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authorTeresa Charlin <teresa.charlinreyes@arm.com>2022-10-27 11:37:29 +0100
committerTeresaARM <teresa.charlinreyes@arm.com>2022-10-28 10:23:36 +0000
commit4d85adf436092d01ca0957967156e36060e8be68 (patch)
treead13e2320c98f93c058b0cd43186005e7258d1ee /scripts/get_compute_library.sh
parent0f86ecfce593a302ebd2baf8b70c9f6f50616f81 (diff)
downloadarmnn-4d85adf436092d01ca0957967156e36060e8be68.tar.gz
IVGCVSW-7296 REDUCE_PROD tests fail when using Tf 2.10
* In TF what ArmNN calls quantized data types can be non-quantized as well. * This patch creates 2 models: * ArmNN: model where int8 and uint8 will always be quantized, but scale can be 1 and offset 0 * TFLite: model where int8 and uint8 can be quantized and non-quantized Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Id960f2f30988f2bbec88cb4e0c52c189ac957bae
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