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allow patch_batch_size to be adjusted in the forward() method
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@ -490,6 +490,7 @@ class Patcher:
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preds: torch.Tensor | None = None,
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entropies: torch.Tensor | None = None,
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threshold: float = None,
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patching_batch_size: int | None = None,
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) -> torch.Tensor:
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"""
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tokens: 2D tensor of shape [batch_size, seq_len] that needs to be patched
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@ -539,7 +540,11 @@ class Patcher:
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scores = calculate_entropies(
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tokens,
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self.entropy_model,
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self.patching_batch_size,
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(
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patching_batch_size
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if patching_batch_size is not None
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else self.patching_batch_size
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),
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self.device,
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)
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if self.log_time:
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