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https://github.com/zebrajr/pytorch.git
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e3a7c78f04
Summary: parallel_workers supports calling a custom function "init_fun" when WorkerCoordinators are started which is passed in as an argument to init_workers. Adding an analogous argument "shutdown_fun" which gets passed in to init_workers, and gets called when a WorkerCoordinator is stopped. This allows users of the parallel_workers to add custom cleanup logic before the workers are stopped. Reviewed By: akyrola Differential Revision: D6020788 fbshipit-source-id: 1e1d8536a304a35fc9553407727da36446c668a3
126 lines
3.7 KiB
Python
126 lines
3.7 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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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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import unittest
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from caffe2.python import workspace, core
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import caffe2.python.parallel_workers as parallel_workers
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def create_queue():
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queue = 'queue'
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workspace.RunOperatorOnce(
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core.CreateOperator(
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"CreateBlobsQueue", [], [queue], num_blobs=1, capacity=1000
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)
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)
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return queue
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def create_worker(queue, get_blob_data):
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def dummy_worker(worker_id):
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blob = 'blob_' + str(worker_id)
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workspace.FeedBlob(blob, get_blob_data(worker_id))
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workspace.RunOperatorOnce(
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core.CreateOperator(
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'SafeEnqueueBlobs', [queue, blob], [blob, 'status_blob']
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)
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)
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return dummy_worker
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def dequeue_value(queue):
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dequeue_blob = 'dequeue_blob'
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workspace.RunOperatorOnce(
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core.CreateOperator(
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"SafeDequeueBlobs", [queue], [dequeue_blob, 'status_blob']
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)
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)
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return workspace.FetchBlob(dequeue_blob)
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class ParallelWorkersTest(unittest.TestCase):
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def testParallelWorkers(self):
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workspace.ResetWorkspace()
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queue = create_queue()
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dummy_worker = create_worker(queue, lambda worker_id: str(worker_id))
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worker_coordinator = parallel_workers.init_workers(dummy_worker)
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worker_coordinator.start()
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for _ in range(10):
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value = dequeue_value(queue)
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self.assertTrue(
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value in [b'0', b'1'], 'Got unexpected value ' + str(value)
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)
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self.assertTrue(worker_coordinator.stop())
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def testParallelWorkersInitFun(self):
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workspace.ResetWorkspace()
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queue = create_queue()
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dummy_worker = create_worker(
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queue, lambda worker_id: workspace.FetchBlob('data')
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)
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workspace.FeedBlob('data', 'not initialized')
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def init_fun(worker_coordinator, global_coordinator):
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workspace.FeedBlob('data', 'initialized')
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worker_coordinator = parallel_workers.init_workers(
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dummy_worker, init_fun=init_fun
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)
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worker_coordinator.start()
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for _ in range(10):
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value = dequeue_value(queue)
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self.assertEqual(
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value, b'initialized', 'Got unexpected value ' + str(value)
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)
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self.assertTrue(worker_coordinator.stop())
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def testParallelWorkersShutdownFun(self):
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workspace.ResetWorkspace()
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queue = create_queue()
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dummy_worker = create_worker(queue, lambda worker_id: str(worker_id))
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workspace.FeedBlob('data', 'not shutdown')
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def shutdown_fun():
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workspace.FeedBlob('data', 'shutdown')
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worker_coordinator = parallel_workers.init_workers(
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dummy_worker, shutdown_fun=shutdown_fun
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)
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worker_coordinator.start()
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self.assertTrue(worker_coordinator.stop())
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data = workspace.FetchBlob('data')
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self.assertEqual(data, b'shutdown', 'Got unexpected value ' + str(data))
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