hello, i tried debug into the trainable
function, but it cannot enter, Does there are any other methods available?
def trainable(config, metric):
...
estimator.fit()
...
hello, i tried debug into the trainable
function, but it cannot enter, Does there are any other methods available?
def trainable(config, metric):
...
estimator.fit()
...
@zmin1217 By debug do you mean step-by debugger in an IDE? There is way to step into
a Ray remote function. Check the docs here.
Not sure if you can step o into a trainable, which is invoked from within a Trainer class.
cc: @xwjiang2010 any hints how to debug a Trainer’s trainable function?
@Jules_Damji Thank you for your reply. it is step-by debugger in an IDE(Pycharm). and i set local_mode=True
, it works as following:
ray.init(local_mode=True)
@zmin1217 What happens when you follow the instructions in the docs how to use the debugger? Does it work?
@Jules_Damji i am not using the ray debugger
. Just finding the parameter local_mode
doc of ray.init()
says it will be executed serially, and it works.