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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 MKLElementwiseSumTest(hu.HypothesisTestCase):
@given(size=st.integers(7, 9),
input_channels=st.integers(1, 3),
batch_size=st.integers(1, 3),
inputs=st.integers(1, 3),
inplace=st.booleans(),
**mu.gcs)
def test_mkl_elementwise_sum(self,
size,
input_channels,
batch_size,
inputs,
inplace,
gc,
dc):
op = core.CreateOperator(
"Sum",
["X_{}".format(i) for i in range(inputs)],
["X_0" if inplace else "Y"],
)
Xs = [np.random.rand(batch_size, input_channels, size, size).astype(
np.float32) for _ in range(inputs)]
self.assertDeviceChecks(dc, op, Xs, [0])
if __name__ == "__main__":
import unittest
unittest.main()
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