Closed young-oct closed 2 years ago
Could you please provide a minimal version of the test file that triggers this error?
when running this script, https://github.com/bwohlberg/sporco/blob/master/examples/scripts/csc/implsden_grd_clr.py on Windows 11 system. Error "data type 'float128' not understood" appears
Could you please run the following and let me know what the output is?
import numpy as np
import cupy as cp
for dt in ['float32', 'float64', 'float128']:
print("np " + dt + ": ", np.dtype(dt))
print("cp " + dt + ": ", cp.dtype(dt))
Apologies for the delayed response. Please see below @bwohlberg
Python 3.8.10 (tags/v3.8.10:3d8993a, May 3 2021, 11:48:03) [MSC v.1928 64 bit (AMD64)] on win32
import numpy as np import cupy as cp for dt in ['float32', 'float64', 'float128']: print("np " + dt + ": ", np.dtype(dt)) print("cp " + dt + ": ", cp.dtype(dt))
np float32: float32
cp float32: float32
np float64: float64
cp float64: float64
Traceback (most recent call last):
File "", line 5, in
Please try to run example implsden_grd_clr.py
in branch brendt/cp-win-bug
to check whether the changes in that branch resolve the problem.
Running on GPU 0 (NVIDIA GeForce GTX 1660 Ti)
In Fnc DFid Regℓ1 Regℓ2∇ r s
----------------------------------------------------------------
0 2.21e+05 4.84e+04 5.19e+04 8.16e+02 4.42e-01 1.50e+00
1 2.24e+05 5.18e+04 5.53e+04 3.43e+02 3.67e-01 1.42e+00
2 1.97e+05 4.97e+04 4.82e+04 1.29e+02 2.80e-01 1.50e+00
3 1.70e+05 4.89e+04 3.98e+04 1.15e+02 2.10e-01 1.53e+00
4 1.50e+05 4.64e+04 3.40e+04 7.75e+01 1.61e-01 1.58e+00
5 1.30e+05 4.54e+04 2.77e+04 8.42e+01 1.20e-01 1.53e+00
6 1.15e+05 4.39e+04 2.31e+04 7.67e+01 9.33e-02 1.61e+00
7 1.05e+05 4.34e+04 1.99e+04 8.08e+01 7.15e-02 1.42e+00
8 9.27e+04 4.23e+04 1.63e+04 7.68e+01 5.59e-02 1.65e+00
9 8.76e+04 4.17e+04 1.48e+04 7.76e+01 4.47e-02 1.40e+00
10 7.90e+04 4.10e+04 1.22e+04 7.63e+01 3.64e-02 1.73e+00
11 7.38e+04 4.05e+04 1.06e+04 7.54e+01 3.03e-02 1.41e+00
12 7.01e+04 4.00e+04 9.55e+03 7.48e+01 2.61e-02 1.76e+00
13 6.57e+04 3.95e+04 8.24e+03 7.38e+01 2.27e-02 1.52e+00
14 6.27e+04 3.90e+04 7.42e+03 7.35e+01 2.01e-02 1.72e+00
15 6.00e+04 3.86e+04 6.65e+03 7.30e+01 1.80e-02 1.67e+00
16 5.76e+04 3.83e+04 5.95e+03 7.29e+01 1.63e-02 1.65e+00
17 5.59e+04 3.79e+04 5.50e+03 7.27e+01 1.50e-02 1.73e+00
18 5.46e+04 3.76e+04 5.16e+03 7.26e+01 1.39e-02 1.66e+00
19 5.35e+04 3.74e+04 4.90e+03 7.25e+01 1.28e-02 1.72e+00
20 5.25e+04 3.72e+04 4.63e+03 7.25e+01 1.19e-02 1.69e+00
21 5.14e+04 3.70e+04 4.31e+03 7.25e+01 1.11e-02 1.68e+00
