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diff --git a/tests/validation_new/fixtures/ConvolutionLayerFixture.h b/tests/validation_new/fixtures/ConvolutionLayerFixture.h
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index 25a53d0c1d..0000000000
--- a/tests/validation_new/fixtures/ConvolutionLayerFixture.h
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-/*
- * 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_CONVOLUTION_LAYER_FIXTURE
-#define ARM_COMPUTE_TEST_CONVOLUTION_LAYER_FIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.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/ConvolutionLayer.h"
-#include "tests/validation_new/Helpers.h"
-
-#include <random>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class ConvolutionValidationFixedPointFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, DataType data_type, int fractional_bits)
-    {
-        _fractional_bits = fractional_bits;
-        _data_type       = data_type;
-
-        _target    = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, fractional_bits);
-        _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, fractional_bits);
-    }
-
-protected:
-    template <typename U>
-    void fill(U &&tensor, int i)
-    {
-        switch(tensor.data_type())
-        {
-            case DataType::F16:
-            case DataType::F32:
-            {
-                std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
-                library->fill(tensor, distribution, i);
-                break;
-            }
-            default:
-                library->fill_tensor_uniform(tensor, i);
-        }
-    }
-
-    TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info,
-                              DataType data_type, int fixed_point_position)
-    {
-        // Create tensors
-        TensorType src     = create_tensor<TensorType>(input_shape, data_type, 1, fixed_point_position);
-        TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position);
-        TensorType bias    = create_tensor<TensorType>(bias_shape, data_type, 1, fixed_point_position);
-        TensorType dst     = create_tensor<TensorType>(output_shape, data_type, 1, fixed_point_position);
-
-        // Create and configure function
-        FunctionType conv;
-        conv.configure(&src, &weights, &bias, &dst, info);
-
-        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        bias.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!weights.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!bias.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Fill tensors
-        fill(AccessorType(src), 0);
-        fill(AccessorType(weights), 1);
-        fill(AccessorType(bias), 2);
-
-        // Compute NEConvolutionLayer function
-        conv.run();
-
-        return dst;
-    }
-
-    SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info,
-                                      DataType data_type, int fixed_point_position)
-    {
-        // Create reference
-        SimpleTensor<T> src{ input_shape, data_type, 1, fixed_point_position };
-        SimpleTensor<T> weights{ weights_shape, data_type, 1, fixed_point_position };
-        SimpleTensor<T> bias{ bias_shape, data_type, 1, fixed_point_position };
-
-        // Fill reference
-        fill(src, 0);
-        fill(weights, 1);
-        fill(bias, 2);
-
-        return reference::convolution_layer<T>(src, weights, bias, output_shape, info);
-    }
-
-    TensorType      _target{};
-    SimpleTensor<T> _reference{};
-    int             _fractional_bits{};
-    DataType        _data_type{};
-};
-
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class ConvolutionValidationFixture : public ConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
-{
-public:
-    template <typename...>
-    void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, DataType data_type)
-    {
-        ConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, data_type, 0);
-    }
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_CONVOLUTION_LAYER_FIXTURE */