You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
PS C:\Users\AQUANAUT> docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
Fri Nov 22 11:53:49 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.02 Driver Version: 560.94 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4060 On | 00000000:01:00.0 On | N/A |
| 0% 30C P8 N/A / 115W | 940MiB / 8188MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 20 G /Xwayland N/A |
| 0 N/A N/A 20 G /Xwayland N/A |
| 0 N/A N/A 23 G /Xwayland N/A |
+-----------------------------------------------------------------------------------------+
How to reproduce the bug | 如何复现
root@2d5fcb104a8a:/home/data/output# magic-pdf -p /home/data/12_Malovichko.pdf -o /home/data/output -m auto
2024-11-22 11:44:44.284 | INFO | magic_pdf.libs.pdf_check:detect_invalid_chars:57 - cid_count: 147, text_len: 23246, cid_chars_radio: 0.006614173228346456
/opt/mineru_venv/lib/python3.10/site-packages/paddle/base/framework.py:743: UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly. CPU device will be used by default.
warnings.warn(
import tensorrt_llm failed, if do not use tensorrt, ignore this message
import lmdeploy failed, if do not use lmdeploy, ignore this message
2024-11-22 11:44:49.582 | INFO | magic_pdf.model.pdf_extract_kit:__init__:68 - DocAnalysis init, this may take some times, layout_model: layoutlmv3, apply_formula: True, apply_ocr: False, apply_table: False, table_model: rapid_table, lang: None
2024-11-22 11:44:49.582 | INFO | magic_pdf.model.pdf_extract_kit:__init__:77 - using device: cuda
2024-11-22 11:44:49.582 | INFO | magic_pdf.model.pdf_extract_kit:__init__:79 - using models_dir: /root/.cache/modelscope/hub/opendatalab/PDF-Extract-Kit-1___0/models
CustomVisionEncoderDecoderModel init
VariableUnimerNetModel init
VariableUnimerNetPatchEmbeddings init
VariableUnimerNetModel init
VariableUnimerNetPatchEmbeddings init
CustomMBartForCausalLM init
CustomMBartDecoder init
2024-11-22 11:44:55.035 | ERROR | magic_pdf.tools.cli:parse_doc:109 - Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found
Traceback (most recent call last):
Operating system | 操作系统
Linux
Python version | Python 版本
3.10
Software version | 软件版本 (magic-pdf --version)
0.9.x
Device mode | 设备模式
cuda
The text was updated successfully, but these errors were encountered:
Description of the bug | 错误描述
在win11的docker 里安装后,运行magic-pdf -p /home/data/12_Malovichko.pdf -o /home/data/output -m auto,运行中cuda 出错。但是cuda 显示已经安装好了,不过nvcc -v出错了。
PS C:\Users\AQUANAUT> docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
Fri Nov 22 11:53:49 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.02 Driver Version: 560.94 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4060 On | 00000000:01:00.0 On | N/A |
| 0% 30C P8 N/A / 115W | 940MiB / 8188MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 20 G /Xwayland N/A |
| 0 N/A N/A 20 G /Xwayland N/A |
| 0 N/A N/A 23 G /Xwayland N/A |
+-----------------------------------------------------------------------------------------+
How to reproduce the bug | 如何复现
Operating system | 操作系统
Linux
Python version | Python 版本
3.10
Software version | 软件版本 (magic-pdf --version)
0.9.x
Device mode | 设备模式
cuda
The text was updated successfully, but these errors were encountered: