Open ChrisCummins opened 3 years ago
cc @hughleat
I noticed this problem when I implemented an algorithm that env.fork()
a lot and sometimes I forgot to env.close()
or the program is interrupted. What I really want to address this problem (indirectly) is to have a context manager for compiler environment class.
e.g.,
with compiler_gym.make("llvm-v0") as env:
# do something here
with env.fork() as fork:
# do more things here
contextlib.closing
can partly do this job already, but it would be nice to have native support. If we have such support, it should be the recommended way of managing compiler gym environments, like with open(...) as ...
is THE way of opening files in Python.
Hi @uduse, I believe what you want is already implemented in the base gym API. CompilerGym environments created by make()
and fork()
should be used in context managers. Adapting your example:
import os
import compiler_gym
def is_running(pid):
try:
os.kill(pid, 0)
return True
except OSError:
return False
# Demo make():
with compiler_gym.make("llvm-v0") as env:
env_pid = env.service.connection.process.pid
print("Environment", ("running" if is_running(env_pid) else "exited"))
# Demo fork():
with env.fork() as fkd:
fkd_pid = env.service.connection.process.pid
print("Forked", ("running" if is_running(fkd_pid) else "exited"))
# Check whether environments have closed:
print()
print("Environment", ("running" if is_running(env_pid) else "exited"))
print("Forked", ("running" if is_running(fkd_pid) else "exited"))
Produces output:
Environment running
Forked running
Environment exited
Forked exited
See this colab notebook.
Cheers, Chris
@ChrisCummins Oh thanks for letting me know! I checked the source code and didn't find __enter__
and totally ignored the possibility that it's defined it gym's base class 😛 Guess I should use dir(var)
to check if an implementation exists.
How about the orphan executables like these? Should we also kill them manually (using grep, xargs, kill command)?
How about the orphan executables like these?
Yes, those are safe to kill. Those processes are cBench binaries which are used to compute runtime
. If they refuse to complete within a specified timeout (default 5 min), the process will be abandoned. Adding proper subprocess timeout would be a nice feature. The code is here:
Cheers, Chris
🐛 Bug
CompilerGym uses a client/service architecture. Every time a
CompilerEnv
object is created, a CompilerService subprocess is started. The lifetime of the subprocess is managed by theCompilerEnv
. CallingCompilerEnv.close()
terminates the service:If for some reason
CompilerEnv.close()
is not called (either through a system or user error), the CompilerService will not be killed and will remain dormant indefinitely.To Reproduce
In one terminal, open a python interpreter and start a CompilerGym environment. Make a note of the interpreter and the environment's service process IDs:
In another terminal, kill the interpreter process, and observe that the CompilerGym environment's service is still running:
That process will remain dormant until explicitly killed, or the machine is rebooted.
Expected behavior
After some period of inactivity, the service should realize that it is no longer being used and should gracefully shutdown.
To the best of my understanding, it is not possible to guarantee that a subprocess shutdown routine can be called by the parent process, so the proposed workaround is to have a 'time to live' timer on each subprocess which will shut itself down if that period of inactivity is reached.
Workaround
If you suspect that there are dormant LLVM CompilerGym services and you are not currently running any CompilerGym python scripts, you can manually kill them using:
although this does not tidy up any temporary cache files that the environments have created.
Environment
Please fill in this checklist:
Additional context
See the documentation for more background on CompilerGym's client/service architecture.