1 files changed, 0 insertions, 166 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index e96f7dc732..f780486626 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -7921,172 +7921,6 @@ LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test(
     return result;
 }
 
-LayerTestResult<float, 2> Rsqrt2dTestCommon(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    const armnn::TensorInfo inputTensorInfo,
-    const armnn::TensorInfo outputTensorInfo,
-    std::vector<float> inputValues,
-    std::vector<float> expectedOutputValues)
-{
-    auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues));
-
-    LayerTestResult<float, 2> result(outputTensorInfo);
-    result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::RsqrtQueueDescriptor descriptor;
-
-    armnn::WorkloadInfo info;
-
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]);
-
-    workload->PostAllocationConfigure();
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get());
-
-    return result;
-}
-LayerTestResult<float, 2> Rsqrt2dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorShape inputShape{ 2, 2 };
-    const armnn::TensorShape outputShape{ 2, 2 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
-    std::vector<float> inputValues
-            {
-                    1.f, 4.f,
-                    16.f, 25.f
-            };
-
-    std::vector<float> expectedOutputValues
-            {
-                    1.f, 0.5f,
-                    0.25f, 0.2f
-            };
-
-    return Rsqrt2dTestCommon(workloadFactory, memoryManager,
-                             inputTensorInfo, outputTensorInfo,
-                             inputValues, expectedOutputValues);
-}
-
-LayerTestResult<float, 3> Rsqrt3dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorShape inputShape{ 3, 1, 2 };
-    const armnn::TensorShape outputShape{ 3, 1, 2 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
-    std::vector<float> inputValues
-            {
-                    1.f, 4.f, 16.f,
-                    25.f, 64.f, 100.f
-            };
-
-    std::vector<float> expectedOutputValues
-            {
-                    1.f, 0.5f, 0.25f,
-                    0.2f, 0.125f, 0.1f
-            };
-
-    auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues));
-
-    LayerTestResult<float, 3> result(outputTensorInfo);
-    result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::RsqrtQueueDescriptor descriptor;
-
-    armnn::WorkloadInfo info;
-
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]);
-
-    workload->PostAllocationConfigure();
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get());
-
-    return result;
-}
-
-LayerTestResult<float, 2> RsqrtZeroTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorShape inputShape{ 1, 2 };
-    const armnn::TensorShape outputShape{ 1, 2 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
-    std::vector<float> inputValues
-            {
-                    0.f, -0.f
-            };
-
-    std::vector<float> expectedOutputValues
-            {
-                    INFINITY, -INFINITY
-            };
-
-    return Rsqrt2dTestCommon(workloadFactory, memoryManager,
-                             inputTensorInfo, outputTensorInfo,
-                             inputValues, expectedOutputValues);
-}
-
-LayerTestResult<float, 2> RsqrtNegativeTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorShape inputShape{ 1, 2 };
-    const armnn::TensorShape outputShape{ 1, 2 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
-    std::vector<float> inputValues
-            {
-                    -25.f, -16.f
-            };
-
-    std::vector<float> expectedOutputValues
-            {
-                    -NAN, -NAN
-            };
-
-    return Rsqrt2dTestCommon(workloadFactory, memoryManager,
-                             inputTensorInfo, outputTensorInfo,
-                             inputValues, expectedOutputValues);
-}
-
 LayerTestResult<float, 4> BatchNormTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)