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sample_image = generator(z_placeholder, 1, z_dimensions)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-29-c37b1698fba8> in <module>()
----> 1 sample_image = generator(z_placeholder, 1, z_dimensions)
      2 z_batch = np.random.normal(-1, 1, size=[1, z_dimensions])
      3 temp = (sess.run(sample_image, feed_dict={z_placeholder: z_batch}))
      4 my_i = temp.squeeze()
      5 plt.imshow(my_i, cmap='gray_r')

<ipython-input-15-b5a26c2e15ce> in generator(z, batch_size, z_dim, reuse)
     16         output1_shape = [batch_size, s8, s8, g_dim*4]
     17         W_conv1 = tf.get_variable('g_wconv1', [5, 5, output1_shape[-1], int(h0.get_shape()[-1])], 
---> 18                                   initializer=tf.truncated_normal_initializer(stddev=0.1))
     19         b_conv1 = tf.get_variable('g_bconv1', [output1_shape[-1]], initializer=tf.constant_initializer(.1))
     20         H_conv1 = tf.nn.conv2d_transpose(h0, W_conv1, output_shape=output1_shape, strides=[1, 2, 2, 1], padding='SAME')

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.pyc in get_variable(name, shape, dtype, initializer, regularizer, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter)
   1063       collections=collections, caching_device=caching_device,
   1064       partitioner=partitioner, validate_shape=validate_shape,
-> 1065       use_resource=use_resource, custom_getter=custom_getter)
   1066 get_variable_or_local_docstring = (
   1067     """%s

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.pyc in get_variable(self, var_store, name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter)
    960           collections=collections, caching_device=caching_device,
    961           partitioner=partitioner, validate_shape=validate_shape,
--> 962           use_resource=use_resource, custom_getter=custom_getter)
    963 
    964   def _get_partitioned_variable(self,

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.pyc in get_variable(self, name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource, custom_getter)
    365           reuse=reuse, trainable=trainable, collections=collections,
    366           caching_device=caching_device, partitioner=partitioner,
--> 367           validate_shape=validate_shape, use_resource=use_resource)
    368 
    369   def _get_partitioned_variable(

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.pyc in _true_getter(name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, use_resource)
    350           trainable=trainable, collections=collections,
    351           caching_device=caching_device, validate_shape=validate_shape,
--> 352           use_resource=use_resource)
    353 
    354     if custom_getter is not None:

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.pyc in _get_single_variable(self, name, shape, dtype, initializer, regularizer, partition_info, reuse, trainable, collections, caching_device, validate_shape, use_resource)
    662                          " Did you mean to set reuse=True in VarScope? "
    663                          "Originally defined at:\n\n%s" % (
--> 664                              name, "".join(traceback.format_list(tb))))
    665       found_var = self._vars[name]
    666       if not shape.is_compatible_with(found_var.get_shape()):

ValueError: Variable generator/g_wconv1 already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

  File "<ipython-input-15-b5a26c2e15ce>", line 18, in generator
    initializer=tf.truncated_normal_initializer(stddev=0.1))
  File "<ipython-input-23-63a9b9a0b87e>", line 2, in <module>
    Gz = generator(z_placeholder, batch_size, z_dimensions) #Gz holds the generated images
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)