pytorch/caffe2/python/mkl/mkl_fc_op_test.py
Richard Barnes 9945fd7253 Drop unused imports from caffe2/python (#49980)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980

From
```
./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/
```

Test Plan: Standard sandcastle tests

Reviewed By: xush6528

Differential Revision: D25727359

fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286
2021-01-05 13:17:46 -08:00

38 lines
927 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.mkl_test_util as mu
@unittest.skipIf(not workspace.C.has_mkldnn,
"Skipping as we do not have mkldnn.")
class MKLFcTest(hu.HypothesisTestCase):
@given(n=st.integers(1, 5), m=st.integers(1, 5),
k=st.integers(1, 5), **mu.gcs)
def test_mkl_fc(self,n, m, k, gc, dc):
X = np.random.rand(m, k).astype(np.float32) - 0.5
W = np.random.rand(n, k).astype(np.float32) - 0.5
b = np.random.rand(n).astype(np.float32) - 0.5
op = core.CreateOperator(
'FC',
['X', 'W', 'b'],
["Y"]
)
self.assertDeviceChecks(dc, op, [X, W, b], [0])
if __name__ == "__main__":
import unittest
unittest.main()