Comments (3)
Hi @janilbols,
I wasn't able to reproduce this error. Could you send me the output of pip list
on your machine?
from bindsnet.
Hi @djsaunde , this is the output of pip list
:
Package Version
------------------------ ----------------------
absl-py 0.6.1
alabaster 0.7.12
astor 0.7.1
atomicwrites 1.2.1
attrs 18.2.0
Babel 2.6.0
backcall 0.1.0
bindsnet 0.2.2
bleach 3.0.2
cachetools 3.0.0
certifi 2018.11.29
chardet 3.0.4
cloudpickle 0.6.1
cycler 0.10.0
Cython 0.29.2
dask 1.0.0
decorator 4.3.0
defusedxml 0.5.0
docutils 0.14
entrypoints 0.2.3
foolbox 1.8.0
future 0.17.1
gast 0.2.0
gitdb2 2.0.5
GitPython 2.1.11
google-api-core 1.6.0
google-auth 1.6.1
google-cloud 0.34.0
google-cloud-bigquery 1.8.0
google-cloud-core 0.29.0
google-resumable-media 0.3.1
googleapis-common-protos 1.5.5
grpcio 1.16.0
gym 0.10.9
h5py 2.8.0
idna 2.8
imagesize 1.1.0
ipykernel 5.1.0
ipython 7.1.1
ipython-genutils 0.2.0
ipywidgets 7.4.2
jedi 0.13.1
Jinja2 2.10
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.2.3
jupyter-console 6.0.0
jupyter-core 4.4.0
Keras 2.2.4
Keras-Applications 1.0.6
Keras-Preprocessing 1.0.5
kiwisolver 1.0.1
Markdown 3.0.1
MarkupSafe 1.1.0
matplotlib 3.0.1
mistune 0.8.4
more-itertools 4.3.0
nbconvert 5.4.0
nbformat 4.4.0
networkx 2.2
notebook 5.7.0
numpy 1.15.4
opencv-python 3.4.4.19
packaging 18.0
pandas 0.23.4
pandocfilters 1.4.2
parso 0.3.1
pathlib2 2.3.3
pexpect 4.6.0
pickleshare 0.7.5
Pillow 5.3.0
pip 18.1
pluggy 0.8.0
prometheus-client 0.4.2
prompt-toolkit 2.0.7
protobuf 3.6.1
ptyprocess 0.6.0
py 1.7.0
pyasn1 0.4.4
pyasn1-modules 0.2.2
pycurl 7.43.0
pyglet 1.3.2
Pygments 2.2.0
pygobject 3.20.0
pyparsing 2.3.0
pyproj 1.9.5.1
pytest 4.0.2
python-apt 1.1.0b1+ubuntu0.16.4.2
python-dateutil 2.7.5
pytz 2018.7
PyWavelets 1.0.1
PyYAML 3.13
pyzmq 17.1.2
qtconsole 4.4.2
requests 2.21.0
rsa 4.0
scikit-image 0.14.1
scikit-learn 0.20.0
scipy 1.1.0
Send2Trash 1.5.0
setuptools 40.5.0
six 1.11.0
sklearn 0.0
smmap2 2.0.5
snowballstemmer 1.2.1
Sphinx 1.8.2
sphinx-rtd-theme 0.4.2
sphinxcontrib-websupport 1.1.0
tensorboard 1.12.0
tensorflow-gpu 1.12.0
termcolor 1.1.0
terminado 0.8.1
testpath 0.4.2
toolz 0.9.0
torch 1.0.0
torchvision 0.2.1
tornado 5.1.1
tqdm 4.28.1
traitlets 4.3.2
urllib3 1.24.1
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.14.1
wheel 0.32.2
widgetsnbextension 3.4.2
BTW, the code works well while running on Cpu.
from bindsnet.
Problem solved after changing the script 'eth_mnist.py' line 113 to 116:
accuracy['all'].append(100 * torch.sum(labels[i - update_interval:i].long() \
== all_activity_pred).data.tolist() / update_interval)
accuracy['proportion'].append(100 * torch.sum(labels[i - update_interval:i].long() \
== proportion_pred).data.tolist() / update_interval)
The torch.sum
returns a tensor
, which can't be operate by numpy. Use .data.tolist()
to convert tensor to list, which works.
from bindsnet.
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from bindsnet.