introduced parallel processing for envs
This commit is contained in:
208
parallel.py
Normal file
208
parallel.py
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@@ -0,0 +1,208 @@
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import atexit
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import os
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import sys
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import time
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import traceback
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import enum
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from functools import partial as bind
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class Parallel:
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def __init__(self, ctor, strategy):
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self.worker = Worker(bind(self._respond, ctor), strategy, state=True)
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self.callables = {}
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def __getattr__(self, name):
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if name.startswith("_"):
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raise AttributeError(name)
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try:
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if name not in self.callables:
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self.callables[name] = self.worker(PMessage.CALLABLE, name)()
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if self.callables[name]:
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return bind(self.worker, PMessage.CALL, name)
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else:
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return self.worker(PMessage.READ, name)()
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except AttributeError:
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raise ValueError(name)
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def __len__(self):
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return self.worker(PMessage.CALL, "__len__")()
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def close(self):
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self.worker.close()
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@staticmethod
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def _respond(ctor, state, message, name, *args, **kwargs):
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state = state or ctor
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if message == PMessage.CALLABLE:
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assert not args and not kwargs, (args, kwargs)
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result = callable(getattr(state, name))
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elif message == PMessage.CALL:
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result = getattr(state, name)(*args, **kwargs)
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elif message == PMessage.READ:
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assert not args and not kwargs, (args, kwargs)
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result = getattr(state, name)
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return state, result
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class PMessage(enum.Enum):
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CALLABLE = 2
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CALL = 3
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READ = 4
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class Worker:
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initializers = []
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def __init__(self, fn, strategy="thread", state=False):
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if not state:
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fn = lambda s, *args, fn=fn, **kwargs: (s, fn(*args, **kwargs))
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inits = self.initializers
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self.impl = {
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"process": bind(ProcessPipeWorker, initializers=inits),
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"daemon": bind(ProcessPipeWorker, initializers=inits, daemon=True),
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}[strategy](fn)
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self.promise = None
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def __call__(self, *args, **kwargs):
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self.promise and self.promise() # Raise previous exception if any.
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self.promise = self.impl(*args, **kwargs)
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return self.promise
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def wait(self):
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return self.impl.wait()
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def close(self):
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self.impl.close()
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class ProcessPipeWorker:
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def __init__(self, fn, initializers=(), daemon=False):
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import multiprocessing
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import cloudpickle
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self._context = multiprocessing.get_context("spawn")
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self._pipe, pipe = self._context.Pipe()
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fn = cloudpickle.dumps(fn)
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initializers = cloudpickle.dumps(initializers)
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self._process = self._context.Process(
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target=self._loop, args=(pipe, fn, initializers), daemon=daemon
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)
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self._process.start()
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self._nextid = 0
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self._results = {}
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assert self._submit(Message.OK)()
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atexit.register(self.close)
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def __call__(self, *args, **kwargs):
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return self._submit(Message.RUN, (args, kwargs))
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def wait(self):
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pass
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def close(self):
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try:
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self._pipe.send((Message.STOP, self._nextid, None))
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self._pipe.close()
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except (AttributeError, IOError):
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pass # The connection was already closed.
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try:
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self._process.join(0.1)
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if self._process.exitcode is None:
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try:
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os.kill(self._process.pid, 9)
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time.sleep(0.1)
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except Exception:
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pass
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except (AttributeError, AssertionError):
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pass
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def _submit(self, message, payload=None):
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callid = self._nextid
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self._nextid += 1
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self._pipe.send((message, callid, payload))
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return Future(self._receive, callid)
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def _receive(self, callid):
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while callid not in self._results:
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try:
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message, callid, payload = self._pipe.recv()
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except (OSError, EOFError):
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raise RuntimeError("Lost connection to worker.")
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if message == Message.ERROR:
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raise Exception(payload)
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assert message == Message.RESULT, message
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self._results[callid] = payload
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return self._results.pop(callid)
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@staticmethod
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def _loop(pipe, function, initializers):
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try:
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callid = None
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state = None
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import cloudpickle
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initializers = cloudpickle.loads(initializers)
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function = cloudpickle.loads(function)
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[fn() for fn in initializers]
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while True:
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if not pipe.poll(0.1):
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continue # Wake up for keyboard interrupts.
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message, callid, payload = pipe.recv()
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if message == Message.OK:
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pipe.send((Message.RESULT, callid, True))
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elif message == Message.STOP:
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return
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elif message == Message.RUN:
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args, kwargs = payload
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state, result = function(state, *args, **kwargs)
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pipe.send((Message.RESULT, callid, result))
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else:
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raise KeyError(f"Invalid message: {message}")
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except (EOFError, KeyboardInterrupt):
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return
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except Exception:
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stacktrace = "".join(traceback.format_exception(*sys.exc_info()))
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print(f"Error inside process worker: {stacktrace}.", flush=True)
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pipe.send((Message.ERROR, callid, stacktrace))
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return
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finally:
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try:
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pipe.close()
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except Exception:
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pass
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class Message(enum.Enum):
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OK = 1
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RUN = 2
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RESULT = 3
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STOP = 4
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ERROR = 5
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class Future:
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def __init__(self, receive, callid):
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self._receive = receive
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self._callid = callid
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self._result = None
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self._complete = False
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def __call__(self):
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if not self._complete:
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self._result = self._receive(self._callid)
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self._complete = True
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return self._result
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class Damy:
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def __init__(self, env):
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self._env = env
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def __getattr__(self, name):
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return getattr(self._env, name)
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def step(self, action):
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return lambda :self._env.step(action)
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def reset(self):
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return lambda :self._env.reset()
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