pipeline 在有GPU的情况下，无法指定使用CPU，是我的用法不对吗？ about modelscope HOT 4 CLOSED

可以尝试debug看看，是否有按is_gpu_available()指定device。极少数模型有这种情况。

from modelscope.

我菜狗，没找到问题原因，不过我通过一下方式可以切换为cpu，目前我的功能逻辑可以这么操作，不过我还是期望能在pipeline里面设置生效。

os.environ["CUDA_VISIBLE_DEVICES"] = "-1,"

import tensorflow as tf
# TensorFlow 配置：在某些情况下，TensorFlow 可能会使用自定义的 GPU 配置，覆盖了环境变量的设置。
# 可以尝试在 TensorFlow 导入之前设置 TensorFlow 的 GPU 配置。
# 设置 TensorFlow 的 GPU 配置
gpus = tf.config.experimental.list_physical_devices('GPU')
tf.config.experimental.set_visible_devices(gpus, 'GPU')

from modelscope.

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from modelscope.