-
Notifications
You must be signed in to change notification settings - Fork 5
/
1.5.0-DEV-1f787492c3.log
213 lines (202 loc) · 7.63 KB
/
1.5.0-DEV-1f787492c3.log
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
Julia Version 1.5.0-DEV.507
Commit 1f787492c3 (2020-03-25 15:03 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed Reexport ─────────── v0.2.0
Installed FixedPointNumbers ── v0.6.1
Installed OrderedCollections ─ v1.1.0
Installed TupleTools ───────── v1.2.0
Installed NiLangCore ───────── v0.4.3
Installed DataStructures ───── v0.17.10
Installed NiLang ───────────── v0.2.0
Installed MLStyle ──────────── v0.3.1
Updating `~/.julia/environments/v1.5/Project.toml`
ab4ef3a6 + NiLang v0.2.0
Updating `~/.julia/environments/v1.5/Manifest.toml`
864edb3b + DataStructures v0.17.10
53c48c17 + FixedPointNumbers v0.6.1
d8e11817 + MLStyle v0.3.1
ab4ef3a6 + NiLang v0.2.0
575d3204 + NiLangCore v0.4.3
bac558e1 + OrderedCollections v1.1.0
189a3867 + Reexport v0.2.0
9d95972d + TupleTools v1.2.0
2a0f44e3 + Base64
ade2ca70 + Dates
8ba89e20 + Distributed
b77e0a4c + InteractiveUtils
76f85450 + LibGit2
8f399da3 + Libdl
56ddb016 + Logging
d6f4376e + Markdown
44cfe95a + Pkg
de0858da + Printf
3fa0cd96 + REPL
9a3f8284 + Random
ea8e919c + SHA
9e88b42a + Serialization
6462fe0b + Sockets
8dfed614 + Test
cf7118a7 + UUIDs
4ec0a83e + Unicode
Testing NiLang
Status `/tmp/jl_1Ri5Qd/Project.toml`
53c48c17 FixedPointNumbers v0.6.1
d8e11817 MLStyle v0.3.1
ab4ef3a6 NiLang v0.2.0
575d3204 NiLangCore v0.4.3
189a3867 Reexport v0.2.0
6aa20fa7 TensorOperations v2.1.4
9d95972d TupleTools v1.2.0
37e2e46d LinearAlgebra
9a3f8284 Random
8dfed614 Test
Status `/tmp/jl_1Ri5Qd/Manifest.toml`
621f4979 AbstractFFTs v0.5.0
79e6a3ab Adapt v1.0.1
b99e7846 BinaryProvider v0.5.8
fa961155 CEnum v0.2.0
3895d2a7 CUDAapi v3.1.0
c5f51814 CUDAdrv v6.0.0
be33ccc6 CUDAnative v2.10.2
3a865a2d CuArrays v1.7.3
864edb3b DataStructures v0.17.10
53c48c17 FixedPointNumbers v0.6.1
0c68f7d7 GPUArrays v2.0.1
929cbde3 LLVM v1.3.4
8ac3fa9e LRUCache v1.1.0
d8e11817 MLStyle v0.3.1
1914dd2f MacroTools v0.5.5
872c559c NNlib v0.6.6
ab4ef3a6 NiLang v0.2.0
575d3204 NiLangCore v0.4.3
bac558e1 OrderedCollections v1.1.0
189a3867 Reexport v0.2.0
ae029012 Requires v1.0.1
5e0ebb24 Strided v0.3.3
6aa20fa7 TensorOperations v2.1.4
a759f4b9 TimerOutputs v0.5.3
9d95972d TupleTools v1.2.0
2a0f44e3 Base64
ade2ca70 Dates
8ba89e20 Distributed
b77e0a4c InteractiveUtils
76f85450 LibGit2
8f399da3 Libdl
37e2e46d LinearAlgebra
56ddb016 Logging
d6f4376e Markdown
44cfe95a Pkg
de0858da Printf
3fa0cd96 REPL
9a3f8284 Random
ea8e919c SHA
9e88b42a Serialization
6462fe0b Sockets
2f01184e SparseArrays
10745b16 Statistics
8dfed614 Test
cf7118a7 UUIDs
4ec0a83e Unicode
Test Summary: | Pass Total
instructs.jl | 28 28
Test Summary: | Pass Total
autobcast.jl | 17 17
ngs = [0.9999999999621422, 2.4999999999941735, -2.0000000000131024]
gs = (1.0, 2.5, -2.0)
ngs = [1.0000000000065512, 1.0000000000065512]
gs = (1.0, 1.0)
ngs = [0.9999999999621422, 2.0000000000131024, 2.0000000000131024]
gs = (1.0, 2.0, 2.0)
ngs = Real[0.9999999999621422, 3.9999999999373865, 0]
gs = (1.0, 4.0, 0)
ngs = [0.9999999999621422, 3.9999999999373865, 2.7725887222551644]
gs = (1.0, 4.0, 2.772588722239781)
ngs = [1.0000000000065512, -0.9999999999621422]
gs = (1.0, -1.0)
ngs = [0.9999999999621422, 7.389056099071921]
gs = (1.0, 7.38905609893065)
ngs = [1.0000000000065512, 0.5000000000032756]
gs = (1.0, 0.5)
ngs = [1.0000000000065512, -0.4161468365460052]
gs = (1.0, -0.4161468365471424)
ngs = [1.0000000000065512, -0.9092974268321007]
gs = (1.0, -0.9092974268256817)
ngs = [1.0000000000065512, 0.5000000000032756, -0.4999999999810711]
gs = (1.0, 0.5, -0.5)
ngs = [0.9999999999843466, -1.0000000000065512]
