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
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
|
from caffe2.python import core
from hypothesis import given, settings
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
class TestLengthSplitOperator(serial.SerializedTestCase):
def _length_split_op_ref(self, input_lengths, n_split_array):
output = []
n_split = n_split_array[0]
for x in input_lengths:
mod = x % n_split
val = x // n_split + 1
for _ in range(n_split):
if mod > 0:
output.append(val)
mod -= 1
else:
output.append(val - 1)
return [np.array(output).astype(np.int32)]
@given(**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_length_split_edge(self, gc, dc):
input_lengths = np.array([3, 4, 5]).astype(np.int32)
n_split_ = np.array([5]).astype(np.int32)
# Expected output:
# [1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1]
op = core.CreateOperator(
'LengthsSplit',
['input_lengths',
'n_split'],
['Y'],
)
# Check against numpy reference
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[input_lengths,
n_split_],
reference=self._length_split_op_ref,
)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [input_lengths, n_split_], [0])
@given(**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_length_split_arg(self, gc, dc):
input_lengths = np.array([9, 4, 5]).astype(np.int32)
n_split = 3
# Expected output:
# [3, 3, 3, 2, 1, 1, 2, 2, 1]
op = core.CreateOperator(
'LengthsSplit',
['input_lengths'],
['Y'], n_split=n_split
)
# Check against numpy reference
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[input_lengths],
reference=lambda x : self._length_split_op_ref(x, [n_split]),
)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [input_lengths], [0])
@given(**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_length_split_override_arg(self, gc, dc):
input_lengths = np.array([9, 4, 5]).astype(np.int32)
n_split_ignored = 2
n_split_used = np.array([3]).astype(np.int32)
op = core.CreateOperator(
'LengthsSplit',
['input_lengths',
'n_split'],
['Y'], n_split=n_split_ignored
)
# Check against numpy reference
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[input_lengths,
n_split_used],
reference=self._length_split_op_ref,
)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [input_lengths, n_split_used], [0])
@given(m=st.integers(1, 100), n_split=st.integers(1, 20),
**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_length_split_even_divide(self, m, n_split, gc, dc):
# multiples of n_split
input_lengths = np.random.randint(100, size=m).astype(np.int32) * n_split
n_split_ = np.array([n_split]).astype(np.int32)
op = core.CreateOperator(
'LengthsSplit',
['input_lengths',
'n_split'],
['Y'],
)
# Check against numpy reference
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[input_lengths,
n_split_],
reference=self._length_split_op_ref,
)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [input_lengths, n_split_], [0])
@given(m=st.integers(1, 100), n_split=st.integers(1, 20),
**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_length_split_random(self, m, n_split, gc, dc):
input_lengths = np.random.randint(100, size=m).astype(np.int32)
n_split_ = np.array([n_split]).astype(np.int32)
op = core.CreateOperator(
'LengthsSplit',
['input_lengths',
'n_split'],
['Y'],
)
# Check against numpy reference
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[input_lengths,
n_split_],
reference=self._length_split_op_ref,
)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [input_lengths, n_split_], [0])
if __name__ == "__main__":
import unittest
unittest.main()
|
