KushajveerSingh

> docker login --username kushaj
> docker tag test:0.1 kushaj/pytorch:1.9.0
> docker push kushaj/pytorch:1.9.0

KushajveerSingh

> docker login --username {USERNAME}
> docker tag <REPOSITORY>:<TAG> {USERNAME}/<REPOSITORY>:<TAG>
> docker push {USERNAME}/<REPOSITORY>:<TAG>

KushajveerSingh

> docker container ls -a
CONTAINER ID   IMAGE     COMMAND   CREATED              STATUS                     PORTS  NAMES
d5367ac6cf01   test:0.2  "bash"    3 seconds ago        Up 2 seconds                      temp_2
20ebc6bca143   test:0.2  "bash"    5 minutes ago        Exited (0) 5 minutes ago          temp_1

KushajveerSingh

docker image ls
> REPOSITORY                TAG          IMAGE ID       CREATED         SIZE
test                      0.1          e3a710895926   20 hours ago    10.8GB
test                      latest       9419a081213b   5 days ago      63.1MB
<none>                    <none>       4734a6f5567e   5 days ago      63.1MB
<none>                    <none>       7deb7fdc3b5e   5 days ago      63.1MB

> docker image prune
WARNING! This will remove all dangling images.
Are you sure you want to continue? [y/N] y

KushajveerSingh

> docker image rm 16379d98ded4
Deleted: sha256:16379d98ded4a6a90d02f8709ca27ba4c9abe750ba948b5de9096607599e8ce0

> docker image rm test:0.3
Untagged: test:0.3
Deleted: sha256:fdc3055dbe5f7239a4371f5abb6da4fdced836ff6278b19a2d70a8b654a85d04

KushajveerSingh

> docker image ls
REPOSITORY                TAG          IMAGE ID       CREATED         SIZE
test                      0.1          e3a710895926   19 hours ago    7.47GB
ubuntu                    18.04        5a214d77f5d7   5 days ago      63.1MB

KushajveerSingh

> DOCKER_BUILDKIT=1 docker build \
    -t {REPOSITORY_1}:{TAG_1} -t {REPOSITORY_2}:{TAG_2} \
    -f /path/to/Dockerfile \
    /path/to/build/context

KushajveerSingh

(base) default@7d9b75595a27:~$ python
Python 3.9.7 (default, Sep 16 2021, 13:09:58) 
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.cuda.is_available()
True
>>> torch.backends.cudnn.version()
8005
>>> x = torch.tensor([1,2], device='cuda:0')

KushajveerSingh

default@a7f862b6bf73:~$ nvidia-smi
Wed Oct  6 05:54:35 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.91.03    Driver Version: 460.91.03    CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Quadro M1200        Off  | 00000000:01:00.0  On |                  N/A |

KushajveerSingh

RUN pip install numpy && \
    conda install pytorch torchvision cudatoolkit=11.1 -c pytorch -c nvidia