Closed 0xMH closed 6 years ago
It's because, it's a Python2 code. You can do:
sizes = list(sizes)
to make it compatible.
Feel free to send a pull request with fixes.
I got this even with python2
2018-01-22 17:40:34.125294: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
Traceback (most recent call last):
File "main.py", line 379, in <module>
tf.app.run()
File "/usr/lib/python3.4/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 375, in main
gan(dataset, sess)
File "main.py", line 155, in gan
g_model = generator(z, latent_c)
File "main.py", line 70, in generator
net = tf.concat(1, [z, latent_c])
File "/usr/lib/python3.4/site-packages/tensorflow/python/ops/array_ops.py", line 1096, in concat
dtype=dtypes.int32).get_shape().assert_is_compatible_with(
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 836, in convert_to_tensor
as_ref=False)
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 926, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/constant_op.py", line 229, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/constant_op.py", line 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/tensor_util.py", line 383, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/lib/python3.4/site-packages/tensorflow/python/framework/tensor_util.py", line 303, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead
You may be using a recent version of Tensorflow that is not compatible with this code. Can you do pip freeze and paste the output?
Babel==0.9.6
backports.ssl-match-hostname==3.4.0.2
backports.weakref==1.0.post1
bleach==1.5.0
chardet==2.2.1
cloud-init==0.7.9
configobj==4.7.2
decorator==3.4.0
enum34==1.1.6
funcsigs==1.0.2
futures==3.2.0
html5lib==0.9999999
iniparse==0.4
IPy==0.75
Jinja2==2.7.2
jsonpatch==1.2
jsonpointer==1.9
kitchen==1.1.1
Markdown==2.6.11
MarkupSafe==0.11
mock==2.0.0
numpy==1.14.0
pbr==3.1.1
perf==0.1
policycoreutils-default-encoding==0.1
prettytable==0.7.2
protobuf==3.5.1
pycurl==7.19.0
pygobject==3.22.0
pygpgme==0.3
pyliblzma==0.5.3
pyserial==2.6
python-linux-procfs==0.4.9
pyudev==0.15
pyxattr==0.5.1
PyYAML==3.10
requests==2.6.0
schedutils==0.4
scipy==1.0.0
seobject==0.1
sepolicy==1.1
six==1.11.0
tensorflow==1.4.1
tensorflow-tensorboard==0.4.0
urlgrabber==3.10
urllib3==1.10.2
Werkzeug==0.14.1
[root@MLmodel gan-image-similarity]# pip install tensorflow==0.11.0rc0
Collecting tensorflow==0.11.0rc0
Could not find a version that satisfies the requirement tensorflow==0.11.0rc0 (from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1)
No matching distribution found for tensorflow==0.11.0rc0
Maybe it will work with 0.12. An alternative is to use this fork https://github.com/lsheiba/gan-image-similarity it is using TF 1.2
I get this issue when starting main.py