1 files changed, 101 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
index d0e624d655..07e2befd66 100644
--- a/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
@@ -111,6 +111,107 @@ LayerTestResult<float, 4> MaximumBroadcast1DVectorTest(
         output);
 }
 
+LayerTestResult<armnn::Half, 4> MaximumFloat16Test(armnn::IWorkloadFactory& workloadFactory,
+                                           const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    using namespace half_float::literal;
+
+    const unsigned int width        = 2u;
+    const unsigned int height       = 2u;
+    const unsigned int channelCount = 2u;
+    const unsigned int batchSize    = 2u;
+
+    unsigned int shape[] = { batchSize, channelCount, height, width };
+
+    std::vector<armnn::Half> input0 =
+    {
+        1._h, 1._h, 1._h, 1._h,  5._h, 5._h, 5._h, 5._h,
+        3._h, 3._h, 3._h, 3._h,  4._h, 4._h, 4._h, 4._h
+    };
+
+    std::vector<armnn::Half> input1 =
+    {
+        2._h, 2._h, 2._h, 2._h,  3._h, 3._h, 3._h, 3._h,
+        4._h, 4._h, 4._h, 4._h,  5._h, 5._h, 5._h, 5._h
+    };
+
+    std::vector<armnn::Half> output =
+    {
+        2._h, 2._h, 2._h, 2._h,  5._h, 5._h, 5._h, 5._h,
+        4._h, 4._h, 4._h, 4._h,  5._h, 5._h, 5._h, 5._h
+    };
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>(
+        workloadFactory,
+        memoryManager,
+        shape,
+        input0,
+        shape,
+        input1,
+        shape,
+        output);
+}
+
+LayerTestResult<armnn::Half, 4> MaximumBroadcast1ElementFloat16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    using namespace half_float::literal;
+    
+    unsigned int shape0[] = { 1, 2, 2, 2 };
+    unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<armnn::Half> input0 = { 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h };
+
+    std::vector<armnn::Half> input1 = { 2._h };
+
+    std::vector<armnn::Half> output = { 2._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h };
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
+LayerTestResult<armnn::Half, 4> MaximumBroadcast1DVectorFloat16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    using namespace half_float::literal;
+    
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+    std::vector<armnn::Half> input0 =
+    {
+        1._h, 2._h, 3._h,  4._h,  5._h,  6._h,
+        7._h, 8._h, 9._h, 10._h, 11._h, 12._h
+    };
+
+    std::vector<armnn::Half> input1 = { 1._h, 2._h, 3._h };
+
+    std::vector<armnn::Half> output =
+    {
+        1._h, 2._h, 3._h,  4._h,  5._h,  6._h,
+        7._h, 8._h, 9._h, 10._h, 11._h, 12._h
+    };
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
 LayerTestResult<uint8_t, 4> MaximumUint8Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)