"Use with Keras Model" in Tutorioal does not work properly

[tomoyukilabs]

I'd like to know how to solve the following problem. I've tried a tutorial "Use with Keras Model" as shell command and python script, but both would result in an error like:

AttributeError: 'Model' object has no attribute 'nodes_by_depth'

I really appreciate your help.

[milhidaka]

Thanks for reporting.
I will investigate it.

[iver56]

I got the same error message

play.py:

from keras.applications import resnet50
model = resnet50.ResNet50(include_top=True, weights='imagenet')
model.save("resnet50.h5")


from webdnn.frontend.keras import KerasConverter
from webdnn.backend import generate_descriptor

graph = KerasConverter(batch_size=1).convert(model)
exec_info = generate_descriptor("fallback", graph)  # also "webassembly", "webgl", "fallback" are available.
exec_info.save("./output")

Traceback (most recent call last):
  File "play.py", line 9, in <module>
    graph = KerasConverter(batch_size=1).convert(model)
  File "/home/iverjo/anaconda3/lib/python3.6/site-packages/webdnn-1.1.0-py3.6.egg/webdnn/frontend/keras/converter.py", line 115, in convert
    return self._convert_fallback(model)
  File "/home/iverjo/anaconda3/lib/python3.6/site-packages/webdnn-1.1.0-py3.6.egg/webdnn/frontend/keras/converter.py", line 127, in _convert_fallback
    for depth in sorted(list(model.nodes_by_depth.keys()), reverse=True):
AttributeError: 'Model' object has no attribute 'nodes_by_depth'

In my environment (Bash on Ubuntu 16.04 on Windows), pip freeze returns the following:

