parameters: (self)
return_statement: return self.inputs[0]['shape'], self.inputs[0]['dtype']
docstring: Get the specs for the input tensor of the network. Useful to prepare memory allocations.
          :return: Two items, the shape of the input tensor and its (numpy) datatype.
docstring_summary: Get the specs for the input tensor of the network. Useful to prepare memory allocations.
          :return: Two items, the shape of the input tensor and its (numpy) datatype.
docstring_tokens: Get the specs for the input tensor of the network . Useful to prepare memory allocations . : return : Two items the shape of the input tensor and its ( numpy ) datatype .
function: def input_spec(self):
          """
          Get the specs for the input tensor of the network. Useful to prepare memory allocations.
          :return: Two items, the shape of the input tensor and its (numpy) datatype.
          """
          return self.inputs[0]['shape'], self.inputs[0]['dtype']
function_tokens: def input_spec ( self ) : return self . inputs [ 0 ] [ 'shape' ] , self . inputs [ 0 ] [ 'dtype' ]