def get_output(layer_or_layers, inputs=None, **kwargs):
 from .input import InputLayer
 from .base import MergeLayer
 accepted_kwargs = {'deterministic'}
 treat_as_input = (inputs.keys() if isinstance(inputs, dict) else [])
 all_layers = get_all_layers(layer_or_layers, treat_as_input)
 all_outputs = dict(((layer, layer.input_var) for layer in all_layers if (isinstance(layer, InputLayer) and (layer not in treat_as_input))))
 if isinstance(inputs, dict):
  all_outputs.update(((layer, utils.as_theano_expression(expr)) for (layer, expr) in inputs.items()))
 elif (inputs is not None):
  if (len(all_outputs) > 1):
   raise ValueError('get_output() was called with a single input expression on a network with multiple input layers. Please call it with a dictionary of input expressions instead.')
  for input_layer in all_outputs:
   all_outputs[input_layer] = utils.as_theano_expression(inputs)
 for layer in all_layers:
  if (layer not in all_outputs):
   try:
    if isinstance(layer, MergeLayer):
     layer_inputs = [all_outputs[input_layer] for input_layer in layer.input_layers]
    else:
     layer_inputs = all_outputs[layer.input_layer]
   except KeyError:
    raise ValueError(('get_output() was called without giving an input expression for the free-floating layer %r. Please call it with a dictionary mapping this layer to an input expression.' % layer))
   all_outputs[layer] = layer.get_output_for(layer_inputs, **kwargs)
   try:
    (names, _, _, defaults) = getargspec(layer.get_output_for)
   except TypeError:
    pass
   else:
    if (defaults is not None):
     accepted_kwargs |= set(names[(- len(defaults)):])
   accepted_kwargs |= set(layer.get_output_kwargs)
 unused_kwargs = (set(kwargs.keys()) - accepted_kwargs)
 if unused_kwargs:
  suggestions = []
  for kwarg in unused_kwargs:
   suggestion = get_close_matches(kwarg, accepted_kwargs)
   if suggestion:
    suggestions.append(('%s (perhaps you meant %s)' % (kwarg, suggestion[0])))
   else:
    suggestions.append(kwarg)
  warn(('get_output() was called with unused kwargs:\n DCTB %s' % '\n DCTB '.join(suggestions)))
 try:
  return [all_outputs[layer] for layer in layer_or_layers]
 except TypeError:
  return all_outputs[layer_or_layers]

def get_output ( layer_or_layers , inputs = None , ** kwargs ) : from . input import InputLayer from . base import MergeLayer accepted_kwargs = { 'deterministic' } treat_as_input = ( inputs . keys ( ) if isinstance ( inputs , dict ) else [ ] ) all_layers = get_all_layers ( layer_or_layers , treat_as_input ) all_outputs = dict ( ( ( layer , layer . input_var ) for layer in all_layers if ( isinstance ( layer , InputLayer ) and ( layer not in treat_as_input ) ) ) ) if isinstance ( inputs , dict ) : all_outputs . update ( ( ( layer , utils . as_theano_expression ( expr ) ) for ( layer , expr ) in inputs . items ( ) ) ) elif ( inputs is not None ) : if ( len ( all_outputs ) > 1 ) : raise ValueError ( 'get_output() was called with a single input expression on a network with multiple input layers. Please call it with a dictionary of input expressions instead.' ) for input_layer in all_outputs : all_outputs [ input_layer ] = utils . as_theano_expression ( inputs ) for layer in all_layers : if ( layer not in all_outputs ) : try : if isinstance ( layer , MergeLayer ) : layer_inputs = [ all_outputs [ input_layer ] for input_layer in layer . input_layers ] else : layer_inputs = all_outputs [ layer . input_layer ] except KeyError : raise ValueError ( ( 'get_output() was called without giving an input expression for the free-floating layer %r. Please call it with a dictionary mapping this layer to an input expression.' % layer ) ) all_outputs [ layer ] = layer . get_output_for ( layer_inputs , ** kwargs ) try : ( names , _ , _ , defaults ) = getargspec ( layer . get_output_for ) except TypeError : pass else : if ( defaults is not None ) : accepted_kwargs |= set ( names [ ( - len ( defaults ) ) : ] ) accepted_kwargs |= set ( layer . get_output_kwargs ) unused_kwargs = ( set ( kwargs . keys ( ) ) - accepted_kwargs ) if unused_kwargs : suggestions = [ ] for kwarg in unused_kwargs : suggestion = get_close_matches ( kwarg , accepted_kwargs ) if suggestion : suggestions . append ( ( '%s (perhaps you meant %s)' % ( kwarg , suggestion [ 0 ] ) ) ) else : suggestions . append ( kwarg ) warn ( ( 'get_output() was called with unused kwargs:\n DCTB %s' % '\n DCTB ' . join ( suggestions ) ) ) try : return [ all_outputs [ layer ] for layer in layer_or_layers ] except TypeError : return all_outputs [ layer_or_layers ]
parse and return values from a cloudformation outputs list .