1 files changed, 183 insertions, 0 deletions
diff --git a/delegate/test/ReverseV2Test.cpp b/delegate/test/ReverseV2Test.cpp
new file mode 100644
index 0000000000..b261474e99
--- /dev/null
+++ b/delegate/test/ReverseV2Test.cpp
@@ -0,0 +1,183 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ReverseV2TestHelper.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 <schema_generated.h>
+#include <tensorflow/lite/version.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+    void ReverseV2Float32Test(std::vector<armnn::BackendId>& backends)
+    {
+        // Set input data
+        std::vector<float> inputValues =
+        {
+            1.0f, 2.0f, 3.0f,
+            4.0f, 5.0f, 6.0f,
+            7.0f, 8.0f, 9.0f,
+
+            11.0f, 12.0f, 13.0f,
+            14.0f, 15.0f, 16.0f,
+            17.0f, 18.0f, 19.0f,
+
+            21.0f, 22.0f, 23.0f,
+            24.0f, 25.0f, 26.0f,
+            27.0f, 28.0f, 29.0f
+        };
+
+        // The output data
+        std::vector<float> expectedOutputValues =
+        {
+            3.0f, 2.0f, 1.0f,
+            6.0f, 5.0f, 4.0f,
+            9.0f, 8.0f, 7.0f,
+
+            13.0f, 12.0f, 11.0f,
+            16.0f, 15.0f, 14.0f,
+            19.0f, 18.0f, 17.0f,
+
+            23.0f, 22.0f, 21.0f,
+            26.0f, 25.0f, 24.0f,
+            29.0f, 28.0f, 27.0f
+        };
+
+        // The axis to reverse
+        const std::vector<int32_t> axisValues = {2};
+
+        // Shapes
+        const std::vector<int32_t> inputShape = {3, 3, 3};
+        const std::vector<int32_t> axisShapeDims = {1};
+        const std::vector<int32_t> expectedOutputShape = {3, 3, 3};
+
+        ReverseV2FP32TestImpl(tflite::BuiltinOperator_REVERSE_V2,
+                              backends,
+                              inputValues,
+                              inputShape,
+                              axisValues,
+                              axisShapeDims,
+                              expectedOutputValues,
+                              expectedOutputShape);
+    }
+
+    void ReverseV2NegativeAxisFloat32Test(std::vector<armnn::BackendId>& backends)
+    {
+        // Set input data
+        std::vector<float> inputValues =
+        {
+            1.0f, 2.0f, 3.0f,
+            4.0f, 5.0f, 6.0f,
+            7.0f, 8.0f, 9.0f,
+
+            11.0f, 12.0f, 13.0f,
+            14.0f, 15.0f, 16.0f,
+            17.0f, 18.0f, 19.0f,
+
+            21.0f, 22.0f, 23.0f,
+            24.0f, 25.0f, 26.0f,
+            27.0f, 28.0f, 29.0f
+        };
+
+        // The output data
+        std::vector<float> expectedOutputValues =
+        {
+            7.0f, 8.0f, 9.0f,
+            4.0f, 5.0f, 6.0f,
+            1.0f, 2.0f, 3.0f,
+
+            17.0f, 18.0f, 19.0f,
+            14.0f, 15.0f, 16.0f,
+            11.0f, 12.0f, 13.0f,
+
+            27.0f, 28.0f, 29.0f,
+            24.0f, 25.0f, 26.0f,
+            21.0f, 22.0f, 23.0f
+        };
+
+        // The axis to reverse
+        const std::vector<int32_t> axisValues = {-2};
+
+        // Shapes
+        const std::vector<int32_t> inputShape = {3, 3, 3};
+        const std::vector<int32_t> axisShapeDims = {1};
+        const std::vector<int32_t> expectedOutputShape = {3, 3, 3};
+
+        ReverseV2FP32TestImpl(tflite::BuiltinOperator_REVERSE_V2,
+                              backends,
+                              inputValues,
+                              inputShape,
+                              axisValues,
+                              axisShapeDims,
+                              expectedOutputValues,
+                              expectedOutputShape);
+    }
+
+#if defined(REVERSEV2_GPUACC)
+    TEST_SUITE("ReverseV2Tests_GpuAccTests")
+    {
+
+        TEST_CASE ("ReverseV2_Float32_GpuAcc_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+            ReverseV2Float32Test(backends);
+        }
+
+        TEST_CASE ("ReverseV2_NegativeAxis_Float32_GpuAcc_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+            ReverseV2NegativeAxisFloat32Test(backends);
+        }
+
+    } // TEST_SUITE("ReverseV2Tests_GpuAccTests")
+#endif
+
+
+#if defined(REVERSEV2_CPUACC)
+    TEST_SUITE("ReverseV2Tests_CpuAccTests")
+    {
+
+        TEST_CASE ("ReverseV2_Float32_CpuAcc_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+            ReverseV2Float32Test(backends);
+        }
+
+        TEST_CASE ("ReverseV2_NegativeAxis_Float32_CpuAcc_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+            ReverseV2NegativeAxisFloat32Test(backends);
+        }
+
+    } // TEST_SUITE("ReverseV2Tests_CpuAccTests")
+#endif
+
+
+    TEST_SUITE("ReverseV2Tests_CpuRefTests")
+    {
+
+        TEST_CASE ("ReverseV2_Float32_CpuRef_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+            ReverseV2Float32Test(backends);
+        }
+
+        TEST_CASE ("ReverseV2_NegativeAxis_Float32_CpuRef_Test")
+        {
+            std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+            ReverseV2NegativeAxisFloat32Test(backends);
+        }
+
+    } // TEST_SUITE("ReverseV2Tests_CpuRefTests")
+
+} // namespace armnnDelegate