Simplesmente

sudo apt-get update
sudo apt-get install apt-transport-https ca-certificates -y
sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
sudo echo deb https://apt.dockerproject.org/repo ubuntu-xenial main >> /etc/apt/sources.list.d/docker.list
sudo apt-get update
sudo apt-get purge lxc-docker
sudo apt-get install linux-image-extra-$(uname -r) -y
sudo apt-get install docker-engine cgroup-lite apparmor -y
sudo usermod -a -G docker $USER
sudo service docker start

ppwwyyxx

diff --git i/f1/F1_track1/agent.py w/f1/F1_track1/agent.py
index a717842..4ae8405 100644
--- i/f1/F1_track1/agent.py
+++ w/f1/F1_track1/agent.py
@@ -140,15 +140,15 @@ class FinalEnv(RLEnvironment):
 
 
 class Model(ModelDesc):
-    def _get_input_vars(self):
-        return [InputVar(tf.float32, (None,) + IMAGE_SHAPE3, 'image'),

jovianlin

from tensorflow.python.client import device_lib

def get_available_gpus():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos if x.device_type == 'GPU']

get_available_gpus()

mmcc

sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D

sh -c 'echo deb https://apt.dockerproject.org/repo ubuntu-trusty main > /etc/apt/sources.list.d/docker.list'

# Install docker
sudo apt-get update
sudo apt-get purge lxc-docker
sudo apt-get install linux-image-extra-$(uname -r)
sudo apt-get install docker-engine
sudo service docker start