IVGCVSW-3808 Add ElementwiseBinaryLayer
!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
diff --git a/src/backends/reference/backend.mk b/src/backends/reference/backend.mk
index eb2ec2d..c23984c 100644
--- a/src/backends/reference/backend.mk
+++ b/src/backends/reference/backend.mk
@@ -67,6 +67,7 @@
workloads/RefDepthwiseConvolution2dWorkload.cpp \
workloads/RefDequantizeWorkload.cpp \
workloads/RefDetectionPostProcessWorkload.cpp \
+ workloads/RefElementwiseBinaryWorkload.cpp \
workloads/RefElementwiseWorkload.cpp \
workloads/RefElementwiseUnaryWorkload.cpp \
workloads/RefFakeQuantizationFloat32Workload.cpp \