質問編集履歴
1
タイトルの修正,anaconda仮想環境追加
test
CHANGED
@@ -1 +1 @@
|
|
1
|
-
Jupyterでtensorflowを使用し,カーネルが異常終了
|
1
|
+
Jupyterでtensorflowを使用し,CNNのモデルfit時にカーネルが異常終了
|
test
CHANGED
@@ -1,6 +1,6 @@
|
|
1
1
|
JypyterでTensorflow(keras)を用いCNNを構成し,fittingのコードを実行させたタイミングでカーネルが異常終了してしまいます.
|
2
2
|
|
3
|
-
|
3
|
+
### Jupyter環境での実行
|
4
4
|
|
5
5
|
今回の事象はjupyterでは結果の出力枠にWarningなど表示せず,ウィンドウにて以下のメッセージを表示してお亡くなりになります.
|
6
6
|
|
@@ -14,9 +14,9 @@
|
|
14
14
|
|
15
15
|
|
16
16
|
|
17
|
-
|
17
|
+
### Pythonファイルでの実行
|
18
|
-
|
18
|
+
|
19
|
-
|
19
|
+
↑だけでは原因は分からなかったので,スクリプトにおこして実行すると,今度は次のエラーが出ます
|
20
20
|
|
21
21
|
```ここに言語を入力
|
22
22
|
|
@@ -40,16 +40,296 @@
|
|
40
40
|
|
41
41
|
```
|
42
42
|
|
43
|
-
mallocなどを調べてみたのですが
|
43
|
+
mallocなどを調べてみたのですが解決策にはいたらず...
|
44
|
-
|
45
|
-
|
44
|
+
|
46
|
-
|
47
|
-
|
48
|
-
|
45
|
+
|
46
|
+
|
47
|
+
|
48
|
+
|
49
|
-
Macを利用しておりanaconda仮想環境のlistは
|
49
|
+
Macを利用しており,anaconda仮想環境のlistは
|
50
50
|
|
51
51
|
```ここに言語を入力
|
52
52
|
|
53
|
+
# Name Version Build Channel
|
54
|
+
|
55
|
+
_tflow_select 2.3.0 mkl
|
56
|
+
|
57
|
+
absl-py 0.11.0 pyhd3eb1b0_1
|
58
|
+
|
59
|
+
appnope 0.1.2 py36hecd8cb5_1001
|
60
|
+
|
61
|
+
argon2-cffi 20.1.0 py36haf1e3a3_1
|
62
|
+
|
63
|
+
astor 0.8.1 py36_0
|
64
|
+
|
65
|
+
async_generator 1.10 py36h28b3542_0
|
66
|
+
|
67
|
+
attrs 20.3.0 pyhd3eb1b0_0
|
68
|
+
|
69
|
+
backcall 0.2.0 py_0
|
70
|
+
|
71
|
+
blas 1.0 mkl
|
72
|
+
|
73
|
+
bleach 3.2.1 py_0
|
74
|
+
|
75
|
+
brotlipy 0.7.0 py36h9ed2024_1003
|
76
|
+
|
77
|
+
c-ares 1.17.1 h9ed2024_0
|
78
|
+
|
79
|
+
ca-certificates 2020.12.8 hecd8cb5_0
|
80
|
+
|
81
|
+
certifi 2020.12.5 py36hecd8cb5_0
|
82
|
+
|
83
|
+
cffi 1.14.4 py36h2125817_0
|
84
|
+
|
85
|
+
chardet 4.0.0 py36hecd8cb5_1003
|
86
|
+
|
87
|
+
cryptography 3.3.1 py36hbcfaee0_0
|
88
|
+
|
89
|
+
cycler 0.10.0 py36hecd8cb5_0
|
90
|
+
|
91
|
+
dbus 1.13.18 h18a8e69_0
|
92
|
+
|
93
|
+
decorator 4.4.2 py_0
|
94
|
+
|
95
|
+
defusedxml 0.6.0 py_0
|
96
|
+
|
97
|
+
entrypoints 0.3 py36_0
|
98
|
+
|
99
|
+
expat 2.2.10 hb1e8313_2
|
100
|
+
|
101
|
+
freetype 2.10.4 ha233b18_0
|
102
|
+
|
103
|
+
gast 0.2.2 py36_0
|
104
|
+
|
105
|
+
gettext 0.19.8.1 hb0f4f8b_2
|
106
|
+
|
107
|
+
glib 2.66.1 h9bbe63b_0
|
108
|
+
|
109
|
+
google-pasta 0.2.0 py_0
|
110
|
+
|
111
|
+
grpcio 1.31.0 py36h7580e61_0
|
112
|
+
|
113
|
+
h5py 2.10.0 py36h0601b69_1
|
114
|
+
|
115
|
+
hdf5 1.10.6 hdbbcd12_0
|
116
|
+
|
117
|
+
icu 58.2 h0a44026_3
|
118
|
+
|
119
|
+
idna 2.10 py_0
|
120
|
+
|
121
|
+
imageio 2.9.0 pypi_0 pypi
