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FixBug:Tensor is not an element of this graph.#11

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FixBug:Tensor is not an element of this graph.#11
diaoxinqiang wants to merge 3 commits into
ryanjcooper:masterfrom
diaoxinqiang:master

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@diaoxinqiang
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When used server.py to predict,I met and fixed this bug:ValueError: Tensor Tensor("dense_2/Softmax:0", shape=(?, 62), dtype=float32) is not an element of this graph.

@ryanjcooper
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Hi @diaoxinqiang, thanks for finding this. As Keras and Tensorflow have been being updated, some of the legacy API became incompatible. Can you tell me what version of Keras/Tensorflow that this patch was made with so I can test before I merge.
-- Ryan

@ryanjcooper ryanjcooper self-assigned this Oct 17, 2018
@ryanjcooper
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This seems to be the same issue referenced here #5 (comment)

The project was written under Keras version 2.0.4 and Tensorflow version 1.1.0.
The code will run given the dependencies listed in dependencies.txt.

I am open to updating this to be compatible with newer versions of Keras/Tensorflow.

@diaoxinqiang
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here are my dependencies

absl-py==0.4.1
astor==0.7.1
beautifulsoup4==4.6.3
bokeh==0.13.0
certifi==2016.2.28
chardet==3.0.4
click==6.7
cloudpickle==0.5.3
cycler==0.10.0
cytoolz==0.9.0.1
dask==0.18.0
decorator==4.3.0
distributed==1.22.0
Flask==1.0.2
gast==0.2.0
grpcio==1.12.1
h5py==2.8.0
heapdict==1.0.0
idna==2.7
imageio==2.3.0
imutils==0.4.6
itsdangerous==0.24
Jinja2==2.10
Keras==2.2.4
Keras-Applications==1.0.6
Keras-Preprocessing==1.0.5
kiwisolver==1.0.1
locket==0.2.0
lxml==3.8.0
Markdown==2.6.11
MarkupSafe==1.0
matplotlib==2.2.3
mkl-fft==1.0.0
mkl-random==1.0.1
msgpack-python==0.5.6
networkx==2.1
numpy==1.14.5
olefile==0.45.1
opencv-python==3.4.3.18
packaging==17.1
pandas==0.23.1
partd==0.3.8
Pillow==5.2.0
protobuf==3.6.0
psutil==5.4.6
pyparsing==2.2.0
python-dateutil==2.7.3
pytz==2018.4
PyWavelets==0.5.2
PyYAML==3.12
qiniu==7.2.2
requests==2.19.1
scikit-image==0.13.1
scipy==1.1.0
six==1.11.0
sortedcontainers==2.0.4
tblib==1.3.2
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
toolz==0.9.0
tornado==5.0.2
urllib3==1.23
Werkzeug==0.14.1
zict==0.1.3

Tensorflow and Keras:

tensorflow==1.10.0
Keras==2.2.4

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2 participants