Traceback (most recent call last):


 "/home/sashag/miniconda2/envs/magenta/bin/image_stylization_transform", line 11, in <module>

sys.exit(console_entry_point())


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/image_stylization_transform.py", line 143, in console_entry_point

tf.app.run(main)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 43, in run

sys.exit(main(sys.argv[:1] + flags_passthrough))


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/image_stylization_transform.py", line 134, in main

_multiple_images(image, which_styles, output_dir)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/image_stylization_transform.py", line 93, in _multiple_images

'scale': True})


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/model.py", line 54, in transform

h = _conv2d(input_, 9, 1, 32, 'conv1')


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/model.py", line 102, in _conv2d

scope=scope)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 177, in func_with_args

return func(*args, **current_args)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 849, in convolution

outputs = normalizer_fn(outputs, **normalizer_params)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 177, in func_with_args

return func(*args, **current_args)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/ops.py", line 109, in conditional_instance_norm

'gamma', tf.ones_initializer, labels, num_categories)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/magenta/models/image_stylization/ops.py", line 97, in _label_conditioned_variable

trainable=trainable)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 177, in func_with_args

return func(*args, **current_args)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 244, in model_variable

caching_device=caching_device, device=device)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 177, in func_with_args

return func(*args, **current_args)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 208, in variable

caching_device=caching_device)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1024, in get_variable

custom_getter=custom_getter)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 850, in get_variable

custom_getter=custom_getter)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 346, in get_variable

validate_shape=validate_shape)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 331, in _true_getter

caching_device=caching_device, validate_shape=validate_shape)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 677, in _get_single_variable

expected_shape=shape)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 224, in __init__

expected_shape=expected_shape)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 327, in _init_from_args

initial_value(), name="initial_value", dtype=dtype)


 "/home/sashag/miniconda2/envs/magenta/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 665, in <lambda>

shape.as_list(), dtype=dtype, partition_info=partition_info)
TypeError: ones_initializer() got multiple values for keyword argument 'dtype'

"ERROR:root:Traceback (most recent call last):


 "/scripts/elastalert/elastalert/elastalert.py", line 1169, in run_all_rules

num_matches = self.run_rule(rule, endtime, self.starttime)


 "/scripts/elastalert/elastalert/elastalert.py", line 895, in run_rule

next_alert, exponent = self.next_alert_time(rule, silence_cache_key, ts_now())


 "/scripts/elastalert/elastalert/elastalert.py", line 1904, in next_alert_time

if wait >= rule['exponential_realert']:
TypeError: can't compare datetime.timedelta to dict"
why??????????????When I remove these configurations, the alarm is successful