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net.forward運行我使用Python IDE spyder3.2.1在anaconda2，與python2.7，ubuntu14.04Spyder的只是 「內核去世後，重新啓動」 當我在pytorch
代碼如下只是簡單的：
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
"""
input:[batch_size,in_channel,height,width]
kernel:[out_channel,in_channel,kh,kw]
"""
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
# 1 input image channel, 6 output channels, 5x5 square convolution
# kernel
self.conv1 = nn.Conv2d(1, 6, 5)
#(28-5+1)/2=12
self.conv2 = nn.Conv2d(6, 16, 5)
#(12-5+1)/2=4
# an affine operation: y = Wx + b
self.fc1 = nn.Linear(16 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
def forward(self, x):
# Max pooling over a (2, 2) window
x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
# If the size is a square you can only specify a single number
print "after conv1 size is {}".format(x.size())
x = F.max_pool2d(F.relu(self.conv2(x)), 2)
print "after conv2 size is {}".format(x.size())
x = x.view(-1, self.num_flat_features(x))
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
def num_flat_features(self, x):
size = x.size()[1:] # all dimensions except the batch dimension
num_features = 1
for s in size:
num_features *= s
return num_features
net = Net()
print(net)
print "hello wrold"
input = Variable(torch.Tensor(np.random.randint(1,10,size=(1,1,32,32))))
print net.forward(input)
當我使用jupyter筆記本或控制檯，它運行正常，它表示代碼沒有錯誤。
但是當我使用它的Spyder，它只是掛起喜歡這樣的：
As I am not allowed to embed the error image: it says "Kernel died, restarting"
我只是儘量縮小我的代碼找到問題的所在。
這個問題絕對是圍繞着一開始F.max_pool2d()，在轉發方法功能。
但我搜索了很多後，我仍然不知道如何解決它。
暢達列表：
alabaster 0.7.10 py27_0
anaconda 4.4.0 np112py27_0
anaconda-client 1.6.3 py27_0
anaconda-navigator 1.6.2 py27_0
anaconda-project 0.6.0 py27_0
asn1crypto 0.22.0 py27_0
astroid 1.4.9 py27_0
astroid 1.5.3 <pip>
astropy 1.3.2 np112py27_0
Babel 2.5.0 <pip>
babel 2.4.0 py27_0
backports 1.0 py27_0
backports.functools-lru-cache 1.4 <pip>
backports.weakref 1.0rc1 <pip>
backports_abc 0.5 py27_0
beautifulsoup4 4.6.0 py27_0
bitarray 0.8.1 py27_0
blaze 0.10.1 py27_0
bleach 1.5.0 py27_0
bleach 2.0.0 <pip>
bokeh 0.12.5 py27_1
boto 2.46.1 py27_0
bottleneck 1.2.1 np112py27_0
cairo 1.14.8 0
cdecimal 2.3 py27_2
certifi 2017.7.27.1 <pip>
cffi 1.10.0 py27_0
chardet 3.0.3 py27_0
chardet 3.0.4 <pip>
click 6.7 py27_0
cloudpickle 0.2.2 py27_0
clyent 1.2.2 py27_0
colorama 0.3.9 py27_0
conda 4.3.21 py27_0
conda-env 2.6.0 0
configparser 3.5.0 py27_0
contextlib2 0.5.5 py27_0
