File: copy_op_test.py

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (99 lines) | stat: -rw-r--r-- 3,074 bytes parent folder | download | duplicates (2)
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
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99





import unittest
import numpy as np
from random import randint
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace


@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class CopyTest(unittest.TestCase):
    def _get_deep_device(self):
        return caffe2_pb2.DeviceOption(device_type=caffe2_pb2.IDEEP)

    def test_copy_to_ideep(self):
        op = core.CreateOperator(
            "CopyCPUToIDEEP",
            ["X"],
            ["X_ideep"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X_ideep")
        np.testing.assert_allclose(X, X_ideep)

    def test_copy_to_ideep_zero_dim(self):
        op = core.CreateOperator(
            "CopyCPUToIDEEP",
            ["X"],
            ["X_ideep"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = 0
        c = randint(1, 128)
        X = np.random.rand(n, c).astype(np.float32)
        workspace.FeedBlob("X", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X_ideep")
        np.testing.assert_allclose(X, X_ideep)

    def test_copy_from_ideep(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X_ideep", X, self._get_deep_device())
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

    def test_copy_from_ideep_zero_dim(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = 0
        c = randint(1, 64)
        X = np.random.rand(n, c).astype(np.float32)
        workspace.FeedBlob("X_ideep", X, self._get_deep_device())
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

    def test_copy_from_ideep_fallthrough(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],)
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X_ideep", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

if __name__ == "__main__":
    unittest.main()