parameters: (self)
return_statement: return specs
docstring: Get the specs for the output tensors of the network. Useful to prepare memory allocations.
          :return: A list with two items per element, the shape and (numpy) datatype of each output tensor.
docstring_summary: Get the specs for the output tensors of the network. Useful to prepare memory allocations.
          :return: A list with two items per element, the shape and (numpy) datatype of each output tensor.
docstring_tokens: Get the specs for the output tensors of the network . Useful to prepare memory allocations . : return : A list with two items per element the shape and ( numpy ) datatype of each output tensor .
function: def output_spec(self):
          """
          Get the specs for the output tensors of the network. Useful to prepare memory allocations.
          :return: A list with two items per element, the shape and (numpy) datatype of each output tensor.
          """
          specs = []
          for o in self.outputs:
              specs.append((o['shape'], o['dtype']))
          return specs
function_tokens: def output_spec ( self ) : specs = [ ] for o in self . outputs : specs . append ( ( o [ 'shape' ] , o [ 'dtype' ] ) ) return specs