[TFLite] Add support to int16 data type in TFLite frontend#10915
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Add support for int16 data type and int64 biases/accumulators in the TFLite frontend. Adjusts TFLite tests to cover int16 convolutions and element-wise; Fixes a minor typo negtive->negative in the element-wise tests.
ekalda
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Looks good to me, few nits... Great job for getting int16 mobilenet and conv2d tests running, I think it's a really good improvement to our frontend infra!
lhutton1
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May 18, 2022
Co-authored-by: Elen Kalda <elen.kalda@arm.com>
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Add support for int16 data type and int64 biases/accumulators in the TFLite frontend. Adjusts TFLite tests to cover int16 convolutions and element-wise; Fixes a minor typo negtive->negative in the element-wise tests.
cc @lhutton1 @NicolaLancellotti @ekalda @masahi for reviews