22 5.05e+04 3.68e+04 4.09e+03 7.25e+01 1.03e-02 1.69e+00
23 4.99e+04 3.67e+04 3.94e+03 7.26e+01 9.69e-03 1.66e+00
24 4.94e+04 3.65e+04 3.81e+03 7.26e+01 9.12e-03 1.65e+00
25 4.90e+04 3.64e+04 3.69e+03 7.28e+01 8.59e-03 1.65e+00
26 4.85e+04 3.64e+04 3.58e+03 7.29e+01 8.11e-03 1.63e+00
27 4.81e+04 3.63e+04 3.46e+03 7.30e+01 7.66e-03 1.62e+00
28 4.77e+04 3.62e+04 3.33e+03 7.31e+01 7.23e-03 1.59e+00
29 4.73e+04 3.62e+04 3.22e+03 7.32e+01 6.84e-03 1.57e+00
30 4.69e+04 3.61e+04 3.12e+03 7.34e+01 6.49e-03 1.55e+00
31 4.66e+04 3.61e+04 3.02e+03 7.35e+01 6.16e-03 1.53e+00
32 4.63e+04 3.61e+04 2.92e+03 7.37e+01 5.86e-03 1.51e+00
33 4.60e+04 3.60e+04 2.84e+03 7.38e+01 5.57e-03 1.48e+00
34 4.58e+04 3.60e+04 2.77e+03 7.39e+01 5.32e-03 1.45e+00
35 4.56e+04 3.60e+04 2.71e+03 7.41e+01 5.09e-03 1.42e+00
36 4.54e+04 3.60e+04 2.65e+03 7.42e+01 4.87e-03 1.39e+00
37 4.52e+04 3.60e+04 2.59e+03 7.43e+01 4.66e-03 1.36e+00
38 4.50e+04 3.60e+04 2.53e+03 7.45e+01 4.46e-03 1.32e+00
39 4.48e+04 3.60e+04 2.46e+03 7.46e+01 4.26e-03 1.29e+00
40 4.46e+04 3.59e+04 2.40e+03 7.47e+01 4.08e-03 1.26e+00
41 4.45e+04 3.59e+04 2.35e+03 7.48e+01 3.91e-03 1.22e+00
42 4.43e+04 3.59e+04 2.30e+03 7.50e+01 3.75e-03 1.19e+00
43 4.42e+04 3.59e+04 2.25e+03 7.51e+01 3.60e-03 1.16e+00
44 4.41e+04 3.59e+04 2.21e+03 7.52e+01 3.46e-03 1.12e+00
45 4.40e+04 3.59e+04 2.17e+03 7.54e+01 3.33e-03 1.08e+00
46 4.38e+04 3.59e+04 2.13e+03 7.55e+01 3.21e-03 1.05e+00
47 4.37e+04 3.59e+04 2.10e+03 7.56e+01 3.09e-03 1.02e+00
48 4.36e+04 3.59e+04 2.06e+03 7.57e+01 2.98e-03 9.83e-01
49 4.35e+04 3.59e+04 2.02e+03 7.58e+01 2.87e-03 9.51e-01
50 4.34e+04 3.59e+04 1.99e+03 7.59e+01 2.77e-03 9.19e-01
51 4.33e+04 3.59e+04 1.96e+03 7.60e+01 2.67e-03 8.89e-01
52 4.32e+04 3.59e+04 1.92e+03 7.61e+01 2.58e-03 8.63e-01
53 4.31e+04 3.59e+04 1.90e+03 7.62e+01 2.49e-03 8.41e-01
54 4.31e+04 3.59e+04 1.87e+03 7.63e+01 2.41e-03 8.20e-01
55 4.30e+04 3.59e+04 1.84e+03 7.64e+01 2.33e-03 7.98e-01
56 4.29e+04 3.59e+04 1.82e+03 7.64e+01 2.26e-03 7.74e-01
57 4.29e+04 3.59e+04 1.80e+03 7.65e+01 2.19e-03 7.48e-01
58 4.28e+04 3.59e+04 1.77e+03 7.66e+01 2.12e-03 7.23e-01
59 4.27e+04 3.59e+04 1.75e+03 7.66e+01 2.06e-03 6.99e-01
60 4.27e+04 3.59e+04 1.73e+03 7.67e+01 2.00e-03 6.77e-01
61 4.26e+04 3.59e+04 1.71e+03 7.67e+01 1.94e-03 6.57e-01
62 4.26e+04 3.59e+04 1.69e+03 7.68e+01 1.88e-03 6.37e-01
63 4.25e+04 3.59e+04 1.68e+03 7.68e+01 1.82e-03 6.18e-01
64 4.24e+04 3.59e+04 1.66e+03 7.68e+01 1.77e-03 5.99e-01
65 4.24e+04 3.59e+04 1.64e+03 7.69e+01 1.72e-03 5.82e-01
66 4.23e+04 3.59e+04 1.62e+03 7.69e+01 1.67e-03 5.66e-01
