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The document details the initialization and operation of a CUDA environment with version 12.1.1, including the loading of various components and models for image processing. It highlights the use of NVIDIA's Deep Learning Container License and mentions deprecated configurations for video processing. Additionally, it outlines the processing of image analysis jobs, including successful image loading and model response generation.
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0% found this document useful (0 votes)
18 views2 pages

Logs

The document details the initialization and operation of a CUDA environment with version 12.1.1, including the loading of various components and models for image processing. It highlights the use of NVIDIA's Deep Learning Container License and mentions deprecated configurations for video processing. Additionally, it outlines the processing of image analysis jobs, including successful image loading and model response generation.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as TXT, PDF, TXT or read online on Scribd
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2025-07-02T12:19:45.

310174785Z ==========
2025-07-02T12:19:45.310177248Z == CUDA ==
2025-07-02T12:19:45.310206803Z ==========
2025-07-02T12:19:45.312354979Z CUDA Version 12.1.1
2025-07-02T12:19:45.313361291Z Container image Copyright (c) 2016-2023, NVIDIA
CORPORATION & AFFILIATES. All rights reserved.
2025-07-02T12:19:45.314151951Z This container image and its contents are governed
by the NVIDIA Deep Learning Container License.
2025-07-02T12:19:45.314154024Z By pulling and using the container, you accept the
terms and conditions of this license:
2025-07-02T12:19:45.314155456Z https://developer.nvidia.com/ngc/nvidia-deep-
learning-container-license
2025-07-02T12:19:45.314158691Z A copy of this license is made available in this
container at /NGC-DL-CONTAINER-LICENSE for your convenience.
2025-07-02T12:19:45.340323224Z --- GENERIC VISION HANDLER START ---
2025-07-02T12:19:46.922077830Z --- runpod imported ---
2025-07-02T12:19:48.019176859Z --- torch imported ---
2025-07-02T12:19:48.150776833Z
/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:111:
FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5
of Transformers. Use `HF_HOME` instead.
2025-07-02T12:19:48.150808099Z warnings.warn(
2025-07-02T12:19:48.857756427Z --- transformers parts imported ---
2025-07-02T12:19:48.858179218Z vision_process.py :42 2025-07-02 12:19:48,857
set VIDEO_TOTAL_PIXELS: 90316800
2025-07-02T12:19:48.858186529Z --- qwen_vl_utils imported ---
2025-07-02T12:19:48.858191025Z --- All primary imports complete ---
2025-07-02T12:19:48.858192508Z Loading quantization_config...
2025-07-02T12:19:48.858442250Z Loading model: Qwen/Qwen2-VL-7B-Instruct...
2025-07-02T12:20:34.268409282Z
Fetching 5 files: 0%| | 0/5 [00:00<?, ?it/s]
Fetching 5 files: 20%|██ | 1/5 [00:36<02:24, 36.08s/it]
Fetching 5 files: 40%|████ | 2/5 [00:43<00:57, 19.12s/it]
Fetching 5 files: 100%|██████████| 5/5 [00:43<00:00, 8.67s/it]
2025-07-02T12:20:34.544610665Z modeling.py :991 2025-07-02 12:20:34,544 We
will use 90% of the memory on device 0 for storing the model, and 10% for the
buffer to avoid OOM. You can set `max_memory` in to a higher value to use more
memory (at your own risk).
2025-07-02T12:20:46.037750174Z
Loading checkpoint shards: 0%| | 0/5 [00:00<?, ?it/s]
Loading checkpoint shards: 20%|██ | 1/5 [00:02<00:09, 2.35s/it]
