pytorch/caffe2/python/ideep/softmax_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

35 lines
932 B
Python

import unittest
import hypothesis.strategies as st
from hypothesis import given
import numpy as np
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.ideep_test_util as mu
@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class SoftmaxTest(hu.HypothesisTestCase):
@given(size=st.integers(8, 20),
input_channels=st.integers(1, 3),
batch_size=st.integers(1, 3),
inplace=st.booleans(),
**mu.gcs)
def test_softmax(self, size, input_channels, batch_size, inplace, gc, dc):
op = core.CreateOperator(
"Softmax",
["X"],
["Y"],
axis=1,
)
X = np.random.rand(
batch_size, input_channels, size, size).astype(np.float32) - 0.5
self.assertDeviceChecks(dc, op, [X], [0])
if __name__ == "__main__":
unittest.main()