67 4.23e+04 3.59e+04 1.61e+03 7.69e+01 1.63e-03 5.50e-01
68 4.23e+04 3.59e+04 1.59e+03 7.70e+01 1.58e-03 5.37e-01
69 4.22e+04 3.59e+04 1.58e+03 7.70e+01 1.54e-03 5.24e-01
70 4.22e+04 3.59e+04 1.56e+03 7.70e+01 1.49e-03 5.11e-01
71 4.21e+04 3.59e+04 1.55e+03 7.71e+01 1.45e-03 4.98e-01
72 4.21e+04 3.59e+04 1.54e+03 7.71e+01 1.42e-03 4.85e-01
73 4.21e+04 3.59e+04 1.53e+03 7.71e+01 1.38e-03 4.73e-01
74 4.20e+04 3.59e+04 1.52e+03 7.71e+01 1.34e-03 4.60e-01
75 4.20e+04 3.59e+04 1.51e+03 7.72e+01 1.31e-03 4.48e-01
76 4.20e+04 3.59e+04 1.49e+03 7.72e+01 1.27e-03 4.37e-01
77 4.19e+04 3.59e+04 1.48e+03 7.72e+01 1.24e-03 4.26e-01
78 4.19e+04 3.59e+04 1.47e+03 7.72e+01 1.21e-03 4.15e-01
79 4.19e+04 3.59e+04 1.46e+03 7.73e+01 1.18e-03 4.05e-01
80 4.18e+04 3.59e+04 1.45e+03 7.73e+01 1.15e-03 3.94e-01
81 4.18e+04 3.59e+04 1.44e+03 7.73e+01 1.12e-03 3.84e-01
82 4.18e+04 3.59e+04 1.43e+03 7.73e+01 1.09e-03 3.74e-01
83 4.17e+04 3.59e+04 1.42e+03 7.74e+01 1.06e-03 3.64e-01
84 4.17e+04 3.59e+04 1.41e+03 7.74e+01 1.04e-03 3.55e-01
85 4.17e+04 3.59e+04 1.41e+03 7.74e+01 1.01e-03 3.46e-01
86 4.17e+04 3.59e+04 1.40e+03 7.74e+01 9.88e-04 3.38e-01
87 4.16e+04 3.59e+04 1.39e+03 7.74e+01 9.64e-04 3.30e-01
88 4.16e+04 3.59e+04 1.38e+03 7.74e+01 9.41e-04 3.23e-01
89 4.16e+04 3.59e+04 1.38e+03 7.75e+01 9.19e-04 3.15e-01
90 4.16e+04 3.59e+04 1.37e+03 7.75e+01 8.97e-04 3.08e-01
91 4.16e+04 3.59e+04 1.36e+03 7.75e+01 8.76e-04 3.01e-01
92 4.15e+04 3.59e+04 1.36e+03 7.75e+01 8.56e-04 2.94e-01
93 4.15e+04 3.59e+04 1.35e+03 7.75e+01 8.36e-04 2.87e-01
94 4.15e+04 3.59e+04 1.34e+03 7.75e+01 8.17e-04 2.80e-01
95 4.15e+04 3.59e+04 1.34e+03 7.75e+01 7.98e-04 2.73e-01
96 4.15e+04 3.59e+04 1.33e+03 7.76e+01 7.80e-04 2.67e-01
97 4.14e+04 3.59e+04 1.32e+03 7.76e+01 7.63e-04 2.60e-01
98 4.14e+04 3.59e+04 1.32e+03 7.76e+01 7.46e-04 2.53e-01
99 4.14e+04 3.59e+04 1.31e+03 7.76e+01 7.29e-04 2.47e-01
100 4.14e+04 3.59e+04 1.31e+03 7.76e+01 7.13e-04 2.41e-01
101 4.14e+04 3.59e+04 1.30e+03 7.77e+01 6.97e-04 2.35e-01
102 4.14e+04 3.59e+04 1.30e+03 7.77e+01 6.81e-04 2.29e-01
103 4.14e+04 3.59e+04 1.29e+03 7.77e+01 6.66e-04 2.24e-01
104 4.13e+04 3.59e+04 1.29e+03 7.77e+01 6.52e-04 2.19e-01
105 4.13e+04 3.59e+04 1.28e+03 7.77e+01 6.38e-04 2.14e-01
106 4.13e+04 3.59e+04 1.28e+03 7.77e+01 6.24e-04 2.10e-01
107 4.13e+04 3.59e+04 1.27e+03 7.77e+01 6.10e-04 2.06e-01
108 4.13e+04 3.59e+04 1.27e+03 7.78e+01 5.97e-04 2.02e-01
109 4.13e+04 3.59e+04 1.27e+03 7.78e+01 5.85e-04 1.98e-01
110 4.13e+04 3.59e+04 1.26e+03 7.78e+01 5.72e-04 1.94e-01
