[Models] Improve iteration over layers (#19497)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>
This commit is contained in:
Lukas Geiger
2025-08-29 02:26:34 +01:00
committed by GitHub
parent 235c9db8a7
commit de533ab2a1
65 changed files with 129 additions and 83 deletions

View File

@@ -26,6 +26,7 @@
"""Inference-only Exaone model compatible with HuggingFace weights."""
from collections.abc import Iterable
from itertools import islice
from typing import Any, Optional, Union
import torch
@@ -371,7 +372,7 @@ class ExaoneModel(nn.Module):
hidden_states = intermediate_tensors["hidden_states"]
residual = intermediate_tensors["residual"]
for layer in self.h[self.start_layer:self.end_layer]:
for layer in islice(self.h, self.start_layer, self.end_layer):
hidden_states, residual = layer(
positions,
hidden_states,