kandi X-RAY | NetworkProject Summary
kandi X-RAY | NetworkProject Summary
NetworkProject
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Starts client service
- Parses the command and validates the command
- Takes a string and converts it to a hash map
- Parses single flag and returns the pair
- Reads the next command
- Gets the command
- Parse a string to receive type
- Gets the required flags
- Validates the given command type
- Gets the name
- The IP address of the IP
- Gets the path
- Runs the daemon
- Main method
NetworkProject Key Features
NetworkProject Examples and Code Snippets
Community Discussions
Trending Discussions on NetworkProject
QUESTION
I trained multiple models with different configuration for a custom hyperparameter search. I use pytorch_lightning and its logging (TensorboardLogger). When running my training script after Task.init() ClearML auto-creates a Task and connects the logger output to the server.
I log for each straining stage train
, val
and test
the following scalars at each epoch: loss
, acc
and iou
When I have multiple configuration, e.g. networkA
and networkB
the first training log its values to loss
, acc
and iou
, but the second to networkB:loss
, networkB:acc
and networkB:iou
. This makes values umcomparable.
My training loop with Task initalization looks like this:
...ANSWER
Answered 2021-Feb-19 at 22:31Disclaimer I'm part of the ClearML (formerly Trains) team.
pytorch_lightning
is creating a new Tensorboard for each experiment. When ClearML logs the TB scalars, and it captures the same scalar being re-sent again, it adds a prefix so if you are reporting the same metric it will not overwrite the previous one. A good example would be reporting loss
scalar in the training phase vs validation phase (producing "loss" and "validation:loss"). It might be the task.close()
call does not clear the previous logs, so it "thinks" this is the same experiment, hence adding the prefix networkB
to the loss
. As long as you are closing the Task after training is completed you should have all experiments log with the same metric/variant (title/series). I suggest opening a GitHub issue, this should probably be considered a bug.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NetworkProject
You can use NetworkProject like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the NetworkProject component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page