Traceback (most recent call last):


 "bin/git-cola", line 53, in <module>

from cola.main import main
# pylint: disable=wrong-import-position


 "/Users/atagliasacchi/dev/git-cola/cola/main.py", line 7, in <module>

from .app import add_common_arguments


 "/Users/atagliasacchi/dev/git-cola/cola/app.py", line 15, in <module>

from qtpy import QtCore


 "/Users/atagliasacchi/dev/git-cola/qtpy/__init__.py", line 154, in <module>

raise PythonQtError('No Qt bindings could be found')
qtpy.PythonQtError: No Qt bindings could be found

Traceback (most recent call last):


 "cifar_laplace.py", line 243, in <module>

run_experiment(cifar_set_parameters.get_set_parameters(set_id=int(args.set)))


 "cifar_laplace.py", line 108, in run_experiment

x_train, y_train = utils.get_batch_cifar(checkpoint_file, 100, classes_kshot, 'train', set_id=set_id)


 "..../oneshot_code/utils.py", line 111, in get_batch_cifar

acts = cifar_convnet.network_activation(dp[0], file_name, n_split=n_split)


 "..../cifar_convnet.py", line 186, in network_activation

output_names=['fc_activation']


 "..../tensorpack/predict/base.py", line 141, in __init__

config.model.build_graph(input_placehdrs)


 "..../tensorpack/models/model_desc.py", line 116, in build_graph

self._build_graph(model_inputs)


 "..../cifar_convnet.py", line 92, in _build_graph

add_moving_summary(tf.reduce_mean(wrong, name='train_error'))


 "..../tensorpack/tfutils/summary.py", line 162, in add_moving_summary

avg_maintain_op = averager.apply(v)


 "..../tensorflow/python/training/moving_averages.py", line 387, in apply

(1.0 + num_updates) / (10.0 + num_updates))


 "..../tensorflow/python/ops/gen_math_ops.py", line 1392, in minimum

result = _op_def_lib.apply_op("Minimum", x=x, y=y, name=name)


 "..../tensorflow/python/framework/op_def_library.py", line 331, in apply_op

g = ops._get_graph_from_inputs(_Flatten(keywords.values()))


 "..../tensorflow/python/framework/ops.py", line 3912, in _get_graph_from_inputs

_assert_same_graph(original_graph_element, graph_element)


 "..../tensorflow/python/framework/ops.py", line 3851, in _assert_same_graph

"%s must be from the same graph as %s." % (item, original_item))
ValueError: Tensor("EMA/decay:0", shape=(), dtype=float32) must be from the same graph as Tensor("truediv:0", shape=(), dtype=float32).
