[
https://issues.apache.org/jira/browse/SINGA-412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
wangwei updated SINGA-412:
--------------------------
Description:
The current visualization API in the Rafiki model.py can be simplified.
{code:java}
class Logger:
''' For logging data to web front-end.
It supports logging text messages via log(prefix), and logging key-value
pairs log(**kwargs), e.g., log(loss=0.1, accuracy=0.4, epoch=1, step=34); To
visualize the data on the web page, the plot has to be defined before logging
the data via define_plot().
TODO log (numpy) array.
Example:
log = Logger()
log.log('start training')
log.define_plot('train loss and accuracy', yaxes=['loss', 'acc'],
xaxis='epoch')
for epoch in range(10):
log.log(loss=0.1, acc=0.4, epoch=epoch)
# or
# log.log(loss=0.1, epoch=epoch)
# log.log(acc=0.4, epoch=epoch)
'''
def define_plot(name, yaxes = ['loss'], xaxis='epoch')
''' define the plot to be visualized in the web page.
Args:
name: string for plot name.
yaxes: a list of string for the names of the items/metrics, e.g., loss,
accuracy, learning rate, etc. One name corresponds to one key in log().
xaxis: string for the xaxis, e.g., epoch or step to indicate the
progress. It also corresponds to on key in log().
'''
def log(prefix='', **kwargs)
''' log one piece of msg and key-val pairs.
Args:
prefix: text string.
kwargs: key-value pairs. key is a string and value is a number. To
visualize one key-value, the plot must be defined via define_plot, and the key
must be included in the yaxes, and another key must be the xaxis. For example,
the loss and acc in log(loss=0.1, acc=0.4, epoch=1, step=34) can be visualized
in the plot generated by define_plot('loss and acc', yaxes=['loss', 'acc'],
xaxis='epoch')
'''
{code}
For each log entry, we must also keep the time. In the front end, we can plot
either the yaxes-xaxis or yaxes-time.
was:
The current visualization API in the Rafiki model.py can be simplified.
{code:java}
class Logger:
''' For logging data to web front-end.
It supports logging text messages via log(prefix), and logging key-value
pairs log(**kwargs), e.g., log(loss=0.1, accuracy=0.4, epoch=1, step=34); To
visualize the data on the web page, the plot has to be defined before logging
the data via define_plot().
TODO log (numpy) array.
Example:
log = Logger()
log.log('start training')
log.define_plot('train loss and accuracy', yaxes=['loss', 'acc'],
xaxis='epoch')
for epoch in range(10):
log.log(loss=0.1, acc=0.4, epoch=epoch)
# or
# log.log(loss=0.1, epoch=epoch)
# log.log(acc=0.4, epoch=epoch)
'''
def define_plot(name, yaxes = ['loss'], xaxis='epoch')
''' define the plot to be visualized in the web page.
Args:
name: string for plot name.
yaxes: a list of string for the names of the items/metrics, e.g., loss,
accuracy, learning rate, etc. One name corresponds to one key in log().
xaxis: string for the xaxis, e.g., epoch or step to indicate the
progress. It also corresponds to on key in log().
'''
def log(prefix='', **kwargs)
''' log one piece of msg and key-val pairs.
Args:
prefix: text string.
kwargs: key-value pairs. key is a string and value is a number. To
visualize one key-value, the plot must be defined via define_plot, and the key
must be included in the yaxes, and another key must be the xaxis. For example,
the loss and acc in log(loss=0.1, acc=0.4, epoch=1, step=34) can be visualized
in the plot generated by define_plot('loss and acc', yaxes=['loss', 'acc'],
xaxis='epoch')
'''
{code}
For each log entry, we must also keep the time. In the front end, we can plot
either the yaxes-xaxis or yaxes-time.
> Log visualization API
> ---------------------
>
> Key: SINGA-412
> URL: https://issues.apache.org/jira/browse/SINGA-412
> Project: Singa
> Issue Type: Improvement
> Reporter: wangwei
> Priority: Major
>
> The current visualization API in the Rafiki model.py can be simplified.
> {code:java}
> class Logger:
> ''' For logging data to web front-end.
>
> It supports logging text messages via log(prefix), and logging key-value
> pairs log(**kwargs), e.g., log(loss=0.1, accuracy=0.4, epoch=1, step=34); To
> visualize the data on the web page, the plot has to be defined before logging
> the data via define_plot().
> TODO log (numpy) array.
> Example:
> log = Logger()
> log.log('start training')
> log.define_plot('train loss and accuracy', yaxes=['loss', 'acc'],
> xaxis='epoch')
> for epoch in range(10):
> log.log(loss=0.1, acc=0.4, epoch=epoch)
> # or
> # log.log(loss=0.1, epoch=epoch)
> # log.log(acc=0.4, epoch=epoch)
> '''
> def define_plot(name, yaxes = ['loss'], xaxis='epoch')
> ''' define the plot to be visualized in the web page.
> Args:
> name: string for plot name.
> yaxes: a list of string for the names of the items/metrics, e.g.,
> loss, accuracy, learning rate, etc. One name corresponds to one key in log().
> xaxis: string for the xaxis, e.g., epoch or step to indicate the
> progress. It also corresponds to on key in log().
> '''
> def log(prefix='', **kwargs)
> ''' log one piece of msg and key-val pairs.
>
> Args:
> prefix: text string.
> kwargs: key-value pairs. key is a string and value is a number. To
> visualize one key-value, the plot must be defined via define_plot, and the
> key must be included in the yaxes, and another key must be the xaxis. For
> example, the loss and acc in log(loss=0.1, acc=0.4, epoch=1, step=34) can be
> visualized in the plot generated by define_plot('loss and acc',
> yaxes=['loss', 'acc'], xaxis='epoch')
> '''
> {code}
> For each log entry, we must also keep the time. In the front end, we can plot
> either the yaxes-xaxis or yaxes-time.
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