cryptography 1.8.1 py27_0
curl 7.52.1 0
cycler 0.10.0 py27_0
cython 0.25.2 py27_0
cytoolz 0.8.2 py27_0
dask 0.14.3 py27_1
datashape 0.5.4 py27_0
dbus 1.10.10 0
decorator 4.0.11 py27_0
distributed 1.16.3 py27_0
docutils 0.14 <pip>
docutils 0.13.1 py27_0
entrypoints 0.2.2 py27_1
entrypoints 0.2.3 <pip>
enum34 1.1.6 py27_0
et_xmlfile 1.0.1 py27_0
expat 2.1.0 0
fastcache 1.0.2 py27_1
flask 0.12.2 py27_0
flask-cors 3.0.2 py27_0
fontconfig 2.12.1 3
freetype 2.5.5 2
funcsigs 1.0.2 py27_0
functools32 3.2.3.2 py27_0
futures 3.1.1 py27_0
get_terminal_size 1.0.0 py27_0
gevent 1.2.1 py27_0
glib 2.50.2 1
greenlet 0.4.12 py27_0
grin 1.2.1 py27_3
gst-plugins-base 1.8.0 0
gstreamer 1.8.0 0
h5py 2.7.0 np112py27_0
harfbuzz 0.9.39 2
hdf5 1.8.17 1
heapdict 1.0.0 py27_1
html5lib 0.999999999 <pip>
html5lib 0.999 py27_0
icu 54.1 0
idna 2.5 py27_0
idna 2.6 <pip>
imagesize 0.7.1 py27_0
ipaddress 1.0.18 py27_0
ipykernel 4.6.1 py27_0
ipython 5.3.0 py27_0
ipython_genutils 0.2.0 py27_0
ipywidgets 6.0.0 py27_0
isort 4.2.5 py27_0
isort 4.2.15 <pip>
itsdangerous 0.24 py27_0
jbig 2.1 0
jdcal 1.3 py27_0
jedi 0.10.2 py27_2
jinja2 2.9.6 py27_0
jpeg 9b 0
jsonschema 2.6.0 py27_0
jupyter 1.0.0 py27_3
jupyter-client 5.1.0 <pip>
jupyter_client 5.0.1 py27_0
jupyter_console 5.1.0 py27_0
jupyter_core 4.3.0 py27_0
lazy-object-proxy 1.2.2 py27_0
lazy-object-proxy 1.3.1 <pip>
libffi 3.2.1 1
libgcc 4.8.5 2
libgfortran 3.0.0 1
libiconv 1.14 0
libpng 1.6.27 0
libsodium 1.0.10 0
libtiff 4.0.6 3
libtool 2.4.2 0
libxcb 1.12 1
libxml2 2.9.4 0
libxslt 1.1.29 0
llvmlite 0.18.0 py27_0
locket 0.2.0 py27_1
lxml 3.7.3 py27_0
Markdown 2.6.8 <pip>
markupsafe 0.23 py27_2
MarkupSafe 1.0 <pip>
matplotlib 2.0.2 np112py27_0
mccabe 0.6.1 <pip>
mistune 0.7.4 py27_0
mkl 2017.0.1 0
mkl-service 1.1.2 py27_3
mock 2.0.0 <pip>
mpmath 0.19 py27_1
msgpack-python 0.4.8 py27_0
multipledispatch 0.4.9 py27_0
navigator-updater 0.1.0 py27_0
nbconvert 5.2.1 <pip>
nbconvert 5.1.1 py27_0
nbformat 4.4.0 <pip>
nbformat 4.3.0 py27_0
networkx 1.11 py27_0
nltk 3.2.3 py27_0
nose 1.3.7 py27_1
notebook 5.0.0 py27_0
numba 0.33.0 np112py27_0
numexpr 2.6.2 np112py27_0
numpy 1.12.1 py27_0
numpy 1.13.1 <pip>
numpydoc 0.6.0 py27_0
numpydoc 0.7.0 <pip>
odo 0.5.0 py27_1
olefile 0.44 py27_0
opencv 1.0.1 <pip>
opencv-python 3.3.0.9 <pip>
openpyxl 2.4.7 py27_0
openssl 1.0.2l 0
packaging 16.8 py27_0
pandas 0.20.1 np112py27_0
pandocfilters 1.4.1 py27_0
pandocfilters 1.4.2 <pip>
pango 1.40.3 1
partd 0.3.8 py27_0
path.py 10.3.1 py27_0
