Traceback (most recent call last):


 "train.py", line 252, in <module>

_main_(args)


 "train.py", line 190, in _main_

saved_weights_name
= config['train']['saved_weights_name']


 "train.py", line 108, in create_model

template_model.load_weights(saved_weights_name)


 "/home/hemp/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 2656, in load_weights

f, self.layers, reshape=reshape)


 "/home/hemp/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 3354, in load_weights_from_hdf5_group

str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 1 layers into a model with 147 layers.
Traceback (most recent call last):


 "test.py", line 19, in <module>

mesh.variables['cellsOnEdge'][:] = flatten_field


 "netCDF4/_netCDF4.pyx", line 4796, in netCDF4._netCDF4.Variable.__setitem__


 "/gpfs/fs1/scratch/mcurry/netcdf4/env/lib/python3.6/site-packages/netCDF4/utils.py", line 365, in _StartCountStride

datashape = broadcasted_shape(shape, datashape)


 "/gpfs/fs1/scratch/mcurry/netcdf4/env/lib/python3.6/site-packages/netCDF4/utils.py", line 968, in broadcasted_shape

return np.broadcast(a, b).shape
ValueError: shape mismatch: objects cannot be broadcast to a single shape
