Google cloud compute glx not found
I am currently setting up a GCP compute instance for some reinforcement learning which requires the ability to render an image to a display. For this I am making use of pyvirtualdisplay which appears to wrap xvfb-run under the hood.
Currently I am struggling to grasp the details of glx and where it necessary comes from.
running xvfb-run -a -s +extension glx -- glxinfo
,
I get /usr/bin/xvfb-run: 183: /usr/bin/xvfb-run: glx: not found
Looking at the nvidia drivers which were installed due to the use of install-nvidia-driver=True
within the metadata of the GCP instance create command.
running nvidia-smi I get
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |
| N/A 33C P0 70W / 149W | 0MiB / 11441MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
What could be missing to cause glx to be missing from my instance? The instance was created with this command:
export IMAGE_FAMILY="tf-latest-gpu"
export ZONE="europe-west1-b"
export INSTANCE_NAME="INSTANCE_1"
export INSTANCE_TYPE="n1-standard-2"
gcloud compute instances create $INSTANCE_NAME
--zone=$ZONE
--image-family=tf-latest-gpu
--image-project="deeplearning-platform-release"
--maintenance-policy=TERMINATE
--accelerator="type=nvidia-tesla-k80,count=1"
--machine-type=$INSTANCE_TYPE
--boot-disk-size=120GB
--metadata="install-nvidia-driver=True"
apt google-cloud mesa
add a comment |
I am currently setting up a GCP compute instance for some reinforcement learning which requires the ability to render an image to a display. For this I am making use of pyvirtualdisplay which appears to wrap xvfb-run under the hood.
Currently I am struggling to grasp the details of glx and where it necessary comes from.
running xvfb-run -a -s +extension glx -- glxinfo
,
I get /usr/bin/xvfb-run: 183: /usr/bin/xvfb-run: glx: not found
Looking at the nvidia drivers which were installed due to the use of install-nvidia-driver=True
within the metadata of the GCP instance create command.
running nvidia-smi I get
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |
| N/A 33C P0 70W / 149W | 0MiB / 11441MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
What could be missing to cause glx to be missing from my instance? The instance was created with this command:
export IMAGE_FAMILY="tf-latest-gpu"
export ZONE="europe-west1-b"
export INSTANCE_NAME="INSTANCE_1"
export INSTANCE_TYPE="n1-standard-2"
gcloud compute instances create $INSTANCE_NAME
--zone=$ZONE
--image-family=tf-latest-gpu
--image-project="deeplearning-platform-release"
--maintenance-policy=TERMINATE
--accelerator="type=nvidia-tesla-k80,count=1"
--machine-type=$INSTANCE_TYPE
--boot-disk-size=120GB
--metadata="install-nvidia-driver=True"
apt google-cloud mesa
add a comment |
I am currently setting up a GCP compute instance for some reinforcement learning which requires the ability to render an image to a display. For this I am making use of pyvirtualdisplay which appears to wrap xvfb-run under the hood.
Currently I am struggling to grasp the details of glx and where it necessary comes from.
running xvfb-run -a -s +extension glx -- glxinfo
,
I get /usr/bin/xvfb-run: 183: /usr/bin/xvfb-run: glx: not found
Looking at the nvidia drivers which were installed due to the use of install-nvidia-driver=True
within the metadata of the GCP instance create command.
running nvidia-smi I get
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |
| N/A 33C P0 70W / 149W | 0MiB / 11441MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
What could be missing to cause glx to be missing from my instance? The instance was created with this command:
export IMAGE_FAMILY="tf-latest-gpu"
export ZONE="europe-west1-b"
export INSTANCE_NAME="INSTANCE_1"
export INSTANCE_TYPE="n1-standard-2"
gcloud compute instances create $INSTANCE_NAME
--zone=$ZONE
--image-family=tf-latest-gpu
--image-project="deeplearning-platform-release"
--maintenance-policy=TERMINATE
--accelerator="type=nvidia-tesla-k80,count=1"
--machine-type=$INSTANCE_TYPE
--boot-disk-size=120GB
--metadata="install-nvidia-driver=True"
apt google-cloud mesa
I am currently setting up a GCP compute instance for some reinforcement learning which requires the ability to render an image to a display. For this I am making use of pyvirtualdisplay which appears to wrap xvfb-run under the hood.
Currently I am struggling to grasp the details of glx and where it necessary comes from.
running xvfb-run -a -s +extension glx -- glxinfo
,
I get /usr/bin/xvfb-run: 183: /usr/bin/xvfb-run: glx: not found
Looking at the nvidia drivers which were installed due to the use of install-nvidia-driver=True
within the metadata of the GCP instance create command.
running nvidia-smi I get
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |
| N/A 33C P0 70W / 149W | 0MiB / 11441MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
What could be missing to cause glx to be missing from my instance? The instance was created with this command:
export IMAGE_FAMILY="tf-latest-gpu"
export ZONE="europe-west1-b"
export INSTANCE_NAME="INSTANCE_1"
export INSTANCE_TYPE="n1-standard-2"
gcloud compute instances create $INSTANCE_NAME
--zone=$ZONE
--image-family=tf-latest-gpu
--image-project="deeplearning-platform-release"
--maintenance-policy=TERMINATE
--accelerator="type=nvidia-tesla-k80,count=1"
--machine-type=$INSTANCE_TYPE
--boot-disk-size=120GB
--metadata="install-nvidia-driver=True"
apt google-cloud mesa
apt google-cloud mesa
asked Feb 23 at 22:22
QinustyQinusty
1
1
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