fixed typo. (#37057)
Signed-off-by: zhanluxianshen <zhanluxianshen@163.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
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@@ -1102,7 +1102,7 @@ class SequenceBiasLogitsProcessor(LogitsProcessor):
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self._convert_list_arguments_into_dict()
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# Bias variables that will be populated on the first call (for retrocompatibility purposes, the vocabulary size
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# is infered in the first usage, which inhibits initializing here)
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# is inferred in the first usage, which inhibits initializing here)
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self.length_1_bias = None
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self.prepared_bias_variables = False
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@@ -483,7 +483,7 @@ class TFGenerationMixin:
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) -> tf.Tensor:
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"""
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Computes the transition scores of sequences given the generation scores (and beam indices, if beam search was
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used). This is a convenient method to quicky obtain the scores of the selected tokens at generation time.
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used). This is a convenient method to quickly obtain the scores of the selected tokens at generation time.
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Parameters:
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sequences (`tf.Tensor`):
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