @@ def assert_all_frozen(model):
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model_grads: List[bool] = list(grad_status(model))
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n_require_grad = sum(lmap(int, model_grads))
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npars = len(model_grads)
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assert not any(model_grads), f"{n_require_grad/npars:.1%} of {npars} weights require grad"
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assert not any(model_grads), f"{n_require_grad / npars:.1%} of {npars} weights require grad"
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def assert_not_all_frozen(model):
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