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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/52083 This makes minor fixes in `caffe2/python` to address all errors currently reported by Pyre. I update the code to fix errors when doing so looked simple and safe, and added `pyre-fixme` comments in other places. ghstack-source-id: 121109695 Test Plan: Confirmed that Pyre no longer reports errors under `caffe2/python` Differential Revision: D26272279 fbshipit-source-id: b1eb19d323b613f23280ce9c71e800e874ca1162
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
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import numpy as np
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import caffe2.python.models.resnet as resnet
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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 ResnetMemongerTest(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_resnet_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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resnet.create_resnet50,
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'gpu_0/conv1_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_resnet_forward_only(self):
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results = utils.test_forward_only(
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resnet.create_resnet50,
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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] < 7 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_resnet_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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resnet.create_resnet50,
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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(2603)
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# pyre-fixme[10]: Name `workspace` is used but not defined in the current scope
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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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