111 4.12e+04 3.59e+04 1.26e+03 7.78e+01 5.60e-04 1.90e-01
112 4.12e+04 3.59e+04 1.25e+03 7.78e+01 5.49e-04 1.86e-01
113 4.12e+04 3.59e+04 1.25e+03 7.78e+01 5.37e-04 1.82e-01
114 4.12e+04 3.59e+04 1.25e+03 7.78e+01 5.26e-04 1.79e-01
115 4.12e+04 3.59e+04 1.24e+03 7.78e+01 5.15e-04 1.75e-01
116 4.12e+04 3.59e+04 1.24e+03 7.78e+01 5.04e-04 1.71e-01
117 4.12e+04 3.59e+04 1.24e+03 7.79e+01 4.94e-04 1.68e-01
118 4.12e+04 3.59e+04 1.23e+03 7.79e+01 4.83e-04 1.64e-01
119 4.12e+04 3.59e+04 1.23e+03 7.79e+01 4.73e-04 1.61e-01
120 4.12e+04 3.59e+04 1.23e+03 7.79e+01 4.64e-04 1.57e-01
121 4.11e+04 3.59e+04 1.22e+03 7.79e+01 4.54e-04 1.54e-01
122 4.11e+04 3.59e+04 1.22e+03 7.79e+01 4.45e-04 1.50e-01
123 4.11e+04 3.59e+04 1.22e+03 7.79e+01 4.36e-04 1.47e-01
124 4.11e+04 3.59e+04 1.21e+03 7.79e+01 4.28e-04 1.43e-01
125 4.11e+04 3.59e+04 1.21e+03 7.79e+01 4.20e-04 1.40e-01
126 4.11e+04 3.59e+04 1.21e+03 7.79e+01 4.11e-04 1.37e-01
127 4.11e+04 3.59e+04 1.20e+03 7.79e+01 4.03e-04 1.34e-01
128 4.11e+04 3.59e+04 1.20e+03 7.79e+01 3.95e-04 1.31e-01
129 4.11e+04 3.59e+04 1.20e+03 7.80e+01 3.87e-04 1.29e-01
130 4.11e+04 3.59e+04 1.20e+03 7.80e+01 3.80e-04 1.26e-01
131 4.11e+04 3.59e+04 1.19e+03 7.80e+01 3.72e-04 1.24e-01
132 4.11e+04 3.59e+04 1.19e+03 7.80e+01 3.65e-04 1.21e-01
133 4.10e+04 3.59e+04 1.19e+03 7.80e+01 3.58e-04 1.19e-01
134 4.10e+04 3.59e+04 1.19e+03 7.80e+01 3.51e-04 1.16e-01
135 4.10e+04 3.59e+04 1.19e+03 7.80e+01 3.44e-04 1.14e-01
136 4.10e+04 3.59e+04 1.18e+03 7.80e+01 3.38e-04 1.12e-01
137 4.10e+04 3.59e+04 1.18e+03 7.80e+01 3.32e-04 1.10e-01
138 4.10e+04 3.59e+04 1.18e+03 7.80e+01 3.25e-04 1.08e-01
139 4.10e+04 3.59e+04 1.18e+03 7.80e+01 3.19e-04 1.06e-01
140 4.10e+04 3.59e+04 1.17e+03 7.81e+01 3.13e-04 1.04e-01
141 4.10e+04 3.59e+04 1.17e+03 7.81e+01 3.07e-04 1.02e-01
142 4.10e+04 3.59e+04 1.17e+03 7.81e+01 3.02e-04 1.00e-01
143 4.10e+04 3.59e+04 1.17e+03 7.81e+01 2.96e-04 9.79e-02
144 4.10e+04 3.59e+04 1.17e+03 7.81e+01 2.91e-04 9.58e-02
145 4.10e+04 3.59e+04 1.17e+03 7.81e+01 2.85e-04 9.37e-02
146 4.10e+04 3.59e+04 1.16e+03 7.81e+01 2.80e-04 9.16e-02
147 4.10e+04 3.59e+04 1.16e+03 7.81e+01 2.75e-04 8.97e-02
148 4.10e+04 3.59e+04 1.16e+03 7.81e+01 2.70e-04 8.79e-02
149 4.10e+04 3.59e+04 1.16e+03 7.81e+01 2.65e-04 8.61e-02
150 4.09e+04 3.59e+04 1.16e+03 7.81e+01 2.60e-04 8.45e-02
151 4.09e+04 3.59e+04 1.16e+03 7.81e+01 2.55e-04 8.29e-02
152 4.09e+04 3.59e+04 1.15e+03 7.81e+01 2.51e-04 8.13e-02
153 4.09e+04 3.59e+04 1.15e+03 7.81e+01 2.46e-04 7.98e-02
154 4.09e+04 3.59e+04 1.15e+03 7.82e+01 2.42e-04 7.84e-02
