Patch Note 2019-04-30 – Valohai Help

Platform changes

nvidia-docker 2 is now used as the runtime engine. This allows using images built on more recent CUDA setups, such as the official Tensorflow 1.13 images.
S3 inputs are much faster to resolve.
Enterprise users with custom environments can now set the grace period after which servers can be scaled down. It defaults to 15 minutes.
When available, the original creation and modification times of Datums are now acquired from workers.
When enough memory is available, /tmp is now a tmpfs (RAM disk) on agent machines by default. You can explicitly enable or disable this per-execution by setting the VH_TMPFS environment variable to 0 or 1.
Carriage Return (\r) characters are now better supported by the execution agent, so progress bars such as those emitted by the popular tqdm module should work much better.
Projects' queued/started execution counts are now shown in the dashboard.

Docker image formats are now validated.
Multiple input defaults are now supported in the UI.
The job running agent won't attempt to download all inputs in parallel anymore.
Input files are cached for a longer time.
Jobs should finish faster, since less redundant information is saved.
The agent software will now consider 301 Redirects without a Location header erroneous. (This mainly concerns S3 URLs with an invalid addressing scheme.)

A new version of the CLI tool was also released with a lot of new features and quality-of-life improvements.

Build your own Valohai integrations using our API driver mode.

You can now use Valohai-CLI without a linked project aka. API driver mode.
See the documentation for this feature here.
A new --sync flag was added to sync/download execution outputs as they come in.
This is useful for TensorBoard support among other things.
You can now see the GPU available in an environment with vh env --gpu.
Ad-hoc commit management was improved.
Attempt to git describe when packaging ad-hoc commits
Add validation of ad-hoc package and file sizes
Check whether we already know a particular adhoc commit to avoid reuploading it
Errors from the API are now formatted in a more human-readable way.
Python 2 support is being dropped due to its end-of-life approaching.