https://www.tensorflow.org/install/docker?hl=ja 我拉出了tensorflow/tensorflow:latest-gpu-py3并尝试运行它。它似乎成功地检测到了gpu,但它切换到cpu进行训练。我不知道为什么,我很想修复它。任何建议都会有所帮助。谢谢。-04-24 04:40:09.709091: I tensorflow/core/platform/profile_utils/cpu_utils.cc
我已经在Windows上运行了Keras & Theano的安装(遵循这个)。现在,我已经尝试将后端切换到,它工作得很好。from tensorflow.python.client import device_lib local_device_protos = device_lib.list_local_devices()
return [x.name for x in local_device_protos if x.device_type == 'GPU'
我正在尝试安装tensorflow-gpu,其版本为2.0.0-字母0。我尝试过这两个特定的命令:pip install -U --pre tensorflow-gpu==2.0.0-alpha0pip说:Could not find a version that satisfies the requirementtensorflow-gpu
Using TensorFlow backend.
2017-12-04 18:13:37.479189: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPUwasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPUwasn't compiled to use FMA instructions, but these are ava