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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 03:30 UTC

[CI Bugfix] Fix pre-commit failures on main (#20502)

Michael Goin committed Jul 5, 2025 at 06:17 UTC c108781c856eb5b89e927b1bf667a724e405b2ac
2 files changed +4 -2
tests/kernels/moe/test_cutlass_grouped_gemm.py
+1
@@ -1,4 +1,5 @@
1 # SPDX-License-Identifier: Apache-2.0
2 +# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
3
4 # DeepGEMM Style Cutlass Grouped GEMM Test
5 # See https://github.com/deepseek-ai/DeepGEMM/blob/main/tests/test_core.py
vllm/multimodal/utils.py
+3 -2
@@ -48,9 +48,10 @@ class MediaConnector:
48 media_io_kwargs: Additional args passed to process media
49 inputs, keyed by modalities. For example,
50 to set num_frames for video, set
51 - `--media-io-kwargs '{"video": {"num_frames": 40} }'`
51 + `--media-io-kwargs '{"video":{"num_frames":40}}'`
52 connection: HTTP connection client to download media contents.
53 - allowed_local_media_path: A local directory to load media files from.
53 + allowed_local_media_path: A local directory to load media files
54 + from.
55 """
56 super().__init__()
57