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authorMike Kelly <mike.kelly@arm.com>2023-03-08 13:47:17 +0000
committerFrancis Murtagh <francis.murtagh@arm.com>2023-03-14 16:40:09 +0000
commit3ec3077b4eaedcc0c20ab5774bdbe365da541445 (patch)
treed601d2000897dec8691bf64cbddc9036f26b8034 /include/armnn/Types.hpp
parenta088cd00b3cce672d26cdcb4965fc2a86b48f339 (diff)
downloadarmnn-3ec3077b4eaedcc0c20ab5774bdbe365da541445.tar.gz
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
Diffstat (limited to 'include/armnn/Types.hpp')
-rw-r--r--include/armnn/Types.hpp18
1 files changed, 15 insertions, 3 deletions
diff --git a/include/armnn/Types.hpp b/include/armnn/Types.hpp
index 4dc613bef3..3c64e82a1e 100644
--- a/include/armnn/Types.hpp
+++ b/include/armnn/Types.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2018-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
@@ -133,6 +133,16 @@ enum class UnaryOperation
Sin = 7
};
+enum class BinaryOperation
+{
+ Add = 0,
+ Div = 1,
+ Maximum = 2,
+ Minimum = 3,
+ Mul = 4,
+ Sub = 5
+};
+
enum class PoolingAlgorithm
{
Max = 0,
@@ -385,6 +395,7 @@ using InferenceTimingPair = std::pair<HighResolutionClock, HighResolutionClock>;
/// This list uses X macro technique.
/// See https://en.wikipedia.org/wiki/X_Macro for more info
+// New layers should be added at last position to minimize instability.
#define LIST_OF_LAYER_TYPE \
X(Activation) \
X(Addition) \
@@ -458,8 +469,9 @@ using InferenceTimingPair = std::pair<HighResolutionClock, HighResolutionClock>;
X(Pooling3d) \
X(GatherNd) \
X(BatchMatMul) \
+ X(ElementwiseBinary) \
-// New layers should be added at last to minimize instability.
+// New layers should be added at last position to minimize instability.
/// When adding a new layer, adapt also the LastLayer enum value in the
/// enum class LayerType below
@@ -469,7 +481,7 @@ enum class LayerType
LIST_OF_LAYER_TYPE
#undef X
FirstLayer = Activation,
- LastLayer = BatchMatMul
+ LastLayer = ElementwiseBinary
};
const char* GetLayerTypeAsCString(LayerType type);