pytorch/caffe2/python/operator_test/ceil_op_test.py
Bugra Akyildiz 27c7158166 Remove __future__ imports for legacy Python2 supports (#45033)
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
2020-09-23 17:57:02 -07:00

39 lines
888 B
Python

from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
from hypothesis import given, settings
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
import unittest
class TestCeil(serial.SerializedTestCase):
@given(X=hu.tensor(),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs)
@settings(deadline=10000)
def test_ceil(self, X, gc, dc, engine):
op = core.CreateOperator("Ceil", ["X"], ["Y"], engine=engine)
def ceil_ref(X):
return (np.ceil(X),)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[X],
reference=ceil_ref)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [X], [0])
if __name__ == "__main__":
unittest.main()