1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
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
import caffe2.proto.caffe2_pb2 as pb2
@unittest.skipIf(not workspace.C.has_mkldnn,
"Skipping as we do not have mkldnn.")
class MKCopyTest(hu.HypothesisTestCase):
@given(width=st.integers(7, 9),
height=st.integers(7, 9),
input_channels=st.integers(1, 3),
batch_size=st.integers(1, 3),
**mu.gcs)
def test_mkl_copy(self,
width,
height,
input_channels,
batch_size,
gc, dc):
X = np.random.rand(
batch_size, input_channels, width, height).astype(np.float32)
self.ws.create_blob("X").feed(X, pb2.DeviceOption())
self.ws.run(core.CreateOperator(
"CopyCPUToMKL",
["X"],
["X_MKL"],
device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
))
self.ws.run(core.CreateOperator(
"CopyMKLToCPU",
["X_MKL"],
["X_copy"],
device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
))
np.testing.assert_array_equal(X, self.ws.blobs["X_copy"].fetch())
@given(n=st.sampled_from([0, 10]))
def test_mkl_zero_copy(self, n):
shape = (0, n)
X = np.zeros(shape=shape).astype(np.float32)
self.ws.create_blob("X").feed(X, pb2.DeviceOption())
self.ws.run(core.CreateOperator(
"CopyCPUToMKL",
["X"],
["X_MKL"],
device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
))
self.ws.run(core.CreateOperator(
"CopyMKLToCPU",
["X_MKL"],
["X_copy"],
device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
))
np.testing.assert_equal(shape, self.ws.blobs["X_copy"].fetch().shape)
if __name__ == "__main__":
import unittest
unittest.main()
|
