ex7_2_gan_cnn_mnist_tf.py를 실행하니 다음과 같은 에러가 납니다.

[kwhkim]

Using TensorFlow backend.
<function image_data_format at 0x7fb6200a4d90>
Output_fold is GAN_OUT
2018-11-25 08:56:45.589349: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to
use: SSE4.1 SSE4.2 AVX
2018-11-25 08:56:45.679946: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there
must be at least one NUMA node, so returning NUMA node zero
2018-11-25 08:56:45.680395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:00:04.0
totalMemory: 11.17GiB freeMemory: 11.09GiB
2018-11-25 08:56:45.680431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0
2018-11-25 08:56:46.007533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-11-25 08:56:46.007606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0
2018-11-25 08:56:46.007617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N
2018-11-25 08:56:46.007899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 wi
th 10749 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)
Epoch is 0
Number of batches 2
Traceback (most recent call last):
File "ex7_2_gan_cnn_mnist_tf.py", line 211, in
main()
File "ex7_2_gan_cnn_mnist_tf.py", line 207, in main
train(args)
File "ex7_2_gan_cnn_mnist_tf.py", line 166, in train
d_loss, g_loss = gan.train_both(x)
File "ex7_2_gan_cnn_mnist_tf.py", line 97, in train_both
g_loss = self.train_on_batch(z, [1] * ln)
File "/home/zeroone_gcp/anaconda3/envs/env-py36-gym-tf/lib/python3.6/site-packages/keras/engine/training.py", line 1211, in train_on_batch
class_weight=class_weight)
File "/home/zeroone_gcp/anaconda3/envs/env-py36-gym-tf/lib/python3.6/site-packages/keras/engine/training.py", line 677, in _standardize_user_data
self._set_inputs(x)
File "/home/zeroone_gcp/anaconda3/envs/env-py36-gym-tf/lib/python3.6/site-packages/keras/engine/training.py", line 636, in _set_inputs
outputs = self.call(unpack_singleton(self.inputs))
File "/home/zeroone_gcp/anaconda3/envs/env-py36-gym-tf/lib/python3.6/site-packages/keras/engine/network.py", line 561, in call
if cache_key in self._output_tensor_cache:
AttributeError: 'GAN' object has no attribute '_output_tensor_cache'

환경은 다음과 같습니다. (conda list)

