biondizzle/vllm
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

[Doc]: fix typos in Python comments (#24026)

Browse Source 
Signed-off-by: Didier Durand <durand.didier@gmail.com>
This commit is contained in:
Didier Durand
2025-09-01 11:38:20 +02:00
committed by GitHub
parent dc1a53186d
commit 107284959a
14 changed files with 17 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
vllm/model_executor/models/ovis.py
View File

@@ -544,7 +544,7 @@ class Ovis(nn.Module, SupportsMultiModal, SupportsPP):
vision_embeddings)
input_ids = None
# up until here we have a inputs_embeds 100% numerical identity
# up until here we have an inputs_embeds 100% numerical identity
# between the OG HF Transformers implementation and ours
hidden_states = self.llm(
input_ids=input_ids,

6
vllm/model_executor/models/phi4mm_audio.py
View File

@@ -43,7 +43,7 @@ class ConformerEncoderLayer(nn.Module):
if set different to 0, the number of
depthwise_seperable_out_channel will be used as a
channel_out of the second conv1d layer.
otherwise, it equal to 0, the second conv1d layer is skipped.
otherwise, it equals to 0, the second conv1d layer is skipped.
depthwise_multiplier: int
number of input_dim channels duplication. this value
will be used to compute the hidden channels of the Conv1D.
@@ -115,7 +115,7 @@ class ConformerEncoderLayer(nn.Module):
we recalculate activation in backward.
default "".
export: bool, optional
if set to True, it remove the padding from convolutional layers
if set to True, it removes the padding from convolutional layers
and allow the onnx conversion for inference.
default False.
use_pt_scaled_dot_product_attention: bool, optional
@@ -686,7 +686,7 @@ class ConformerEncoder(TransformerEncoderBase):
only work for glu_in_attention !=0
default "swish".
export: bool, optional
if set to True, it remove the padding from convolutional layers
if set to True, it removes the padding from convolutional layers
and allow the onnx conversion for inference.
default False.
activation_checkpointing: str, optional

2
vllm/model_executor/models/phi4mm_utils.py
View File

@@ -258,7 +258,7 @@ class DepthWiseSeperableConv1d(nn.Module):
if set different to 0, the number of
depthwise_seperable_out_channel will be used as a channel_out
of the second conv1d layer.
otherwise, it equal to 0, the second conv1d layer is skipped.
otherwise, it equals to 0, the second conv1d layer is skipped.
kernel_size: int
kernel_size
depthwise_multiplier: int