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27c7158166
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
65 lines
1.5 KiB
Python
65 lines
1.5 KiB
Python
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from caffe2.python import core
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.serialized_test.serialized_test_util as serial
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from hypothesis import given
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import hypothesis.strategies as st
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import numpy as np
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import unittest
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class TestMean(serial.SerializedTestCase):
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@serial.given(
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k=st.integers(1, 5),
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n=st.integers(1, 10),
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m=st.integers(1, 10),
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in_place=st.booleans(),
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seed=st.integers(0, 2**32 - 1),
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**hu.gcs
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)
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def test_mean(self, k, n, m, in_place, seed, gc, dc):
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np.random.seed(seed)
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input_names = []
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input_vars = []
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for i in range(k):
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X_name = 'X' + str(i)
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input_names.append(X_name)
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var = np.random.randn(n, m).astype(np.float32)
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input_vars.append(var)
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def mean_ref(*args):
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return [np.mean(args, axis=0)]
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op = core.CreateOperator(
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"Mean",
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input_names,
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['Y' if not in_place else 'X0'],
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)
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self.assertReferenceChecks(
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device_option=gc,
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op=op,
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inputs=input_vars,
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reference=mean_ref,
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)
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self.assertGradientChecks(
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device_option=gc,
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op=op,
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inputs=input_vars,
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outputs_to_check=0,
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outputs_with_grads=[0],
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)
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self.assertDeviceChecks(dc, op, input_vars, [0])
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if __name__ == "__main__":
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unittest.main()
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