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https://github.com/zebrajr/pytorch.git
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b7783a1976
Summary: ContextManager was thread local. This caused issues because the context registration needs to be global. What needs to be thread local is the current context. Reviewed By: jhcross Differential Revision: D4556050 fbshipit-source-id: 5de1c0d9fd0a778c4cb1eadef01f9a1ab488f603
36 lines
951 B
Python
36 lines
951 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import context, test_util
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from threading import Thread
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@context.define_context()
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class MyContext(object):
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pass
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class TestContext(test_util.TestCase):
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def use_my_context(self):
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try:
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for _ in range(100):
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with MyContext() as a:
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for _ in range(100):
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self.assertTrue(MyContext.current() == a)
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except Exception as e:
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self._exceptions.append(e)
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def testMultiThreaded(self):
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threads = []
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self._exceptions = []
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for _ in range(8):
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thread = Thread(target=self.use_my_context)
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thread.start()
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threads.append(thread)
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for t in threads:
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t.join()
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for e in self._exceptions:
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raise e
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