Warning: This project is deprecated.
tfc.run_cloudtuner
Stay organized with collections
Save and categorize content based on your preferences.
A wrapper for tfc.run that allows for running concurrent CloudTuner jobs.
tfc.run_cloudtuner(
num_jobs=1, **kwargs
)
This method takes the same parameters as tfc.run() and it allows duplicating
a job multiple times to enable running parallel tuning jobs using
CloudTuner. All jobs are identical except they will have a unique
KERASTUNER_TUNER_ID environment variable set in the cluster to enable tuning
job concurrency. This feature is only supported in Notebooks and Colab.
Args |
|---|
num_jobs
|
Number of concurrent jobs to be submitted to AI Platform
training. Note that these are clones of the same job that are executed
independently. Setting this value to 1 is identical to just calling
tfc.run().
|
**kwargs
|
keyword arguments for tfc.run().
|
Returns |
|---|
|
A dictionary with two keys.'job_ids' - a list of training job ids
and 'docker_image'- Docker image generated for the training job.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-05-19 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-05-19 UTC."],[],[]]
View source on GitHub