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Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
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import numpy as np
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import caffe2.python.models.shufflenet as shufflenet
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import hypothesis.strategies as st
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from hypothesis import given, settings
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.models.imagenet_trainer_test_utils as utils
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class ShufflenetMemongerTest(hu.HypothesisTestCase):
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@given(with_shapes=st.booleans(), **hu.gcs_cpu_only)
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@settings(max_examples=2, deadline=None)
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def test_shufflenet_shared_grads(self, with_shapes, gc, dc):
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results = utils.test_shared_grads(
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with_shapes,
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shufflenet.create_shufflenet,
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'gpu_0/stage1_conv_w',
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'gpu_0/last_out_L1000'
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)
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self.assertTrue(results[0][0] < results[0][1])
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np.testing.assert_almost_equal(results[1][0], results[1][1])
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np.testing.assert_almost_equal(results[2][0], results[2][1])
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def test_shufflenet_forward_only(self):
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results = utils.test_forward_only(
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shufflenet.create_shufflenet,
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'gpu_0/last_out_L1000'
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)
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self.assertTrue(results[0][0] < results[0][1])
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self.assertTrue(results[1] < 10 and results[1] > 0)
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np.testing.assert_almost_equal(results[2][0], results[2][1])
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def test_shufflenet_forward_only_fast_simplenet(self):
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'''
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Test C++ memonger that is only for simple nets
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'''
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results = utils.test_forward_only_fast_simplenet(
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shufflenet.create_shufflenet,
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'gpu_0/last_out_L1000'
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)
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self.assertTrue(results[0][0] < results[0][1])
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self.assertTrue(results[1] < 4 and results[1] > 0)
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np.testing.assert_almost_equal(results[2][0], results[2][1])
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if __name__ == "__main__":
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import unittest
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import random
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random.seed(2006)
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workspace.GlobalInit([
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'caffe2',
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'--caffe2_log_level=0',
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'--caffe2_print_blob_sizes_at_exit=0',
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'--caffe2_gpu_memory_tracking=1'])
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unittest.main()
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