|
122
|
+
|
123
|
+
importlib-metadata 2.0.0 py_1
|
124
|
+
|
125
|
+
importlib_metadata 2.0.0 1
|
126
|
+
|
127
|
+
intel-openmp 2019.4 233
|
128
|
+
|
129
|
+
ipykernel 5.3.4 py36h5ca1d4c_0
|
130
|
+
|
131
|
+
ipython 7.16.1 py36h5ca1d4c_0
|
132
|
+
|
133
|
+
ipython_genutils 0.2.0 pyhd3eb1b0_1
|
134
|
+
|
135
|
+
ipywidgets 7.6.0 pyhd3eb1b0_1
|
136
|
+
|
137
|
+
jedi 0.18.0 py36hecd8cb5_0
|
138
|
+
|
139
|
+
jinja2 2.11.2 py_0
|
140
|
+
|
141
|
+
joblib 1.0.0 pypi_0 pypi
|
142
|
+
|
143
|
+
jpeg 9b he5867d9_2
|
144
|
+
|
145
|
+
json5 0.9.5 py_0
|
146
|
+
|
147
|
+
jsonschema 3.2.0 py_2
|
148
|
+
|
149
|
+
jupyter 1.0.0 py36_7
|
150
|
+
|
151
|
+
jupyter_client 6.1.7 py_0
|
152
|
+
|
153
|
+
jupyter_console 6.2.0 py_0
|
154
|
+
|
155
|
+
jupyter_core 4.7.0 py36hecd8cb5_0
|
156
|
+
|
157
|
+
jupyterlab 2.2.6 py_0
|
158
|
+
|
159
|
+
jupyterlab_pygments 0.1.2 py_0
|
160
|
+
|
161
|
+
jupyterlab_server 1.2.0 py_0
|
162
|
+
|
163
|
+
keras-applications 1.0.8 py_1
|
164
|
+
|
165
|
+
keras-preprocessing 1.1.0 py_1
|
166
|
+
|
167
|
+
kiwisolver 1.3.0 py36h23ab428_0
|
168
|
+
|
169
|
+
lcms2 2.11 h92f6f08_0
|
170
|
+
|
171
|
+
libcxx 10.0.0 1
|
172
|
+
|
173
|
+
libedit 3.1.20191231 h1de35cc_1
|
174
|
+
|
175
|
+
libffi 3.3 hb1e8313_2
|
176
|
+
|
177
|
+
libgfortran 3.0.1 h93005f0_2
|
178
|
+
|
179
|
+
libiconv 1.16 h1de35cc_0
|
180
|
+
|
181
|
+
libpng 1.6.37 ha441bb4_0
|
182
|
+
|
183
|
+
libprotobuf 3.13.0.1 hab81aa3_0
|
184
|
+
|
185
|
+
libsodium 1.0.18 h1de35cc_0
|
186
|
+
|
187
|
+
libtiff 4.1.0 hcb84e12_1
|
188
|
+
|
189
|
+
lz4-c 1.9.2 h79c402e_3
|
190
|
+
|
191
|
+
markdown 3.3.3 py36hecd8cb5_0
|
192
|
+
|
193
|
+
markupsafe 1.1.1 py36h1de35cc_0
|
194
|
+
|
195
|
+
matplotlib 3.3.2 hecd8cb5_0
|
196
|
+
|
197
|
+
matplotlib-base 3.3.2 py36h181983e_0
|
198
|
+
|
199
|
+
mistune 0.8.4 py36h1de35cc_0
|
200
|
+
|
201
|
+
mkl 2019.5 intel_281 intel
|
202
|
+
|
203
|
+
mkl-service 2.3.0 py36h9ed2024_0
|
204
|
+
|
205
|
+
mkl_fft 1.2.0 py36hc64f4ea_0
|
206
|
+
|
207
|
+
mkl_random 1.1.1 py36h959d312_0
|
208
|
+
|
209
|
+
nbclient 0.5.1 py_0
|
210
|
+
|
211
|
+
nbconvert 6.0.7 py36_0
|
212
|
+
|
213
|
+
nbformat 5.0.8 py_0
|
214
|
+
|
215
|
+
ncurses 6.2 h0a44026_1
|
216
|
+
|
217
|
+
nest-asyncio 1.4.3 pyhd3eb1b0_0
|
218
|
+
|
219
|
+
notebook 6.1.6 py36hecd8cb5_0
|
220
|
+
|
221
|
+
numpy 1.19.2 py36h456fd55_0
|
222
|
+
|
223
|
+
numpy-base 1.19.2 py36hcfb5961_0
|
224
|
+
|
225
|
+
olefile 0.46 py36_0
|
226
|
+
|
227
|
+
openssl 1.1.1i h9ed2024_0