packages in environment at

Name Version Build Channel

_tflow_select 2.1.0 gpu
absl-py 0.6.1 py36_0
astor 0.7.1 py36_0
atari-py 0.1.6
backcall 0.1.0 py36_0
blas 1.0 mkl
bleach 3.0.2 py36_0
box2d-py 2.3.5
c-ares 1.15.0 h7b6447c_1
ca-certificates 2018.03.07 0
certifi 2018.10.15 py36_0
chardet 3.0.4
cloudpickle 0.6.1 py36_0
cudatoolkit 9.2 0
cudnn 7.2.1 cuda9.2_0
cupti 9.2.148 0
cycler 0.10.0 py36_0
dask-core 0.20.2 py36_0
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py36_0
entrypoints 0.2.3 py36_2
expat 2.2.6 he6710b0_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
future 0.17.1
gast 0.2.0 py36_0
glib 2.56.2 hd408876_0
gmp 6.1.2 h6c8ec71_1
grpcio 1.14.1 py36h9ba97e2_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
gym 0.10.9
h5py 2.8.0 py36h989c5e5_3
hdf5 1.10.2 hba1933b_1
icu 58.2 h9c2bf20_1
idna 2.7
imageio 2.4.1 py36_0
intel-openmp 2019.0 118
ipykernel 5.1.0 py36h39e3cac_0
ipython 7.1.1 py36h39e3cac_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.4.2 py36_0
jedi 0.13.1 py36_0
jinja2 2.10 py36_0
jpeg 9b h024ee3a_2
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_7
jupyter_client 5.2.3 py36_0
jupyter_console 6.0.0 py36_0
jupyter_core 4.4.0 py36_0
keras 2.2.4 0
keras-applications 1.0.6 py36_0
keras-base 2.2.4 py36_0
keras-preprocessing 1.0.5 py36_0
kiwisolver 1.0.1 py36hf484d3e_0
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.35 hbc83047_0
libprotobuf 3.6.1 hd408876_0
libsodium 1.0.16 h1bed415_0
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.9 he85c1e1_2
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.8 h26e45fe_1
markdown 3.0.1 py36_0
markupsafe 1.0 py36h14c3975_1
matplotlib 3.0.1 py36h5429711_0
mistune 0.8.4 py36h7b6447c_0
mkl 2018.0.3 1
mkl_fft 1.0.6 py36h7dd41cf_0
mkl_random 1.0.1 py36h4414c95_1
nbconvert 5.3.1 py36_0
nbformat 4.4.0 py36_0
ncurses 6.1 hf484d3e_0
networkx 2.2 py36_1
notebook 5.7.0 py36_0
numpy 1.15.4 py36h1d66e8a_0
numpy 1.15.4
numpy-base 1.15.4 py36h81de0dd_0
olefile 0.46 py36_0
openssl 1.0.2p h14c3975_0
pandas 0.23.4 py36h04863e7_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py36_1
parso 0.3.1 py36_0
patsy 0.5.1 py36_0
pcre 8.42 h439df22_0
pexpect 4.6.0 py36_0
pickleshare 0.7.5 py36_0
Pillow 5.3.0
pillow 5.3.0 py36h34e0f95_0
pip 18.1 py36_0
prometheus_client 0.4.2 py36_0
prompt_toolkit 2.0.7 py36_0
protobuf 3.6.1 py36he6710b0_0
ptyprocess 0.6.0 py36_0
pudb 2018.1
pydot 1.2.4 py36_0
pyglet 1.3.2
pygments 2.2.0 py36_0
PyOpenGL 3.1.0
pyparsing 2.3.0 py36_0
pyqt 5.9.2 py36h05f1152_2
python 3.6.6 h6e4f718_2
python-dateutil 2.7.5 py36_0
pytz 2018.7 py36_0
pywavelets 1.0.1 py36hdd07704_0
pyyaml 3.13 py36h14c3975_0
pyzmq 17.1.2 py36h14c3975_0
qt 5.9.6 h8703b6f_2
qtconsole 4.4.2 py36_0
readline 7.0 h7b6447c_5
requests 2.20.0
scikit-image 0.14.0 py36hf484d3e_1
scikit-learn 0.20.0
scipy 1.1.0
scipy 1.1.0 py36hfa4b5c9_1
seaborn 0.9.0 py36_0
send2trash 1.5.0 py36_0
setuptools 40.5.0 py36_0
sip 4.19.8 py36hf484d3e_0
six 1.11.0
six 1.11.0 py36_1
sklearn 0.0
sqlite 3.25.2 h7b6447c_0
statsmodels 0.9.0 py36h035aef0_0
tensorboard 1.11.0 py36hf484d3e_0
tensorflow 1.11.0 gpu_py36h9c9050a_0
tensorflow-base 1.11.0 gpu_py36had579c0_0
tensorflow-gpu 1.11.0 h0d30ee6_0
termcolor 1.1.0 py36_1
terminado 0.8.1 py36_1
testpath 0.4.2 py36_0
tk 8.6.8 hbc83047_0
toolz 0.9.0 py36_0
tornado 5.1.1 py36h7b6447c_0
traitlets 4.3.2 py36_0
urllib3 1.24.1
urwid 2.0.1
wcwidth 0.1.7 py36_0
webencodings 0.5.1 py36_1
werkzeug 0.14.1 py36_0
wheel 0.32.2 py36_0
widgetsnbextension 3.4.2 py36_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zlib 1.2.11 ha838bed_2

[kwhkim]

keras=2.0.5에서는 에러 없이 실행 되기는 합니다만...

[Lunrot]

학습용 생성망을 ex7_1 예제처럼 생성하면 됩니다.
ex7_1의 make_GD를 참고하세요.