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e650a84872
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15250 This adds `__repr__` methods to all of the classes under task.py. This makes the objects much easier to interact with when using them in an interactive manner, such as in a Jupyter notebook. The default `__repr__` method just returns the object ID which is very unhelpful. Reviewed By: hanli0612 Differential Revision: D13475758 fbshipit-source-id: 6e1b166ec35163b9776c797b6a2e0d002560cd29
25 lines
858 B
Python
25 lines
858 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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import unittest
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from caffe2.python import task
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class TestTask(unittest.TestCase):
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def testRepr(self):
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cases = [
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(task.Cluster(), "Cluster(nodes=[], node_kwargs={})"),
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(task.Node(), "Node(name=local, kwargs={})"),
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(
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task.TaskGroup(),
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"TaskGroup(tasks=[], workspace_type=None, remote_nets=[])",
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),
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(task.TaskOutput([]), "TaskOutput(names=[], values=None)"),
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(task.Task(), "Task(name=local/task, node=local, outputs=[])"),
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(task.SetupNets(), "SetupNets(init_nets=None, exit_nets=None)"),
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]
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for obj, want in cases:
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self.assertEqual(obj.__repr__(), want)
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