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Running the container: sudo nvidia-docker run -it okwrtdsh/anaconda3:keras-9.2-cudnn7 bash
"attaching" to container: sudo docker exec -it container_name bash
Running python repl and importing tensorflow to check whether gpu is enabled in tensorflow:
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
which prints:
2018-07-05 14:56:47.988072: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 3815053792300585653
]
That shows device_type as cpu. Can this be a bug?
The text was updated successfully, but these errors were encountered:
@CowboyBebug
Please, check your CUDA Toolkit and Compatible Driver Versions. keras-9.2-cudnn7 requires 396.26 or later (Linux x86_64).
You can check the driver version with nvidia-smi command.
Running the container:
sudo nvidia-docker run -it okwrtdsh/anaconda3:keras-9.2-cudnn7 bash
"attaching" to container:
sudo docker exec -it container_name bash
Running python repl and importing tensorflow to check whether gpu is enabled in tensorflow:
which prints:
That shows device_type as cpu. Can this be a bug?
The text was updated successfully, but these errors were encountered: