ludwig-ai--ludwig
593b94c120
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21 行
1.2 KiB
Python
21 行
1.2 KiB
Python
def check_global_max_sequence_length_fits_prompt_template(metadata, global_preprocessing_parameters):
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"""Checks that the prompt template fits within the global max sequence length."""
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if (
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"global_max_sequence_length" in global_preprocessing_parameters
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and global_preprocessing_parameters["global_max_sequence_length"] is not None
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):
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for _feature_name, feature_metadata in metadata.items():
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if (
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"prompt_template_num_tokens" in feature_metadata
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and feature_metadata["prompt_template_num_tokens"]
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> global_preprocessing_parameters["global_max_sequence_length"]
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):
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raise ValueError(
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f"The prompt contains ({feature_metadata['prompt_template_num_tokens']}) tokens, which is more "
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f"than the the global_max_sequence_length "
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f"({global_preprocessing_parameters['global_max_sequence_length']}), which will remove all unique "
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"information. Shorten the prompt, or increase the global max sequence length to > "
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f"({feature_metadata['prompt_template_num_tokens']}) to include the full prompt."
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)
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