1 files changed, 169 insertions, 0 deletions
diff --git a/delegate/src/test/ElementwiseBinaryTest.cpp b/delegate/src/test/ElementwiseBinaryTest.cpp
new file mode 100644
index 0000000000..bd4019a686
--- /dev/null
+++ b/delegate/src/test/ElementwiseBinaryTest.cpp
@@ -0,0 +1,169 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ElementwiseBinaryTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/interpreter.h>
+#include <tensorflow/lite/kernels/register.h>
+#include <tensorflow/lite/model.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+#include <tensorflow/lite/version.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+TEST_SUITE("ElementwiseBinaryTest")
+{
+
+TEST_CASE ("Add_Float32_GpuAcc_Test")
+{
+    // Create the ArmNN Delegate
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+                                               armnn::Compute::CpuRef };
+    // Set input data
+    std::vector<int32_t> input0Shape { 2, 2, 2, 3 };
+    std::vector<int32_t> input1Shape { 2, 2, 2, 3 };
+    std::vector<int32_t> outputShape { 2, 2, 2, 3 };
+
+    std::vector<float> input0Values =
+    {
+        0.0f, 2.0f, 1.0f,
+        0.2f, 1.0f, 2.0f,
+
+        1.0f, 2.0f, 1.0f,
+        0.2f, 1.0f, 2.0f,
+
+        0.0f, 2.0f, 1.0f,
+        4.2f, 1.0f, 2.0f,
+
+        0.0f, 0.0f, 1.0f,
+        0.2f, 1.0f, 2.0f,
+
+    };
+
+    std::vector<float> input1Values =
+    {
+        1.0f, 2.0f,  1.0f,
+        0.0f, 1.0f,  2.0f,
+
+        1.0f, 2.0f, -2.0f,
+        0.2f, 1.0f,  2.0f,
+
+        0.0f, 2.0f,  1.0f,
+        4.2f, 0.0f, -3.0f,
+
+        0.0f, 0.0f,  1.0f,
+        0.7f, 1.0f,  5.0f,
+    };
+
+    std::vector<float> expectedOutputValues =
+    {
+        1.0f, 4.0f,  2.0f,
+        0.2f, 2.0f,  4.0f,
+
+        2.0f, 4.0f, -1.0f,
+        0.4f, 2.0f,  4.0f,
+
+        0.0f, 4.0f,  2.0f,
+        8.4f, 1.0f, -1.0f,
+
+        0.0f, 0.0f,  2.0f,
+        0.9f, 2.0f,  7.0f,
+    };
+
+
+    ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
+                              tflite::ActivationFunctionType_NONE,
+                              backends,
+                              input0Shape,
+                              input1Shape,
+                              outputShape,
+                              input0Values,
+                              input1Values,
+                              expectedOutputValues);
+}
+
+TEST_CASE ("Add_Broadcast_Float32_GpuAcc_Test")
+{
+    // Create the ArmNN Delegate
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+                                               armnn::Compute::CpuRef };
+    // Set input data
+    std::vector<int32_t> input0Shape { 1, 3, 2, 1 };
+    std::vector<int32_t> input1Shape { 1, 1, 2, 3 };
+    std::vector<int32_t> outputShape { 1, 3, 2, 3 };
+
+    std::vector<float> input0Values
+    {
+        0.0f,
+        1.0f,
+
+        2.0f,
+        3.0f,
+
+        4.0f,
+        5.0f,
+    };
+    std::vector<float> input1Values
+    {
+        0.5f, 1.5f, 2.5f,
+        3.5f, 4.5f, 5.5f,
+    };
+    // Set output data
+    std::vector<float> expectedOutputValues
+    {
+        0.5f, 1.5f, 2.5f,
+        4.5f, 5.5f, 6.5f,
+
+        2.5f, 3.5f, 4.5f,
+        6.5f, 7.5f, 8.5f,
+
+        4.5f, 5.5f, 6.5f,
+        8.5f, 9.5f, 10.5f,
+    };
+    ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
+                              tflite::ActivationFunctionType_NONE,
+                              backends,
+                              input0Shape,
+                              input1Shape,
+                              outputShape,
+                              input0Values,
+                              input1Values,
+                              expectedOutputValues);
+}
+
+TEST_CASE ("Add_ActivationRELU_Float32_GpuAcc_Test")
+{
+    // Create the ArmNN Delegate
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+                                               armnn::Compute::CpuRef };
+    // Set input data
+    std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+    std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+    std::vector<int32_t> outputShape { 1, 2, 2, 1 };
+
+    std::vector<float> input0Values { 4.0f, 0.8f, 0.7f, -0.8f };
+    std::vector<float> input1Values { 0.7f, -1.2f, 0.8f, 0.5f };
+    // Set output data
+    std::vector<float> expectedOutputValues { 4.7f, 0.0f, 1.5f, 0.0f };
+    ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
+                              tflite::ActivationFunctionType_RELU,
+                              backends,
+                              input0Shape,
+                              input1Shape,
+                              outputShape,
+                              input0Values,
+                              input1Values,
+                              expectedOutputValues);
+}
+
+}
+
+} // namespace armnnDelegate
+\ No newline at end of file