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fbdafdffa1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/19952 Reviewed By: houseroad Differential Revision: D15145552 fbshipit-source-id: e0074c878a5c164324a9cc477783285dedffd188
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
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 core, dyndep
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from hypothesis import given
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import caffe2.python.hypothesis_test_util as hu
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import hypothesis.strategies as st
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import numpy as np
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class TestBucketizeOp(hu.HypothesisTestCase):
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@given(
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x=hu.tensor(
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min_dim=1, max_dim=2, dtype=np.float32,
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elements=st.floats(min_value=-5, max_value=5)),
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**hu.gcs)
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def test_bucketize_op(self, x, gc, dc):
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length = np.random.randint(low=1, high=5)
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boundaries = np.random.randn(length) * 5
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boundaries.sort()
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def ref(x, boundaries):
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bucket_idx = np.digitize(x, boundaries, right=True)
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return [bucket_idx]
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op = core.CreateOperator('Bucketize',
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["X"], ["INDICES"],
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boundaries=boundaries)
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self.assertReferenceChecks(gc, op, [x, boundaries], ref)
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if __name__ == "__main__":
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import unittest
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unittest.main()
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