gs = (1.0, -1.0)
ngs = [1.0000000000065512, -2.0000000000131024, -2.0000000000131024]
gs = (1.0, -2.0, -2.0)
ngs = Real[1.0000000000065512, -3.9999999999817955, 0]
gs = (1.0, -4.0, 0)
ngs = [1.0000000000065512, -3.9999999999817955, -2.7725887222551644]
gs = (1.0, -4.0, -2.772588722239781)
ngs = [0.9999999999843466, 0.9999999999843466]
gs = (1.0, 1.0)
ngs = [0.9999999999621422, -7.389056098983104]
gs = (1.0, -7.38905609893065)
ngs = [0.9999999999954489, -0.5000000000032756]
gs = (1.0, -0.5)
ngs = [0.9999999999954489, 0.4161468365460052]
gs = (1.0, 0.4161468365471424)
ngs = [0.9999999999843466, 0.9092974268209985]
gs = (1.0, 0.9092974268256817)
ngs = [0.9999999999954489, -0.5000000000032756, 0.5000000000143778]
gs = (1.0, -0.5, 0.5)
ngs = [-0.9999999999954489]
gs = (-1.0,)
ngs = Real[2.0000000000131024, 0]
gs = (2.0, 0)
ngs = Real[0.5000000000032756, 0]
gs = (0.5, 0)
ngs = [-0.4161468365460052, -0.9092974268209985, -0.07700375372898804]
gs = (-0.4161468365471424, -0.9092974268256817, -0.07700375373139678)
ngs = [0.9092974268209985, -0.41614683656820967, -2.2347416902324113]
gs = (0.9092974268256817, -0.4161468365471424, -2.234741690198506)
ngs = [-0.4161468365460052, 0.9092974268209985, -1.7415910999352133]
gs = (-0.4161468365471424, 0.9092974268256817, -1.7415910999199666)
ngs = [-0.9092974268209985, -0.4161468365460052, -1.4024480171404006]
gs = (-0.9092974268256817, -0.4161468365471424, -1.402448017104221)
h2 = [0.0 0.0 0.0 -2.9699774896752014; 0.0 -6.799589668737837 -0.5666324724984406 -45.38479617224311; 0.0 -0.5666324724096228 0.0 -6.363315003632407; -2.969977489897246 -45.38479617366419 -6.363315002744229 -44.80753266804526]
h2 = [3.145204272569923 6.554295547323007 8.461874394605218; 6.554295547478438 9.36836961411558 17.58399511850861; 8.461874395138125 17.583995118330975 23.26476839233926]
op = ⊕(*)
h1 - h2 = [0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
[0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
[0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
op = ⊕(/)
h1 - h2 = [0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
[0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
[0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]
op = ⊕(^)
h1 - h2 = [0.0 0.0 0.0; 0.0 0.0 1.1102230246251565e-16; 0.0 -1.1102230246251565e-16 0.0]
[0.0 0.0 0.0; 0.0 0.0 -2.220446049250313e-16; 0.0 2.220446049250313e-16 0.0]
[0.0 0.0 0.0; 0.0 0.0 8.326672684688674e-17; 0.0 -8.326672684688674e-17 0.0]
op = NiLang.ROT
h1 - h2 = [0.0 2.220446049250313e-16 1.1102230246251565e-16; 0.0 0.0 2.220446049250313e-16; 1.1102230246251565e-16 -2.220446049250313e-16 0.0]
[0.0 -4.440892098500626e-16 -2.220446049250313e-16; 1.1102230246251565e-16 4.440892098500626e-16 -1.1102230246251565e-16; 1.1102230246251565e-16 1.6653345369377348e-16 1.1102230246251565e-16]
[0.0 5.551115123125783e-17 1.5265566588595902e-16; 2.7755575615628914e-17 -2.7755575615628914e-17 -4.440892098500626e-16; -5.551115123125783e-17 -4.440892098500626e-16 0.0]
op = NiLang.IROT
h1 - h2 = [-4.440892098500626e-16 -1.1102230246251565e-16 0.0; 2.220446049250313e-16 -4.440892098500626e-16 4.440892098500626e-16; 2.220446049250313e-16 -4.440892098500626e-16 0.0]
[4.440892098500626e-16 1.6653345369377348e-16 0.0; 1.1102230246251565e-16 0.0 -1.1102230246251565e-16; 2.220446049250313e-16 0.0 0.0]
[4.85722573273506e-17 0.0 2.220446049250313e-16; -4.440892098500626e-16 -1.1796119636642288e-16 0.0; 2.220446049250313e-16 -2.220446049250313e-16 2.220446049250313e-16]
op = ⊕(identity)
op = ⊕(abs)
op = NiLang.SWAP
op = ⊕(exp)
op = ⊕(log)
op = ⊕(sin)
op = ⊕(cos)
op = NiLang.NEG
op = NiLang.CONJ
Test Summary: | Pass Total
autodiff | 123 123
Testing NiLang tests passed