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when i train"train_generation_model",i meet the problem #43

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zhaohuaqing1993 opened this issue Feb 28, 2017 · 3 comments
Open

when i train"train_generation_model",i meet the problem #43

zhaohuaqing1993 opened this issue Feb 28, 2017 · 3 comments

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@zhaohuaqing1993
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when i train"train_generation_model",i meet the problem
Traceback (most recent call last):
File "./train_generative_model.py", line 160, in
g_train, d_train, sampler, saver, loader, extras = get_model(sess=sess, name=args.name, batch_size=args.batch, gpu=args.gpu)
File "/home/sues/Desktop/research-master/research-master/models/autoencoder.py", line 171, in get_model
d_loss_legit = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(D_legit, tf.ones_like(D_legit)))
File "/home/sues/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_impl.py", line 146, in sigmoid_cross_entropy_with_logits
_sentinel, labels, logits)
File "/home/sues/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 1533, in _ensure_xent_args
"named arguments (labels=..., logits=..., ...)" % name)
ValueError: Only call sigmoid_cross_entropy_with_logits with named arguments (labels=..., logits=..., ...)
is someone do it successfully?
thanks

@pandamax
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tensorflow version

@yimenghou
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change all copies of "D_legit, tf.ones_like(D_legit)" to something like "legits=D_legit, labels=tf.ones_like(D_legit)"

@ahmedyahia3393
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in the view steering model.py file
I found his error (ValueError: bad marshal data (unknown type code)) result when trying to execute the view steering model.py
here is the result from the cmd prompt

Traceback (most recent call last):
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 229, in func_load
raw_code = codecs.decode(code.encode('ascii'), 'base64')
UnicodeEncodeError: 'ascii' codec can't encode character '\xe0' in position 46:
ordinal not in range(128)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "view_steering_model.py", line 94, in
model = model_from_json(json.load(jfile))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\models.py", line 349,
in model_from_json
return layer_module.deserialize(config, custom_objects=custom_objects)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers_init_.py", l
ine 55, in deserialize
printable_module_name='layer')
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\models.py", line 1349,
in from_config
layer = layer_module.deserialize(conf, custom_objects=custom_objects)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers_init_.py", l
ine 55, in deserialize
printable_module_name='layer')
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers\core.py", line
711, in from_config
function = func_load(config['function'], globs=globs)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 234, in func_load
code = marshal.loads(raw_code)
ValueError: bad marshal data (unknown type code)

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4 participants