Renjie 5606c89583 Access input/output tensor details from python ... Inference on a quantized model requires information about * input tensor quantization parameters (dtype, scale, zero point): to convert the input float data into the quantized one * output tensor quantization parameters: convert the quantized result back to float (i.e., sanity check with normal model output) This PR allows users to access these information from the python interpreter. It also refactored the error handling mechanism following TF and TFLite. BUG=b/245831075, b/246651364		2022-09-19 23:15:09 +00:00
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interpreter	Access input/output tensor details from python	2022-09-19 23:15:09 +00:00
tflite_size	Update Flatbuffer version to 2.0.6 and generate schema local. (#1374)	2022-08-25 18:01:35 +00:00