| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2022-10-28 | IVGCVSW-7296 REDUCE_PROD tests fail when using Tf 2.10 | Teresa Charlin | |
| * 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 | |||
| 2021-02-09 | MLCE-347 'REDUCE_MIN, REDUCE_MAX, REDUCE_SUM Support' | Sadik Armagan | |
| * Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators * Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators * Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8 | |||
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index : armnn.git | |
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