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compact topk index and prob extraction #309

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compact topk index and prob extraction #309

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d93def0
compact topk index and prob extraction
YanivDorGalron Oct 26, 2025
f13f397
updating the .topk in addiitional places
YanivDorGalron Oct 26, 2025
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13 changes: 7 additions & 6 deletions eagle/modeling_eagle.py
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Original file line number Diff line number Diff line change
Expand Up @@ -903,11 +903,10 @@ def topK_genrate(self, hidden_states, input_ids, head, logits_processor, max_len

for i in range(len(self.tree_buffer['tree_indices'])):
if logits_processor is not None:
topk_index, topk_prob, op = self.sample(last_headout, logits_processor, k=top_k, )
topk_index, topk_prob, op = self.sample(last_headout, logits_processor, k=top_k)
else:
topk_index, topk_prob = torch.topk(last_headout, top_k, dim=-1).indices, torch.topk(last_headout,
top_k,
dim=-1).values
topk_results = torch.topk(last_headout, top_k, dim=-1)
topk_index, topk_prob = topk_results.indices, topk_results.values
op = None

ss_token.append(topk_index)
Expand Down Expand Up @@ -943,8 +942,8 @@ def topK_genrate(self, hidden_states, input_ids, head, logits_processor, max_len
if logits_processor is not None:
topk_index, topk_prob, op = self.sample(last_headout, logits_processor, k=top_k, )
else:
topk_index, topk_prob = torch.topk(last_headout, top_k, dim=-1).indices, torch.topk(last_headout, top_k,
dim=-1).values
topk_results = torch.topk(last_headout, top_k, dim=-1)
topk_index, topk_prob = topk_results.indices, topk_results.values
op = None
ss_token.append(topk_index)
ss_prob.append(topk_prob)
Expand Down Expand Up @@ -1734,3 +1733,5 @@ def generate(
return out_inputids[0]
return out_inputids