/
test_rearrange.py
258 lines (206 loc) · 7.94 KB
/
test_rearrange.py
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
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
import unittest
import cupy
from cupy import testing
@testing.gpu
class TestRoll(unittest.TestCase):
_multiprocess_can_split_ = True
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal(accept_error=TypeError)
def test_roll(self, xp, dtype):
x = xp.arange(10, dtype)
return xp.roll(x, 2)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll2(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 1)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_negative(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, -2)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_with_axis(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 1, axis=0)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_with_negative_axis(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 1, axis=-1)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_double_shift(self, xp, dtype):
x = testing.shaped_arange((10,), xp, dtype)
return xp.roll(x, 35)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_double_shift_with_axis(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 11, axis=0)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_roll_zero_array(self, xp, dtype):
x = testing.shaped_arange((), xp, dtype)
return xp.roll(x, 5)
@testing.for_all_dtypes()
@testing.with_requires('numpy>=1.13')
@testing.numpy_cupy_raises()
def test_roll_invalid_axis1(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 1, axis=2)
@testing.for_all_dtypes()
def test_roll_invalid_axis2(self, dtype):
x = testing.shaped_arange((5, 2), cupy, dtype)
with self.assertRaises(cupy.core.core._AxisError):
return cupy.roll(x, 1, axis=2)
@testing.for_all_dtypes()
@testing.with_requires('numpy>=1.13')
@testing.numpy_cupy_raises()
def test_roll_invalid_negative_axis1(self, xp, dtype):
x = testing.shaped_arange((5, 2), xp, dtype)
return xp.roll(x, 1, axis=-3)
@testing.for_all_dtypes()
def test_roll_invalid_negative_axis2(self, dtype):
x = testing.shaped_arange((5, 2), cupy, dtype)
with self.assertRaises(cupy.core.core._AxisError):
return cupy.roll(x, 1, axis=-3)
@testing.gpu
class TestFliplr(unittest.TestCase):
_multiprocess_can_split_ = True
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_fliplr_2(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.fliplr(x)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_fliplr_3(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.fliplr(x)
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_fliplr_insufficient_ndim(self, xp, dtype):
x = testing.shaped_arange((3,), xp, dtype)
return xp.fliplr(x)
@testing.gpu
class TestFlipud(unittest.TestCase):
_multiprocess_can_split_ = True
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flipud_1(self, xp, dtype):
x = testing.shaped_arange((3,), xp, dtype)
return xp.flipud(x)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flipud_2(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.flipud(x)
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_flipud_insufficient_ndim(self, xp, dtype):
x = testing.shaped_arange((), xp, dtype)
return xp.flipud(x)
@testing.gpu
@testing.with_requires('numpy>=1.12')
class TestFlip(unittest.TestCase):
_multiprocess_can_split_ = True
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_1(self, xp, dtype):
x = testing.shaped_arange((3,), xp, dtype)
return xp.flip(x, 0)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_2(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.flip(x, 1)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_with_negative_axis(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.flip(x, -1)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_empty_dim_1(self, xp, dtype):
x = xp.array([], dtype).reshape((0,))
return xp.flip(x, 0)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_empty_dim_2(self, xp, dtype):
x = xp.array([], dtype).reshape((0, 0))
return xp.flip(x, 1)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_flip_empty_dim_3(self, xp, dtype):
x = xp.array([], dtype).reshape((1, 0, 1))
return xp.flip(x, 1)
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_flip_insufficient_ndim(self, xp, dtype):
x = testing.shaped_arange((), xp, dtype)
return xp.flip(x, 0)
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_flip_invalid_axis(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.flip(x, 2)
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_flip_invalid_negative_axis(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.flip(x, -3)
@testing.gpu
class TestRot90(unittest.TestCase):
_multiprocess_can_split_ = True
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_rot90_none(self, xp, dtype):
x = testing.shaped_arange((3, 4), xp, dtype)
return xp.rot90(x, 0)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_rot90_twice(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 2)
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_rot90_negative(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, -1)
@testing.with_requires('numpy>=1.12')
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_rot90_with_axes(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 1, axes=(1, 2))
@testing.with_requires('numpy>=1.12')
@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
def test_rot90_with_negative_axes(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 1, axes=(1, -1))
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_rot90_insufficient_ndim(self, xp, dtype):
x = testing.shaped_arange((3,), xp, dtype)
return xp.rot90(x)
@testing.with_requires('numpy>=1.12')
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_rot90_too_much_axes(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 1, axes=(0, 1, 2))
@testing.with_requires('numpy>=1.12')
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_rot90_invalid_axes(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 1, axes=(1, 3))
@testing.with_requires('numpy>=1.12')
@testing.for_all_dtypes()
@testing.numpy_cupy_raises()
def test_rot90_invalid_negative_axes(self, xp, dtype):
x = testing.shaped_arange((3, 4, 2), xp, dtype)
return xp.rot90(x, 1, axes=(1, -2))