def init_from_config(self, config):
"""
:param Config.Config config:
"""
from NetworkDescription import LayerNetworkDescription
data_dims = LayerNetworkDescription.tf_extern_data_types_from_config(config)
for key, init_args in data_dims.items():
# In Returnn with Theano, we usually have the shape (time,batch,feature).
# In TensorFlow, the default is (batch,time,feature).
# This is also what we use here, i.e.:
# batch_dim_axis=0, time_dim_axis=1. See TFEngine.DataProvider._get_next_batch().
self.data[key] = Data(name=key, auto_create_placeholders=True, **init_args)
self.default_target = config.value('target', 'classes')