alabaster==0.7.10
anaconda-client==1.6.5
anaconda-navigator==1.6.9
anaconda-project==0.8.0
asn1crypto==0.22.0
astroid==1.5.3
astropy==2.0.2
Babel==2.5.0
backports.shutil-get-terminal-size==1.0.0
beautifulsoup4==4.6.0
bitarray==0.8.1
bkcharts==0.2
blaze==0.11.3
bleach==1.5.0
bokeh==0.12.10
boto==2.48.0
Bottleneck==1.2.1
certifi==2017.7.27.1
cffi==1.10.0
chardet==3.0.4
click==6.7
cloudpickle==0.4.0
clyent==1.2.2
colorama==0.3.9
conda==4.4.7
conda-build==3.0.27
conda-verify==2.0.0
contextlib2==0.5.5
cryptography==2.0.3
cycler==0.10.0
Cython==0.26.1
cytoolz==0.8.2
dask==0.15.3
datashape==0.5.4
decorator==4.1.2
distributed==1.19.1
docutils==0.14
entrypoints==0.2.3
enum34==1.1.6
et-xmlfile==1.0.1
fastcache==1.0.2
filelock==2.0.12
Flask==0.12.2
Flask-Cors==3.0.3
gevent==1.2.2
glob2==0.5
gmpy2==2.0.8
greenlet==0.4.12
h5py==2.7.0
heapdict==1.0.0
html5lib==0.9999999
idna==2.6
imageio==2.2.0
imagesize==0.7.1
ipykernel==4.6.1
ipython==6.1.0
ipython-genutils==0.2.0
ipywidgets==7.0.0
isort==4.2.15
itsdangerous==0.24
jdcal==1.3
jedi==0.10.2
Jinja2==2.9.6
jsonschema==2.6.0
jupyter-client==5.1.0
jupyter-console==5.2.0
jupyter-core==4.3.0
jupyterlab==0.27.0
jupyterlab-launcher==0.4.0
Keras==2.1.3
lazy-object-proxy==1.3.1
llvmlite==0.20.0
locket==0.2.0
lxml==4.1.0
Markdown==2.6.11
MarkupSafe==1.0
matplotlib==2.1.0
mccabe==0.6.1
mistune==0.7.4
mpmath==0.19
msgpack-python==0.4.8
multipledispatch==0.4.9
navigator-updater==0.1.0
nbconvert==5.3.1
nbformat==4.4.0
networkx==2.0
nltk==3.2.4
nose==1.3.7
notebook==5.0.0
numba==0.35.0+10.g143f70e90
numexpr==2.6.2
numpy==1.13.3
numpydoc==0.7.0
odo==0.5.1
olefile==0.44
openpyxl==2.4.8
packaging==16.8
pandas==0.20.3
pandocfilters==1.4.2
partd==0.3.8
path.py==10.3.1
pathlib2==2.3.0
patsy==0.4.1
pep8==1.7.0
pexpect==4.2.1
pickleshare==0.7.4
Pillow==4.2.1
pkginfo==1.4.1
ply==3.10
prompt-toolkit==1.0.15
protobuf==3.5.1
psutil==5.4.0
ptyprocess==0.5.2
py==1.4.34
pycodestyle==2.3.1
pycosat==0.6.3
pycparser==2.18
pycrypto==2.6.1
pycurl==7.43.0
pyflakes==1.6.0
Pygments==2.2.0
pylint==1.7.4
pyodbc==4.0.17
pyOpenSSL==17.2.0
pyparsing==2.2.0
PySocks==1.6.7
pytest==3.2.1
python-dateutil==2.6.1
pytz==2017.2
PyWavelets==0.5.2
PyYAML==3.12
pyzmq==16.0.2
QtAwesome==0.4.4
qtconsole==4.3.1
QtPy==1.3.1
requests==2.18.4
rope==0.10.5
ruamel-yaml==0.11.14
scikit-image==0.13.0
scikit-learn==0.19.1
scipy==1.0.0
seaborn==0.8
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.11.0
snowballstemmer==1.2.1
sortedcollections==0.5.3
sortedcontainers==1.5.7
Sphinx==1.6.3
sphinxcontrib-websupport==1.0.1
spyder==3.2.4
SQLAlchemy==1.1.13
statsmodels==0.8.0
sympy==1.1.1
tables==3.4.2
tblib==1.3.2
tensorflow==1.4.1
tensorflow-tensorboard==0.4.0rc3
terminado==0.6
testpath==0.3.1
toolz==0.8.2
tornado==4.5.2
traitlets==4.3.2
typing==3.6.2
unicodecsv==0.14.1
urllib3==1.22
wcwidth==0.1.7
webdnn==1.1.0
webencodings==0.5.1
Werkzeug==0.12.2
widgetsnbextension==3.0.2
wrapt==1.10.11
xlrd==1.1.0
XlsxWriter==1.0.2
xlwt==1.3.0
zict==0.1.3

[zhaoming0]

The same error throws on Benchmark setup

Error Log

Traceback (most recent call last):
 File "../../bin/convert_keras.py", line 113, in <module>
     main()
 File "../../bin/convert_keras.py", line 63, in main 
     graph = converter.convert(model)
 File "/usr/local/lib/python3.6/dist-packages/webdnn-1.1.0-py3.6.egg/webdnn/frontend/keras/converter.py", line 115, in convert
     return self._convert_fallback(model)
 File "/usr/local/lib/python3.6/dist-packages/webdnn-1.1.0-py3.6.egg/webdnn/frontend/keras/converter.py", line 127, in _convert_fallback
 for depth in sorted(list(model.nodes_by_depth.keys()), reverse=True):
 AttributeError: 'Model' object has no attribute 'nodes_by_depth'

Investigated python script, change #736 and re-install webdnn python3 setup.py install
This error will be fix

@milhidaka @Kiikurage PTAL

[milhidaka]

This problem seems to be caused by following commit:
keras-team/keras@958239c#diff-98d8790a4331685d2a81334c398c4b58R573
And will be released as Keras 2.1.3.

[milhidaka]

Thanks for the patch!
I also updated the document according to the support version change. #738

[tomoyukilabs]

The patches has worked well on my environment. Thanks a lot.