Loading checkpoint shards: 40%|████ | 2/5 [00:05<00:07, 2.55s/it]
Loading checkpoint shards: 60%|██████ | 3/5 [00:08<00:05, 2.75s/it]
Loading checkpoint shards: 80%|████████ | 4/5 [00:11<00:02, 2.87s/it]
Loading checkpoint shards: 100%|██████████| 5/5 [00:11<00:00, 1.96s/it]
Loading checkpoint shards: 100%|██████████| 5/5 [00:11<00:00, 2.29s/it]
2025-07-02T12:20:46.749634268Z Loading processor...
2025-07-02T12:20:47.772981697Z Using a slow image processor as `use_fast` is unset
and a slow processor was saved with this model. `use_fast=True` will be the default
behavior in v4.52, even if the model was saved with a slow processor. This will
result in minor differences in outputs. You'll still be able to use a slow
processor with `use_fast=False`.
2025-07-02T12:20:51.238678900Z You have video processor config saved in
`preprocessor.json` file which is deprecated. Video processor configs should be
saved in their own `video_preprocessor.json` file. You can rename the file or load
and save the processor back which renames it automatically. Loading from
`preprocessor.json` will be removed in v5.0.
2025-07-02T12:20:52.480806265Z --- Model and Processor Loaded Successfully ---
2025-07-02T12:20:52.480851232Z --- Starting RunPod serverless handler ---
2025-07-02T12:20:52.480859645Z --- Starting Serverless Worker | Version 1.7.12 ---
2025-07-02T12:20:53.087850207Z {"requestId": null, "message": "Jobs in queue: 1",
"level": "INFO"}
2025-07-02T12:20:53.087871228Z {"requestId": null, "message": "Jobs in progress:
1", "level": "INFO"}
2025-07-02T12:20:53.088215132Z {"requestId": "7d6e6d59-356e-49dd-8daa-7d4dadc18631-
e2", "message": "Started.", "level": "INFO"}
2025-07-02T12:20:53.088234601Z --- Job Received --- Job ID: 7d6e6d59-356e-49dd-
8daa-7d4dadc18631-e2
2025-07-02T12:20:53.088239658Z Processing 1 image(s) with prompt...
2025-07-02T12:20:53.088243574Z Decoding base64 image...
2025-07-02T12:20:53.112250466Z Image loaded successfully: (900, 1600)
2025-07-02T12:20:53.112281413Z --- Starting image analysis with prompt (length:
2214) ---
2025-07-02T12:20:53.112285529Z Preparing inputs for the model...
2025-07-02T12:20:53.227225997Z Generating response from the model...
2025-07-02T12:20:57.209301496Z Model response generated successfully (length: 2751)
2025-07-02T12:20:57.269171847Z {"requestId": "7d6e6d59-356e-49dd-8daa-7d4dadc18631-
e2", "message": "Finished.", "level": "INFO"}
2025-07-02T12:20:58.947733846Z {"requestId": null, "message": "Jobs in queue: 1",
"level": "INFO"}
2025-07-02T12:20:58.947753556Z {"requestId": null, "message": "Jobs in progress:
1", "level": "INFO"}
2025-07-02T12:20:58.947758113Z {"requestId": "5d03854a-4291-4f60-a46c-1cdbc64ccb05-
e1", "message": "Started.", "level": "INFO"}
2025-07-02T12:20:58.947761838Z --- Job Received --- Job ID: 5d03854a-4291-4f60-
a46c-1cdbc64ccb05-e1
2025-07-02T12:20:58.947765243Z Processing 1 image(s) with prompt...
2025-07-02T12:20:58.947768738Z Decoding base64 image...
2025-07-02T12:20:58.953663567Z Image loaded successfully: (1280, 960)
2025-07-02T12:20:58.953679831Z --- Starting image analysis with prompt (length:
2234) ---
2025-07-02T12:20:58.953684478Z Preparing inputs for the model...
2025-07-02T12:20:59.023109320Z Generating response from the model...
2025-07-02T12:21:01.960272584Z Model response generated successfully (length: 2777)
2025-07-02T12:21:02.031091086Z {"requestId": "5d03854a-4291-4f60-a46c-1cdbc64ccb05-
e1", "message": "Finished.", "level": "INFO"}

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