An array of results of model inference. Returns nil when there is an error.

The error, if any, while running the custom model inference, including MachineLearningErrorDomainCode.InvalidArgument when:

• options are nil.
• Either input or outoutput data formats in options are empty.
• The number of inputs do not match the data options.
• The input byte buffer does not have the expected size.
• The input data is neither a byte buffer (NSData) nor an array.
• The input dimension does not match the input format specified in options.
• The input element type in the data options is unexpected.
• The input element type is not a number as specified in the data options.
• The input type specified in the data options does not match the model.
• Dimension of input data does not match the data options.
• An element type in the data options does not match the actual output.
• The total size in bytes specified in the data options does not match the actual output.
• The number of dimensions in the data options does not match the actual output.
• The shape in the data optinos does not match the actual output.
• The output element type in the data options is unexpected. MachineLearningErrorDomainCode.OutOfRange when:
• An input index in options is out of range.
• An output index in options is out of range. MachineLearningErrorDomainCode.Unknown when:
• No output was generated by the custom model.
• There are no tensors matching an output index in the data options. MachineLearningErrorDomainCode.Internal when:
• An input tensor cannot be located.

The index, as an unsignedIntValue, for an input or output op or nil if there was an error.

An error while getting the index or nil.