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Fix dtype mismatch in HeterogeneousFrequencyPenaltyLogitsProcessor (#163)

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Karol Damaszke 2024-07-03 10:57:41 +02:00 committed by GitHub
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commit 4b4382c6f8
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1 changed files with 4 additions and 2 deletions
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server/text_generation_server/utils/logits_process.py
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@ -159,9 +159,11 @@ class HeterogeneousFrequencyPenaltyLogitsProcessor(LogitsProcessor):
vocab_size = scores.size(1) vocab_size = scores.size(1)
# Calculate the frequency for each token so far # Calculate the frequency for each token so far
token_freq = torch.zeros(batch_size, vocab_size, device=input_ids.device) token_freq = torch.zeros(
batch_size, vocab_size, dtype=scores.dtype, device=scores.device
)
token_freq.scatter_add_( token_freq.scatter_add_(
1, input_ids, torch.ones_like(input_ids, dtype=torch.float) 1, input_ids, torch.ones_like(input_ids, dtype=scores.dtype, device=scores.device)
) )
token_freq /= input_size token_freq /= input_size