155 4.09e+04 3.59e+04 1.15e+03 7.82e+01 2.38e-04 7.69e-02
156 4.09e+04 3.59e+04 1.15e+03 7.82e+01 2.33e-04 7.56e-02
157 4.09e+04 3.59e+04 1.15e+03 7.82e+01 2.29e-04 7.43e-02
158 4.09e+04 3.59e+04 1.15e+03 7.82e+01 2.25e-04 7.30e-02
159 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.21e-04 7.18e-02
160 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.17e-04 7.06e-02
161 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.13e-04 6.95e-02
162 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.09e-04 6.83e-02
163 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.06e-04 6.70e-02
164 4.09e+04 3.59e+04 1.14e+03 7.82e+01 2.02e-04 6.57e-02
165 4.09e+04 3.59e+04 1.14e+03 7.82e+01 1.99e-04 6.43e-02
166 4.09e+04 3.59e+04 1.14e+03 7.82e+01 1.95e-04 6.30e-02
167 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.92e-04 6.16e-02
168 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.89e-04 6.02e-02
169 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.85e-04 5.89e-02
170 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.82e-04 5.77e-02
171 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.79e-04 5.66e-02
172 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.76e-04 5.57e-02
173 4.09e+04 3.59e+04 1.13e+03 7.82e+01 1.73e-04 5.48e-02
174 4.09e+04 3.59e+04 1.13e+03 7.83e+01 1.70e-04 5.41e-02
175 4.09e+04 3.59e+04 1.13e+03 7.83e+01 1.67e-04 5.34e-02
176 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.64e-04 5.27e-02
177 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.61e-04 5.20e-02
178 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.59e-04 5.11e-02
179 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.56e-04 5.02e-02
180 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.53e-04 4.93e-02
181 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.51e-04 4.82e-02
182 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.49e-04 4.71e-02
183 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.46e-04 4.60e-02
184 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.44e-04 4.50e-02
185 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.42e-04 4.40e-02
186 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.39e-04 4.31e-02
187 4.08e+04 3.59e+04 1.12e+03 7.83e+01 1.37e-04 4.23e-02
188 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.35e-04 4.16e-02
189 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.32e-04 4.10e-02
190 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.30e-04 4.03e-02
