Files
deprecated-helm-charts/stable/distributed-tensorflow/values.yaml
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Szymon Piotr KrasuskiandKubernetes Prow Robot 19b4b54a39 [stable/distributed-tensorflow] Add custom variable to set number of training steps. (#16436)
* Add custom variable to set number of trainign steps.

By default script run in cheyang/distributed-tensorflow container
runs with flag train_steps set to 0 which means that
script will be running inifitely,

However, it's to possible to set this flag to fixed number
which will make script to run only passed number of training
steps and stop.

This change adds custom variable in hyperparams that lets user set
custom value for training steps.

Signed-off-by: Szymon <krasuski.szymon.piotr@gmail.com>

* Bump chart version

Signed-off-by: Szymon <krasuski.szymon.piotr@gmail.com>
2019-10-21 08:51:37 -07:00

26 lines
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YAML

# Default values for distributed-tensorflow.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
worker:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0
pullPolicy: IfNotPresent
port: 9000
# gpuCount: 2
ps:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0
pullPolicy: IfNotPresent
port: 8000
# optimize for training
hyperparams:
batchsize: 20
learningrate: 0.001
trainsteps: 0