the problem of d_trainer_fake = tf.train.AdamOptimizer(0.0001).minimize(d_loss_fake, var_list=d_vars)

[wenouyang]

Hi,

Thanks for sharing the code, when running ezgan.ipynb, i got the following error message, what can be the problem of it?

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-5-08535f4b8698> in <module>()
     31 # Increasing from 0.001 in GitHub version
     32 with tf.variable_scope(tf.get_variable_scope(), reuse=False) as scope:
---> 33     d_trainer_fake = tf.train.AdamOptimizer(0.0001).minimize(d_loss_fake, var_list=d_vars)
     34     d_trainer_real = tf.train.AdamOptimizer(0.0001).minimize(d_loss_real, var_list=d_vars)
     35 

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\optimizer.py in minimize(self, loss, global_step, var_list, gate_gradients, aggregation_method, colocate_gradients_with_ops, name, grad_loss)
    407 
    408     return self.apply_gradients(grads_and_vars, global_step=global_step,
--> 409                                 name=name)
    410 
    411   def compute_gradients(self, loss, var_list=None,

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\optimizer.py in apply_gradients(self, grads_and_vars, global_step, name)
    550                        ([str(v) for _, _, v in converted_grads_and_vars],))
    551     with ops.init_scope():
--> 552       self._create_slots([_get_variable_for(v) for v in var_list])
    553     update_ops = []
    554     with ops.name_scope(name, self._name) as name:

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\adam.py in _create_slots(self, var_list)
    129     # Create slots for the first and second moments.
    130     for v in var_list:
--> 131       self._zeros_slot(v, "m", self._name)
    132       self._zeros_slot(v, "v", self._name)
    133 

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\optimizer.py in _zeros_slot(self, var, slot_name, op_name)
    982     named_slots = self._slot_dict(slot_name)
    983     if _var_key(var) not in named_slots:
--> 984       new_slot_variable = slot_creator.create_zeros_slot(var, op_name)
    985       self._restore_slot_variable(
    986           slot_name=slot_name, variable=var,

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\slot_creator.py in create_zeros_slot(primary, name, dtype, colocate_with_primary)
    177     return create_slot_with_initializer(
    178         primary, initializer, slot_shape, dtype, name,
--> 179         colocate_with_primary=colocate_with_primary)
    180   else:
    181     if isinstance(primary, variables.Variable):

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\slot_creator.py in create_slot_with_initializer(primary, initializer, shape, dtype, name, colocate_with_primary)
    151       with ops.colocate_with(primary):
    152         return _create_slot_var(primary, initializer, "", validate_shape, shape,
--> 153                                 dtype)
    154     else:
    155       return _create_slot_var(primary, initializer, "", validate_shape, shape,

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\training\slot_creator.py in _create_slot_var(primary, val, scope, validate_shape, shape, dtype)
     63       use_resource=resource_variable_ops.is_resource_variable(primary),
     64       shape=shape, dtype=dtype,
---> 65       validate_shape=validate_shape)
     66   variable_scope.get_variable_scope().set_partitioner(current_partitioner)
     67 

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(name, shape, dtype, initializer, regularizer, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter, constraint)
   1295       partitioner=partitioner, validate_shape=validate_shape,
   1296       use_resource=use_resource, custom_getter=custom_getter,
-> 1297       constraint=constraint)
   1298 get_variable_or_local_docstring = (
   1299     """%s

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(self, var_store, name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter, constraint)
   1091           partitioner=partitioner, validate_shape=validate_shape,
   1092           use_resource=use_resource, custom_getter=custom_getter,
-> 1093           constraint=constraint)
   1094 
   1095   def _get_partitioned_variable(self,

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(self, name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter, constraint)
    437           caching_device=caching_device, partitioner=partitioner,
    438           validate_shape=validate_shape, use_resource=use_resource,
--> 439           constraint=constraint)
    440 
    441   def _get_partitioned_variable(

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\ops\variable_scope.py in _true_getter(name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource, constraint)
    406           trainable=trainable, collections=collections,
    407           caching_device=caching_device, validate_shape=validate_shape,
--> 408           use_resource=use_resource, constraint=constraint)
    409 
    410     if custom_getter is not None:

~\AppData\Local\Continuum\Anaconda3\envs\deeplab\lib\site-packages\tensorflow\python\ops\variable_scope.py in _get_single_variable(self, name, shape, dtype, initializer, regularizer, partition_info, reuse, trainable, collections, caching_device, validate_shape, use_resource, constraint)
    763       raise ValueError("Variable %s does not exist, or was not created with "
    764                        "tf.get_variable(). Did you mean to set "
--> 765                        "reuse=tf.AUTO_REUSE in VarScope?" % name)
    766     if not shape.is_fully_defined() and not initializing_from_value:
    767       raise ValueError("Shape of a new variable (%s) must be fully defined, "

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