neuro cp
command. For example:cifar-10
folder on your platform storage.neuro share
command. cifar-10
storage folder with Alice and give her manage
-level access to it (this means she will be able to read, change, and delete files in this folder).data/remote:
value in the project's .neuro/live.yaml
file to keep the full URI of your data. This allows your teammates to use this data folder in their copies of the project (here, default
is the name of our default cluster, and bob
is your username on the platform):/data
folder in the local file system of the jobs you and your teammates work with.config
folder according to AWS and GCP guides. Note that Git doesn't track these tokens, so your teammates also have to put their tokens in their local copies of the project .neuro-flow build myimage
(this is a necessary step to perform every time you update pip dependencies in requirements.txt
or system requirements in apt.txt
). neuro-flow run jupyter
. Notebooks are saved in the <project>/notebooks
folder on your platform storage. To download them to the local copy of the project, run neuro-flow download notebooks
..neuro/live.yaml
for your train
job and run neuro-flow run train
. For example:HELP.md
file in your project folder.neuro ps
. neuro status <my-cool-job>
.jupyter-awesome-project
job with an ID of job-fb835ab1-5285-4360-8ee1-880a8ebf824c
with Alice (where awesome-project
is your project's slug), run:job://default/bob/jupyter-awesome-project
.write
-level access to your Jupyter Notebooks job, they can modify the notebooks on your platform storage. Therefore, to update those notebooks in the Git repository, you have to download them, commit, and push.--share <username>
when running it.neuro-flow build myimage
, additional dependencies you state in requirements.txt
and apt.txt
are installed in that environment, which is then saved on the platform's Docker registry. In this case, there is no need to share the images with teammates, as they build similar images from the same code base.images/myimage/ref
variable in the project's.neuro/live.yaml
file: