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Remove redundant fill op (#83) (#90)

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Co-authored-by: mswiniarsk <156412439+mswiniarsk@users.noreply.github.com>
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Karol Damaszke 2024-03-01 01:32:02 +01:00 committed by GitHub
parent 03c2123244
commit a5c788cfe4
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2 changed files with 3 additions and 3 deletions
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2
server/text_generation_server/models/causal_lm.py
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@ -823,7 +823,7 @@ class CausalLM(Model):
if token_idx is None: if token_idx is None:
batch.input_ids[:, 0] = next_token_ids[:, 0] batch.input_ids[:, 0] = next_token_ids[:, 0]
else: else:
batch.input_ids.index_copy_(1, token_idx.cpu(), next_token_ids.unsqueeze(1)) batch.input_ids.index_copy_(1, token_idx, next_token_ids.unsqueeze(1))
# Slice unused values from prefill, use it to store next token # Slice unused values from prefill, use it to store next token
if token_idx is None: if token_idx is None:

4
server/text_generation_server/utils/tokens.py
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@ -214,8 +214,8 @@ class HeterogeneousNextTokenChooser:
next_ids = self.choice(scores) next_ids = self.choice(scores)
# ignore logprobs if we use greedy search # ignore logprobs if we use greedy search
if type(self.choice) == Greedy: if type(self.choice) == Greedy:
logprobs = torch.zeros_like(scores, device="cpu") logprobs = torch.empty_like(scores, device="cpu")
next_logprobs = torch.zeros_like(next_ids.view(-1), device="cpu") next_logprobs = torch.empty_like(next_ids.view(-1), device="cpu")
else: else:
logprobs = torch.log_softmax(scores, -1) logprobs = torch.log_softmax(scores, -1)
next_logprobs = torch.gather(logprobs, 1, next_ids.view(-1, 1)).view(-1) next_logprobs = torch.gather(logprobs, 1, next_ids.view(-1, 1)).view(-1)