|
228
|
+
|
229
|
+
opt_einsum 3.1.0 py_0
|
230
|
+
|
231
|
+
packaging 20.8 pyhd3eb1b0_0
|
232
|
+
|
233
|
+
pandas 1.1.5 py36hb2f4e1b_0
|
234
|
+
|
235
|
+
pandoc 2.11 h0dc7051_0
|
236
|
+
|
237
|
+
pandocfilters 1.4.3 py36hecd8cb5_1
|
238
|
+
|
239
|
+
parso 0.7.0 py_0
|
240
|
+
|
241
|
+
pcre 8.44 hb1e8313_0
|
242
|
+
|
243
|
+
pexpect 4.8.0 pyhd3eb1b0_3
|
244
|
+
|
245
|
+
pickleshare 0.7.5 pyhd3eb1b0_1003
|
246
|
+
|
247
|
+
pillow 8.0.1 py36h5270095_0
|
248
|
+
|
249
|
+
pip 20.3.3 py36hecd8cb5_0
|
250
|
+
|
251
|
+
prometheus_client 0.9.0 pyhd3eb1b0_0
|
252
|
+
|
253
|
+
prompt-toolkit 3.0.8 py_0
|
254
|
+
|
255
|
+
prompt_toolkit 3.0.8 0
|
256
|
+
|
257
|
+
protobuf 3.13.0.1 py36hb1e8313_1
|
258
|
+
|
259
|
+
ptyprocess 0.6.0 pyhd3eb1b0_2
|
260
|
+
|
261
|
+
pycparser 2.20 py_2
|
262
|
+
|
263
|
+
pygments 2.7.3 pyhd3eb1b0_0
|
264
|
+
|
265
|
+
pyopenssl 20.0.1 pyhd3eb1b0_1
|
266
|
+
|
267
|
+
pyparsing 2.4.7 py_0
|
268
|
+
|
269
|
+
pyqt 5.9.2 py36h655552a_2
|
270
|
+
|
271
|
+
pyrsistent 0.17.3 py36haf1e3a3_0
|
272
|
+
|
273
|
+
pysocks 1.7.1 py36hecd8cb5_0
|
274
|
+
|
275
|
+
python 3.6.12 h26836e1_2
|
276
|
+
|
277
|
+
python-dateutil 2.8.1 py_0
|
278
|
+
|
279
|
+
pytz 2020.5 pyhd3eb1b0_0
|
280
|
+
|
281
|
+
pyzmq 20.0.0 py36h23ab428_1
|
282
|
+
|
283
|
+
qt 5.9.7 h468cd18_1
|
284
|
+
|
285
|
+
qtconsole 4.7.7 py_0
|
286
|
+
|
287
|
+
qtpy 1.9.0 py_0
|
288
|
+
|
289
|
+
readline 8.0 h1de35cc_0
|
290
|
+
|
291
|
+
requests 2.25.1 pyhd3eb1b0_0
|
292
|
+
|
293
|
+
scikit-learn 0.24.0 pypi_0 pypi
|
294
|
+
|
295
|
+
scipy 1.5.2 py36h912ce22_0
|
296
|
+
|
297
|
+
send2trash 1.5.0 pyhd3eb1b0_1
|
298
|
+
|
299
|
+
setuptools 51.0.0 py36hecd8cb5_2
|
300
|
+
|
301
|
+
sip 4.19.8 py36h0a44026_0
|
302
|
+
|
303
|
+
six 1.15.0 py36hecd8cb5_0
|
304
|
+
|
305
|
+
sklearn 0.0 pypi_0 pypi
|
306
|
+
|
307
|
+
sqlite 3.33.0 hffcf06c_0
|
308
|
+
|
309
|
+
tbb 2019.6 intel_233 intel
|
310
|
+
|
311
|
+
tensorboard 2.0.0 pyhb38c66f_1
|
312
|
+
|
313
|
+
tensorflow-base 2.0.0 mkl_py36h66b1bf0_0
|
314
|
+
|
315
|
+
tensorflow-estimator 2.0.0 pyh2649769_0
|
316
|
+
|
317
|
+
termcolor 1.1.0 py36_1
|
318
|
+
|
319
|
+
terminado 0.9.1 py36_0
|
320
|
+
|
321
|
+
testpath 0.4.4 py_0
|
322
|
+
|
323
|
+
threadpoolctl 2.1.0 pypi_0 pypi
|
324
|
+
|
325
|
+
tk 8.6.10 hb0a8c7a_0
|
326
|
+
|
327
|
+
tornado 6.1 py36h9ed2024_0
|
328
|
+
|
53
|
-
|
329
|
+
----
|
54
330
|
|
55
331
|
```
|
332
|
+
|
333
|
+
になります.
|
334
|
+
|
335
|
+
初歩的な質問で申し訳ありませんが,よろしくお願いいたします.
|