main
version. Click here to see docs for the latest stable version.Below, we describe how to access log outputs and show a sample debugging flow. We are still currently working on making logs more accessible and improving the debugging flow.
There are two main ways to access logs.
Logs are automatically output onto the cluster, in the file ~/.rh/cluster_server_<cluster_name>.log
.
You can ssh into the cluster with ssh cluster-name
to access these logs.
Alternatively, to see logs on your local machine while running a remote function, you can add the
stream_logs=True
argument to your function call.
remote_fn = rh.function(fn) fn(fn_args, stream_logs=True)
You can set the log level to control the verbosity of the Runhouse logs. You can adjust the log level by
setting the environment variable RH_LOG_LEVEL
to your desired level.
For general debugging that doesn’t occur within remote function calls, you can add
breakpoint()
wherever you want to set your debugging session.
If the code is being run locally at the point of the debugger, you’ll be able to access the session from your
local machine. If the code is being run remotely on a cluster, you will need to ssh into the cluster with
ssh cluster-name
, and then run screen -r
inside the cluster. From there, you will see the RPC logs
being printed out, and can debug normally inside the screen
.
Note
When debugging inside screen
, please use Ctrl A+D
to exit out of the screen. Do NOT use Ctrl C
,
which will terminate the RPC server.
If you accidentally terminate the RPC server, you can run cluster.restart_server()
to restart the
server.
For debugging remote functions, which are launched using ray
, we can utilize Ray’s debugger. Add a
breakpoint()
call inside the function where you want to start the debugging session, then ssh into the
cluster with ssh cluster-name
, and call ray debug
to view select the breakpoint to enter. You can run
normal pdb
commands within the debugging session, and can refer to
Ray Debugger for more information.