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generative-adversarial-networks's Issues

Variable d_w1/Adam_3/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

error
ValueError: Variable d_w1/Adam_3/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?
trial 1

d_trainer_fake = tf.train.AdamOptimizer(0.0003).minimize(d_loss_fake, var_list=d_vars)
d_trainer_real = tf.train.AdamOptimizer(0.0003).minimize(d_loss_real, var_list=d_vars)

# Train the generator
g_trainer = tf.train.AdamOptimizer(0.0001).minimize(g_loss, var_list=g_vars)

trial 2

with tf.variable_scope(tf.get_variable_scope()):
    d_trainer_real = tf.train.AdamOptimizer(0.0003).minimize(d_loss_real, var_list=d_vars)

    d_trainer_fake = tf.train.AdamOptimizer(0.0003).minimize(d_loss_fake, var_list=d_vars)
    g_trainer = tf.train.AdamOptimizer(0.0001).minimize(g_loss, var_list=g_vars)

Python 3.5.2
tf.version = '1.11.0'

Not able to load pre-trained model

Error Tensor name "g_b1/beta" not found in checkpoint files pretrained-model/pretrained_gan.ckpt when loading pre-trained model, can anyone help?

Python 3.5 TensorFlow 1.2 variable scope related error

ValueError: Variable d_w1/Adam_1/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?

at line 128: d_trainer_fake = tf.train.AdamOptimizer(0.0003).minimize(d_loss_fake, var_list=d_vars)

Error for running with TensorFlow: ValueError: Variable d_w1/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?

Hello, please maybe could you help me? I had a running for running, I tried to figurate how to solve but I could not, I tried also with Python 2, 3.5, 3.6, And Tensorflow 1 and 1.1

The complete Error was:
heather@heather-ThinkPad-P50:~/Downloads/generative-adversarial-networks-master (2)$ python3 gan-script.py
Extracting MNIST_data/train-images-idx3-ubyte.gz
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "gan-script.py", line 131, in
d_trainer_fake = tf.train.AdamOptimizer(0.0003).minimize(d_loss_fake, var_list=d_vars)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 325, in minimize
name=name)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 446, in apply_gradients
self._create_slots([_get_variable_for(v) for v in var_list])
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/adam.py", line 122, in _create_slots
self._zeros_slot(v, "m", self._name)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 766, in _zeros_slot
named_slots[_var_key(var)] = slot_creator.create_zeros_slot(var, op_name)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/slot_creator.py", line 174, in create_zeros_slot
colocate_with_primary=colocate_with_primary)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/slot_creator.py", line 146, in create_slot_with_initializer
dtype)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/slot_creator.py", line 66, in _create_slot_var
validate_shape=validate_shape)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1049, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 948, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 356, in get_variable
validate_shape=validate_shape, use_resource=use_resource)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 341, in _true_getter
use_resource=use_resource)
File "/home/heather/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 671, in _get_single_variable
"VarScope?" % name)
ValueError:
Variable d_w1/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?

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