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| author | Mike Kelly <mike.kelly@arm.com> | 2023-03-08 13:47:17 +0000 |
|---|---|---|
| committer | Francis Murtagh <francis.murtagh@arm.com> | 2023-03-14 16:40:09 +0000 |
| commit | 3ec3077b4eaedcc0c20ab5774bdbe365da541445 (patch) | |
| tree | d601d2000897dec8691bf64cbddc9036f26b8034 /src/backends/cl/test/Fp16SupportTest.cpp | |
| parent | a088cd00b3cce672d26cdcb4965fc2a86b48f339 (diff) | |
| download | armnn-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 'src/backends/cl/test/Fp16SupportTest.cpp')
| -rw-r--r-- | src/backends/cl/test/Fp16SupportTest.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/backends/cl/test/Fp16SupportTest.cpp b/src/backends/cl/test/Fp16SupportTest.cpp index da6ea10926..28ae4795ab 100644 --- a/src/backends/cl/test/Fp16SupportTest.cpp +++ b/src/backends/cl/test/Fp16SupportTest.cpp @@ -28,7 +28,7 @@ TEST_CASE("Fp16DataTypeSupport") Layer* const inputLayer1 = graph.AddLayer<InputLayer>(1, "input1"); Layer* const inputLayer2 = graph.AddLayer<InputLayer>(2, "input2"); - Layer* const additionLayer = graph.AddLayer<AdditionLayer>("addition"); + Layer* const additionLayer = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "addition"); Layer* const outputLayer = graph.AddLayer<armnn::OutputLayer>(0, "output"); TensorInfo fp16TensorInfo({1, 2, 3, 5}, armnn::DataType::Float16); @@ -57,7 +57,7 @@ TEST_CASE("Fp16AdditionTest") IConnectableLayer* inputLayer1 = net->AddInputLayer(0); IConnectableLayer* inputLayer2 = net->AddInputLayer(1); - IConnectableLayer* additionLayer = net->AddAdditionLayer(); + IConnectableLayer* additionLayer = net->AddElementwiseBinaryLayer(BinaryOperation::Add); IConnectableLayer* outputLayer = net->AddOutputLayer(0); inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |