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e7c1e6a8e3
Here's the command I used to invoke autopep8 (in parallel!):
git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i
Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.
Also configures flake8 to match pep8's behavior.
Also configures TravisCI to check the whole project for lint.
48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
import sys
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import threading
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import torch
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from torch.autograd import Variable
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if sys.version_info[0] == 3:
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import queue
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else:
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import Queue as queue
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def parallel_apply(modules, inputs):
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assert len(modules) == len(inputs)
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# Fast track
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if len(modules) == 1:
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return (modules[0](inputs[0]),)
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lock = threading.Lock()
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results = {}
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def _worker(module, input, results, lock):
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var_input = input
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while not isinstance(var_input, Variable):
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var_input = var_input[0]
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try:
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with torch.cuda.device_of(var_input):
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output = module(input)
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with lock:
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results[input] = output
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except Exception as e:
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with lock:
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results[input] = e
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threads = [threading.Thread(target=_worker,
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args=(module, input, results, lock))
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for module, input in zip(modules, inputs)]
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for thread in threads:
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thread.start()
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for thread in threads:
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thread.join()
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outputs = []
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for i in inputs:
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output = results[i]
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if isinstance(output, Exception):
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raise output
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outputs.append(output)
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return outputs
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