armnn.git -

Age	Commit message (Collapse)	Author
2023-07-31	MLCE-1092 Add Names to Workloads	Mike Kelly
	* Added names to Workloads. * Workloads will be given the name of the Layer that created them. * Added new profiling macros to CL Neon and Ref that add the workload name to the event label * Updated workloads to use new macros. * Added missing profiling to Rank Workloads. * Fixed issue where ClConvolution2dWorkload was being reported as Undefined rather than GpuAcc. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I0a55eab6c2f455b73943aca8e99a247c3cb2a906
2023-05-17	IVGCVSW-7400 POW IVGCVSW-7278 SQUARED_DIFFERENCE.	John Mcloughlin
	* Added 2 new operators as ElementWiseBinary ops * Ref End to End and unit tests * Serialize and Deserialize tests * Delegate and Opaque Delegate tests * TfLite Parser tests Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com> Change-Id: I537158127f602f0c41ca0402aa31655cd3bd4281
2023-03-14	IVGCVSW-3808 Add ElementwiseBinaryLayer	Mike Kelly
	!android-nn-driver:9329 * Added ElementwiseBinaryLayer that can represent all ElementwiseBinary operations including Add, Div, Sub, Maximum, Mul and Minimum. * Updated Delegate to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated Deserializer to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add layer. * Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated CL and Neon tests to use ElementwiseBinaryLayer. * Updated CL and Neon Backend Specific Optimizations to accept ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum layers. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75