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diff --git a/tests/validation/fixtures/GEMMLowpAssemblyFixture.h b/tests/validation/fixtures/GEMMLowpAssemblyFixture.h
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--- a/tests/validation/fixtures/GEMMLowpAssemblyFixture.h
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-/*
- * Copyright (c) 2017-2019 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_GEMMLOWP_ASSEMBLY_FIXTURE
-#define ARM_COMPUTE_TEST_GEMMLOWP_ASSEMBLY_FIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/IAccessor.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Fixture.h"
-#include "tests/validation/Helpers.h"
-#include "tests/validation/reference/GEMMLowp.h"
-
-#include <random>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T2>
-class GEMMLowpAssemblyFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(size_t m, size_t n, size_t k)
-    {
-        const TensorShape shape_a(k, m);
-        const TensorShape shape_b(n, k);
-        const TensorShape shape_c(n, m);
-        _target    = compute_target(shape_a, shape_b, shape_c);
-        _reference = compute_reference(shape_a, shape_b, shape_c);
-    }
-
-protected:
-    template <typename U>
-    void fill(U &&tensor, int i, int lo, int hi)
-    {
-        std::uniform_int_distribution<> distribution(lo, hi);
-        library->fill(tensor, distribution, i);
-    }
-
-    TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c)
-    {
-        DataType dt_in = std::is_same<T2, int8_t>::value ? DataType::S8 : DataType::U8;
-
-        // Create tensors
-        TensorType a = create_tensor<TensorType>(shape_a, dt_in, 1);
-        TensorType b = create_tensor<TensorType>(shape_b, dt_in, 1);
-        TensorType c = create_tensor<TensorType>(shape_c, DataType::S32, 1);
-
-        // Create and configure function
-        FunctionType gemmlowp;
-        gemmlowp.configure(&a, &b, nullptr, &c);
-
-        ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Allocate tensors
-        a.allocator()->allocate();
-        b.allocator()->allocate();
-        c.allocator()->allocate();
-
-        ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Fill tensors
-        if(dt_in == DataType::S8)
-        {
-            fill(AccessorType(a), 0, -128, 127);
-            fill(AccessorType(b), 1, -128, 127);
-        }
-        else
-        {
-            fill(AccessorType(a), 0, 0, 255);
-            fill(AccessorType(b), 1, 0, 255);
-        }
-        fill(AccessorType(c), 2, 0, 0);
-
-        // Compute GEMM function
-        gemmlowp.run();
-        return c;
-    }
-
-    SimpleTensor<int32_t> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c)
-    {
-        DataType dt = std::is_same<T2, int8_t>::value ? DataType::S8 : DataType::U8;
-
-        // Create reference
-        SimpleTensor<T2> a{ shape_a, dt, 1 };
-        SimpleTensor<T2> b{ shape_b, dt, 1 };
-
-        // Fill reference
-        if(dt == DataType::S8)
-        {
-            fill(a, 0, -128, 127);
-            fill(b, 1, -128, 127);
-        }
-        else
-        {
-            fill(a, 0, 0, 255);
-            fill(b, 1, 0, 255);
-        }
-
-        return reference::gemmlowp<int32_t, T2>(a, b, shape_c);
-    }
-
-    TensorType            _target{};
-    SimpleTensor<int32_t> _reference{};
-};
-
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_GEMMLOWP_FIXTURE */