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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?
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Hi,
Thanks for sharing the code, when running ezgan.ipynb, i got the following error message, what can be the problem of it?
The text was updated successfully, but these errors were encountered: