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按照官方的方案已经安装没有报错,可以运行demo的页面,但点击推理时会报以下错误:
Global seed set to 81808278
Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.808 seconds.
Prefix dict has been built successfully.
WARNING:tensorflow:From /root/anaconda3/envs/anytext/lib/python3.10/site-packages/modelscope/utils/device.py:60: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.config.list_physical_devices('GPU') instead.
2024-01-06 13:43:02.314823: F ./tensorflow/core/util/gpu_launch_config.h:169] Check failed: err == cudaSuccess (302 vs. 0)
Aborted
怀疑是tf和cuda的版本不对。
我的版本如下:
3080ti
cuda 11.8
cudnn 8.5
tensorflow 2.13
The text was updated successfully, but these errors were encountered:
按照官方的方案已经安装没有报错,可以运行demo的页面,但点击推理时会报以下错误:
Global seed set to 81808278
Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.808 seconds.
Prefix dict has been built successfully.
WARNING:tensorflow:From /root/anaconda3/envs/anytext/lib/python3.10/site-packages/modelscope/utils/device.py:60: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use
tf.config.list_physical_devices('GPU')
instead.2024-01-06 13:43:02.314823: F ./tensorflow/core/util/gpu_launch_config.h:169] Check failed: err == cudaSuccess (302 vs. 0)
Aborted
怀疑是tf和cuda的版本不对。
我的版本如下:
3080ti
cuda 11.8
cudnn 8.5
tensorflow 2.13
The text was updated successfully, but these errors were encountered: