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Original file line number | Diff line number | Diff line change |
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# Copyright 2024 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# https://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
import multiprocessing.connection | ||
import time | ||
from typing import Any, Callable, Dict, List, Optional, Tuple | ||
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from attrs import define | ||
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from qualtran import Bloq | ||
from qualtran.simulation.tensor import cbloq_to_quimb | ||
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@define | ||
class _Pending: | ||
"""Helper dataclass to track currently executing processes in `ExecuteWithTimeout`.""" | ||
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p: multiprocessing.Process | ||
recv: multiprocessing.connection.Connection | ||
start_time: float | ||
kwargs: Dict[str, Any] | ||
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class ExecuteWithTimeout: | ||
"""Execute tasks in processes where each task will be killed if it exceeds `timeout`. | ||
Seemingly all the existing "timeout" parameters in the various built-in concurrency | ||
primitives in Python won't actually terminate the process. This one does. | ||
""" | ||
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def __init__(self, timeout: float, max_workers: int): | ||
self.timeout = timeout | ||
self.max_workers = max_workers | ||
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self.queued: List[Tuple[Callable, Dict[str, Any]]] = [] | ||
self.pending: List[_Pending] = [] | ||
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@property | ||
def work_to_be_done(self) -> int: | ||
"""The number of tasks currently executing or queued.""" | ||
return len(self.queued) + len(self.pending) | ||
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def submit(self, func: Callable, kwargs: Dict[str, Any]) -> None: | ||
"""Add a task to the queue. | ||
`func` must be a callable that can accept `kwargs` in addition to | ||
a keyword argument `cxn` which is a multiprocessing `Connection` object that forms | ||
the sending-half of a `mp.Pipe`. The callable must call `cxn.send(...)` | ||
to return a result. | ||
""" | ||
self.queued.append((func, kwargs)) | ||
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def _submit_from_queue(self): | ||
# helper method that takes an item from the queue, launches a process, | ||
# and records it in the `pending` attribute. This must only be called | ||
# if we're allowed to spawn a new process. | ||
func, kwargs = self.queued.pop(0) | ||
recv, send = multiprocessing.Pipe(duplex=False) | ||
kwargs['cxn'] = send | ||
p = multiprocessing.Process(target=func, kwargs=kwargs) | ||
start_time = time.time() | ||
p.start() | ||
self.pending.append(_Pending(p=p, recv=recv, start_time=start_time, kwargs=kwargs)) | ||
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def _scan_pendings(self) -> Optional[_Pending]: | ||
# helper method that goes through the currently pending tasks, terminates the ones | ||
# that have been going on too long, and accounts for ones that have finished. | ||
# Returns the `_Pending` of the killed or completed job or `None` if each pending | ||
# task is still running but none have exceeded the timeout. | ||
for i in range(len(self.pending)): | ||
pen = self.pending[i] | ||
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if not pen.p.is_alive(): | ||
self.pending.pop(i) | ||
pen.p.join() | ||
return pen | ||
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if time.time() - pen.start_time > self.timeout: | ||
pen.p.terminate() | ||
self.pending.pop(i) | ||
return pen | ||
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return None | ||
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def next_result(self) -> Tuple[Dict[str, Any], Optional[Any]]: | ||
"""Get the next available result. | ||
This call is blocking, but should never take longer than `self.timeout`. This should | ||
be called in a loop to make sure the queue continues to be processed. | ||
Returns: | ||
task kwargs: The keyword arguments used to submit the task. | ||
result: If the process finished successfully, this is the object that was | ||
sent through the multiprocessing pipe as the result. Otherwise, the result | ||
is None. | ||
""" | ||
while len(self.queued) > 0 and len(self.pending) < self.max_workers: | ||
self._submit_from_queue() | ||
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while True: | ||
finished = self._scan_pendings() | ||
if finished is not None: | ||
break | ||
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if finished.p.exitcode == 0: | ||
result = finished.recv.recv() | ||
else: | ||
result = None | ||
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finished.recv.close() | ||
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while len(self.queued) > 0 and len(self.pending) < self.max_workers: | ||
self._submit_from_queue() | ||
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return (finished.kwargs, result) | ||
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def report_on_tensors(name: str, cls_name: str, bloq: Bloq, cxn) -> None: | ||
"""Get timing information for tensor functionality. | ||
This should be used with `ExecuteWithTimeout`. The resultant | ||
record dictionary is sent over `cxn`. | ||
""" | ||
record: Dict[str, Any] = {'name': name, 'cls': cls_name} | ||
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try: | ||
start = time.perf_counter() | ||
flat = bloq.as_composite_bloq().flatten() | ||
record['flat_dur'] = time.perf_counter() - start | ||
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start = time.perf_counter() | ||
tn = cbloq_to_quimb(flat) | ||
record['tn_dur'] = time.perf_counter() - start | ||
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start = time.perf_counter() | ||
record['width'] = tn.contraction_width() | ||
record['width_dur'] = time.perf_counter() - start | ||
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except Exception as e: # pylint: disable=broad-exception-caught | ||
record['err'] = str(e) | ||
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cxn.send(record) |
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flynt~=0.60 | ||
black~=22.3.0 | ||
black~=24.8.0 | ||
isort~=5.10.1 |
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