1 files changed, 0 insertions, 94 deletions
diff --git a/delegate/src/test/NormalizationTest.cpp b/delegate/src/test/NormalizationTest.cpp
index 058394edb7..e33dcf056e 100644
--- a/delegate/src/test/NormalizationTest.cpp
+++ b/delegate/src/test/NormalizationTest.cpp
@@ -8,95 +8,12 @@
 #include <armnn_delegate.hpp>
 
 #include <flatbuffers/flatbuffers.h>
-#include <tensorflow/lite/schema/schema_generated.h>
 
 #include <doctest/doctest.h>
 
 namespace armnnDelegate
 {
 
-void L2NormalizationTest(std::vector<armnn::BackendId>& backends)
-{
-    // Set input data
-    std::vector<int32_t> inputShape  { 1, 1, 1, 10 };
-    std::vector<int32_t> outputShape { 1, 1, 1, 10 };
-
-    std::vector<float> inputValues
-    {
-        1.0f,
-        2.0f,
-        3.0f,
-        4.0f,
-        5.0f,
-        6.0f,
-        7.0f,
-        8.0f,
-        9.0f,
-        10.0f
-    };
-
-    const float approxInvL2Norm = 0.050964719f;
-    std::vector<float> expectedOutputValues
-    {
-        1.0f  * approxInvL2Norm,
-        2.0f  * approxInvL2Norm,
-        3.0f  * approxInvL2Norm,
-        4.0f  * approxInvL2Norm,
-        5.0f  * approxInvL2Norm,
-        6.0f  * approxInvL2Norm,
-        7.0f  * approxInvL2Norm,
-        8.0f  * approxInvL2Norm,
-        9.0f  * approxInvL2Norm,
-        10.0f * approxInvL2Norm
-    };
-
-    NormalizationTest<float>(tflite::BuiltinOperator_L2_NORMALIZATION,
-                             ::tflite::TensorType_FLOAT32,
-                             backends,
-                             inputShape,
-                             outputShape,
-                             inputValues,
-                             expectedOutputValues);
-}
-
-void LocalResponseNormalizationTest(std::vector<armnn::BackendId>& backends,
-                                    int32_t radius,
-                                    float bias,
-                                    float alpha,
-                                    float beta)
-{
-    // Set input data
-    std::vector<int32_t> inputShape  { 2, 2, 2, 1 };
-    std::vector<int32_t> outputShape { 2, 2, 2, 1 };
-
-    std::vector<float> inputValues
-    {
-        1.0f, 2.0f,
-        3.0f, 4.0f,
-        5.0f, 6.0f,
-        7.0f, 8.0f
-    };
-
-    std::vector<float> expectedOutputValues
-    {
-        0.5f, 0.400000006f, 0.300000012f, 0.235294119f,
-        0.192307696f, 0.16216217f, 0.140000001f, 0.123076923f
-    };
-
-    NormalizationTest<float>(tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION,
-                             ::tflite::TensorType_FLOAT32,
-                             backends,
-                             inputShape,
-                             outputShape,
-                             inputValues,
-                             expectedOutputValues,
-                             radius,
-                             bias,
-                             alpha,
-                             beta);
-}
-
-
 TEST_SUITE("L2Normalization_CpuRefTests")
 {
 
@@ -108,17 +25,6 @@ TEST_CASE ("L2NormalizationFp32Test_CpuRef_Test")
 
 } // TEST_SUITE("L2Normalization_CpuRefTests")
 
-TEST_SUITE("L2Normalization_CpuAccTests")
-{
-
-TEST_CASE ("L2NormalizationFp32Test_CpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
-    L2NormalizationTest(backends);
-}
-
-} // TEST_SUITE("L2NormalizationFp32Test_CpuAcc_Test")
-
 TEST_SUITE("L2Normalization_GpuAccTests")
 {