Traceback (most recent call last):

 "/Users/loic/local/virtualenvs/py2.6/lib/python2.6/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)

 "/Users/loic/local/virtualenvs/py2.6/lib/python2.6/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)

 "/Users/loic/local/virtualenvs/py2.6/lib/python2.6/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)

 "/Users/loic/Projects/python/networkx/nx-master/networkx/**init**.py", line 43, in <module>
from networkx import release

 "/Users/loic/Projects/python/networkx/nx-master/networkx/release.py", line 231, in <module>
date, date_info, version, version_info, vcs_info = get_info()

 "/Users/loic/Projects/python/networkx/nx-master/networkx/release.py", line 154, in get_info
revision, vcs_info = get_revision()

 "/Users/loic/Projects/python/networkx/nx-master/networkx/release.py", line 130, in get_revision
p = subprocess.Popen(['hg', 'id'], cwd=basedir, stdout=subprocess.PIPE)

 "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/subprocess.py", line 623, in **init**
errread, errwrite)

 "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/subprocess.py", line 1141, in _execute_child
raise child_exceptionOSError: [Errno 2] No such file or directory
Traceback (most recent call last):


 "<input>", line 11, in <module>


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/engine/base_layer.py", line 459, in __call__

output = self.call(inputs, **kwargs)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/layers/normalization.py", line 204, in call

training=training)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3069, in in_train_phase

x = switch(training, x, alt)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3004, in switch

else_expression_fn)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func

return func(*args, **kwargs)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2072, in cond

orig_res_f, res_f = context_f.BuildCondBranch(false_fn)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1913, in BuildCondBranch

original_result = fn()


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/layers/normalization.py", line 165, in normalize_inference

epsilon=self.epsilon)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 1894, in batch_normalization

is_training=False


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/nn_impl.py", line 904, in fused_batch_norm

name=name)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 3429, in _fused_batch_norm

is_training=is_training, name=name)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper

op_def=op_def)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op

op_def=op_def)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1734, in __init__

control_input_ops)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op

raise ValueError(str(e))
ValueError: Shape must be rank 1 but is rank 4 for 'batch_normalization_1/cond/FusedBatchNorm' (op: 'FusedBatchNorm') with input shapes: [?,64,1001,1001], [1,64,1,1], [1,64,1,1], [1,64,1,1], [1,64,1,1].
