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diff --git a/tests/validation_new/fixtures/DequantizationLayerFixture.h b/tests/validation_new/fixtures/DequantizationLayerFixture.h
deleted file mode 100644
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--- a/tests/validation_new/fixtures/DequantizationLayerFixture.h
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@@ -1,147 +0,0 @@
-/*
- * Copyright (c) 2017 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE
-#define ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "framework/Asserts.h"
-#include "framework/Fixture.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/IAccessor.h"
-#include "tests/validation_new/CPP/DequantizationLayer.h"
-
-#include <random>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class DequantizationValidationFixedPointFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(TensorShape shape, DataType data_type)
-    {
-        // Initialize random min and max values
-        rand_min_max(&_min, &_max);
-
-        _target    = compute_target(shape, data_type, _min, _max);
-        _reference = compute_reference(shape, data_type, _min, _max);
-    }
-
-protected:
-    template <typename U>
-    void fill(U &&tensor)
-    {
-        library->fill_tensor_uniform(tensor, 0);
-    }
-
-    TensorType compute_target(const TensorShape &shape, DataType data_type, float min, float max)
-    {
-        // Create tensors
-        TensorType src = create_tensor<TensorType>(shape, data_type);
-        TensorType dst = create_tensor<TensorType>(shape, DataType::F32);
-
-        // Create and configure function
-        FunctionType dequantization_layer;
-        dequantization_layer.configure(&src, &dst, &min, &max);
-
-        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Fill tensors
-        fill(AccessorType(src));
-
-        // Compute function
-        dequantization_layer.run();
-
-        return dst;
-    }
-
-    SimpleTensor<float> compute_reference(const TensorShape &shape, DataType data_type, float min, float max)
-    {
-        // Create reference
-        SimpleTensor<T> src{ shape, data_type };
-
-        // Fill reference
-        fill(src);
-
-        return reference::dequantization_layer<T>(src, min, max);
-    }
-
-    /** Generate random constant values to be used as min and max for dequantization.
-     */
-    void rand_min_max(float *min, float *max)
-    {
-        std::mt19937                          gen(library->seed());
-        std::uniform_real_distribution<float> distribution(-10000.0, 10000.0);
-
-        const float n1 = distribution(gen);
-        const float n2 = distribution(gen);
-
-        if(n1 < n2)
-        {
-            *min = n1;
-            *max = n2;
-        }
-        else
-        {
-            *min = n2;
-            *max = n1;
-        }
-    }
-
-    TensorType          _target{};
-    SimpleTensor<float> _reference{};
-    float               _min = 0.f;
-    float               _max = 0.f;
-};
-
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class DequantizationValidationFixture : public DequantizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
-{
-public:
-    template <typename...>
-    void setup(TensorShape shape, DataType data_type)
-    {
-        DequantizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type);
-    }
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE */