Fix batch input
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@ -177,7 +177,7 @@ class ChatGLMTokenizer(PreTrainedTokenizer):
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vocab_files_names = {"vocab_file": "ice_text.model"}
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max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
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model_input_names = ["input_ids"]
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model_input_names = ["input_ids", "attention_mask", "position_ids"]
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def __init__(
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self,
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@ -397,7 +397,7 @@ class ChatGLMTokenizer(PreTrainedTokenizer):
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needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
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# Initialize attention mask if not present.
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if needs_to_be_padded or return_attention_mask:
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if return_attention_mask:
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context_length = required_input.index(bos_token_id)
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attention_mask = np.ones((1, seq_length, seq_length))
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attention_mask = np.tril(attention_mask)
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@ -405,7 +405,7 @@ class ChatGLMTokenizer(PreTrainedTokenizer):
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attention_mask = np.bool_(attention_mask < 0.5)
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encoded_inputs["attention_mask"] = attention_mask
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if needs_to_be_padded or return_attention_mask:
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if return_attention_mask:
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mask_token = mask_token_id if mask_token_id in required_input else gmask_token_id
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mask_position = required_input.index(mask_token)
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context_length = required_input.index(bos_token_id)
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