191 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.28e-04 3.97e-02
192 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.26e-04 3.90e-02
193 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.24e-04 3.83e-02
194 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.22e-04 3.76e-02
195 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.20e-04 3.70e-02
196 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.18e-04 3.65e-02
197 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.16e-04 3.60e-02
198 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.14e-04 3.55e-02
199 4.08e+04 3.59e+04 1.11e+03 7.83e+01 1.12e-04 3.50e-02
----------------------------------------------------------------
ConvL1L1Grd solve time: 13.74 s
Noisy image PSNR: 10.37 dB
Denoised image PSNR: 27.54 dB
The new push fixed bugs. But I would like to suggest a reminder to install GPUtil before running anything GPU-related should be included
error log shows:
PyDev console: starting. Python 3.8.12 (default, Oct 12 2021, 03:01:40) [MSC v.1916 64 bit (AMD64)] on win32 runfile('C:/Users/junzh/OneDrive/Desktop/test/test.py', wdir='C:/Users/junzh/OneDrive/Desktop/test') Running on GPU 0 (NVIDIA GeForce GTX 1660 Ti) Traceback (most recent call last): File "", line 1, in
File "C:\Program Files\JetBrains\PyCharm 2021.2.3\plugins\python\helpers\pydev_pydev_bundle\pydev_umd.py", line 198, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "C:\Program Files\JetBrains\PyCharm 2021.2.3\plugins\python\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/junzh/OneDrive/Desktop/test/test.py", line 64, in
b = cbpdn.ConvBPDNJoint(np2cp(D), np2cp(pad(imgnh)), lmbda, mu, opt, dimK=0)
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\common.py", line 110, in call
instance = super(_IterSolver_Meta, cls).call(*args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\admm\cbpdn.py", line 778, in init
super(ConvBPDNJoint, self).init(D, S, lmbda, opt, dimK=dimK,
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\admm\cbpdn.py", line 570, in init
super(ConvBPDN, self).init(D, S, opt, dimK, dimN)
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\admm\cbpdn.py", line 235, in init
self.Xf = self.empty_aligned(self.Y.shape, self.cri.axisN,
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\cupy__init__.py", line 262, in _rfftn_empty_aligned
cdtype = _complex_dtype(dtype)
File "C:\ProgramData\Anaconda3\envs\dev\lib\site-packages\sporco\cupy__init__.py", line 235, in _complex_dtype
if dt == cp.dtype('float128'):
TypeError: data type 'float128' not understood