pathlib2 2.3.0 <pip>
pathlib2 2.2.1 py27_0
patsy 0.4.1 py27_0
pbr 3.1.1 <pip>
pcre 8.39 1
pep8 1.7.0 py27_0
pexpect 4.2.1 py27_0
pickleshare 0.7.4 py27_0
pillow 4.1.1 py27_0
pip 9.0.1 py27_1
pixman 0.34.0 0
ply 3.10 py27_0
prompt_toolkit 1.0.14 py27_0
protobuf 3.3.0 <pip>
psutil 5.2.2 py27_0
ptyprocess 0.5.1 py27_0
py 1.4.33 py27_0
pycairo 1.10.0 py27_0
pycodestyle 2.3.1 <pip>
pycosat 0.6.2 py27_0
pycparser 2.17 py27_0
pycrypto 2.6.1 py27_6
pycurl 7.43.0 py27_2
pyflakes 1.5.0 py27_0
pyflakes 1.6.0 <pip>
pygments 2.2.0 py27_0
pylint 1.6.4 py27_1
pylint 1.7.2 <pip>
pylzma 0.4.9.post0 <pip>
pyodbc 4.0.16 py27_0
PyOpenGL 3.1.0 <pip>
pyopenssl 17.0.0 py27_0
pyparsing 2.1.4 py27_0
pyqt 5.6.0 py27_2
pytables 3.3.0 np112py27_0
pytest 3.0.7 py27_0
python 2.7.13 0
python-dateutil 2.6.1 <pip>
python-dateutil 2.6.0 py27_0
pytz 2017.2 py27_0
pywavelets 0.5.2 np112py27_0
pyyaml 3.12 py27_0
pyzmq 16.0.2 py27_0
qt 5.6.2 4
qtawesome 0.4.4 py27_0
qtconsole 4.3.0 py27_0
qtconsole 4.3.1 <pip>
qtpy 1.2.1 py27_0
QtPy 1.3.1 <pip>
readline 6.2 2
requests 2.18.4 <pip>
requests 2.14.2 py27_0
rope 0.10.7 <pip>
rope 0.9.4 py27_1
ruamel_yaml 0.11.14 py27_1
scandir 1.5 py27_0
scikit-image 0.13.0 np112py27_0
scikit-learn 0.18.1 np112py27_1
scipy 0.19.0 np112py27_0
seaborn 0.7.1 py27_0
setuptools 27.2.0 py27_0
setuptools 36.2.7 <pip>
simplegeneric 0.8.1 py27_1
singledispatch 3.4.0.3 py27_0
sip 4.18 py27_0
six 1.10.0 py27_0
snowballstemmer 1.2.1 py27_0
sortedcollections 0.5.3 py27_0
sortedcontainers 1.5.7 py27_0
Sphinx 1.6.3 <pip>
sphinx 1.5.6 py27_0
sphinxcontrib-websupport 1.0.1 <pip>
spyder 3.2.1 <pip>
spyder 3.1.4 py27_0
sqlalchemy 1.1.9 py27_0
sqlite 3.13.0 0
ssl_match_hostname 3.4.0.2 py27_1
statsmodels 0.8.0 np112py27_0
subprocess32 3.2.7 py27_0
sympy 1.0 py27_0
tblib 1.3.2 py27_0
tensorflow 1.2.1 <pip>
tensorlayer 1.6.0 <pip>
terminado 0.6 py27_0
testpath 0.3.1 <pip>
testpath 0.3 py27_0
tk 8.5.18 0
toolz 0.8.2 py27_0
torch-0.2.0 1 <pip>
torchvision 0.1.9 <pip>
tornado 4.5.1 py27_0
tqdm 4.15.0 <pip>
traitlets 4.3.2 py27_0
typing 3.6.2 <pip>
unicodecsv 0.14.1 py27_0
unixodbc 2.3.4 0
urllib3 1.22 <pip>
wcwidth 0.1.7 py27_0
webencodings 0.5.1 <pip>
werkzeug 0.12.2 py27_0
wheel 0.29.0 py27_0
widgetsnbextension 2.0.0 py27_0
wrapt 1.10.11 <pip>
wrapt 1.10.10 py27_0
xlrd 1.0.0 py27_0
xlsxwriter 0.9.6 py27_0
xlwt 1.2.0 py27_0
xz 5.2.2 1
yaml 0.1.6 0
zeromq 4.1.5 0
zict 0.1.2 py27_0
zlib 1.2.8 3
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