TensorFlow Lite models whose I/O is of type `kTfLiteInt8` are rejected,
requiring an I/O wrapper (`Quantize` operators). As signed 8-bit
integers are preferred in TensorFlow's quantization specifications [1],
this patch alleviates the need for an I/O wrapper to run strictly
`kTfLiteInt8`-type models.
[1] https://www.tensorflow.org/lite/performance/quantization_spec
Signed-off-by: Aaron J Arthurs <aajarthurs@gmail.com>
case kTfLiteInt32:
return _NNS_INT32;
case kTfLiteBool:
+ case kTfLiteInt8:
return _NNS_INT8;
case kTfLiteInt64:
return _NNS_INT64;