COMPMID-439: Implement NEON Dequantization Layer.

Change-Id: I2f4f9d0d3437e9d8142f0f82b330233d31ffd552
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80086
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

9 files changed, 630 insertions, 1 deletions

diff --git a/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h
new file mode 100644
index 0000000000..4b26fd54e0
--- /dev/null
+++ b/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h
@@ -0,0 +1,68 @@
+/*
+ * 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_NEDEQUANTIZATIONLAYERKERNEL_H__
+#define __ARM_COMPUTE_NEDEQUANTIZATIONLAYERKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Interface for the dequantization layer kernel. */
+class NEDequantizationLayerKernel : public INEKernel
+{
+public:
+    /** Default constructor */
+    NEDequantizationLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEDequantizationLayerKernel(const NEDequantizationLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEDequantizationLayerKernel &operator=(const NEDequantizationLayerKernel &) = delete;
+    /** Default Move Constructor. */
+    NEDequantizationLayerKernel(NEDequantizationLayerKernel &&) = default;
+    /** Default move assignment operator. */
+    NEDequantizationLayerKernel &operator=(NEDequantizationLayerKernel &&) = default;
+    /** Default destructor */
+    ~NEDequantizationLayerKernel() = default;
+    /** Set input, output, min and max.
+     *
+     * @param[in]  input  Source tensor. Data types supported: U8.
+     * @param[out] output Destination tensor. Data types supported: F32.
+     * @param[in]  min    Minimum value of the input tensor.
+     * @param[in]  max    Maximum value of the input tensor.
+     */
+    void configure(const ITensor *input, ITensor *output, const float *min, const float *max);
+
+    // Inherited methods overridden:
+    void run(const Window &window) override;
+
+private:
+    const ITensor *_input;
+    ITensor       *_output;
+    const float   *_min;
+    const float   *_max;
+};
+}
+#endif /*__ARM_COMPUTE_NEDEQUANTIZATIONLAYERKERNEL_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h
new file mode 100644
index 0000000000..7cd8360713
--- /dev/null
+++ b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h
@@ -0,0 +1,64 @@
+/*
+ * 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_NEDEQUANTIZATIONLAYER_H__
+#define __ARM_COMPUTE_NEDEQUANTIZATIONLAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to simulate a dequantization layer. This function calls the following NEON kernels:
+ *
+ * -# @ref NEDequantizationLayerKernel
+ *
+ */
+class NEDequantizationLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    NEDequantizationLayer();
+    /** Configure the kernel.
+     *
+     * @param[in]  input  Source tensor. Data types supported: U8.
+     * @param[out] output Destination tensor. Data types supported: F32.
+     * @param[in]  min    Minimum value of the input tensor.
+     * @param[in]  max    Maximum value of the input tensor.
+     */
+    void configure(const ITensor *input, ITensor *output, const float *min, const float *max);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    NEDequantizationLayerKernel _dequantize_kernel;
+};
+}
+#endif /* __ARM_COMPUTE_NEDEQUANTIZATIONLAYER_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
index ad0f68c58c..ab189fe3a2 100644
--- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
@@ -50,7 +50,7 @@ public:
     /** Set the input and output tensors.
      *
      * @param[in]  input  Source tensor. Data types supported: F32
-     * @param[out] output Destination tensor. Data types supported: F32
+     * @param[out] output Destination tensor. Data types supported: U8
      */
     void configure(const ITensor *input, ITensor *output);
 
diff --git a/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp b/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp
new file mode 100644
index 0000000000..70685c92c5
--- /dev/null
+++ b/src/core/NEON/kernels/NEDequantizationLayerKernel.cpp
@@ -0,0 +1,103 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <arm_neon.h>
+
+using namespace arm_compute;
+
+NEDequantizationLayerKernel::NEDequantizationLayerKernel()
+    : _input(nullptr), _output(nullptr), _min(nullptr), _max(nullptr)
+{
+}
+
+void NEDequantizationLayerKernel::configure(const ITensor *input, ITensor *output, const float *min, const float *max)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(min);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(max);
+
+    // Output tensor auto initialization if not yet initialized
+    auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, DataType::F32, 0);
+
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+
+    _input  = input;
+    _output = output;
+    _min    = min;
+    _max    = max;
+
+    constexpr unsigned int num_elems_processed_per_iteration = 8;
+
+    // Configure window
+    Window                 win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+    update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration), output_access);
+    output_access.set_valid_region(win, input->info()->valid_region());
+
+    INEKernel::configure(win);
+}
+
+void NEDequantizationLayerKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+
+    Iterator input(_input, window);
+    Iterator output(_output, window);
+
+    const float32x4_t vmin    = vdupq_n_f32(*_min);
+    const float       range   = *_max - *_min;
+    const float32x4_t scaling = vdupq_n_f32(range / 255.0f);
+
+    // Uniformly map values to range 8bit integers, i.e. [min, max] -> [0, 255]
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        const uint8x8_t  val_u8       = vld1_u8(reinterpret_cast<uint8_t *>(input.ptr()));
+        const uint16x8_t val_u16      = vmovl_u8(val_u8);
+        const uint32x4_t val_u32_low  = vmovl_u16(vget_low_u16(val_u16));
+        const uint32x4_t val_u32_high = vmovl_u16(vget_high_u16(val_u16));
+        float32x4_t      val_low      = vcvtq_f32_u32(val_u32_low);
+        float32x4_t      val_high     = vcvtq_f32_u32(val_u32_high);
+
+        // Dequantize -> (q / 255.0 * range) + min
+        val_low  = vmulq_f32(val_low, scaling);
+        val_high = vmulq_f32(val_high, scaling);
+        val_low  = vaddq_f32(val_low, vmin);
+        val_high = vaddq_f32(val_high, vmin);
+
+        const float32x4x2_t dequantized = vuzpq_f32(val_low, val_high);
+        vst2q_f32(reinterpret_cast<float *>(output.ptr()), dequantized);
+    },
+    input, output);
+}
diff --git a/src/runtime/NEON/functions/NEDequantizationLayer.cpp b/src/runtime/NEON/functions/NEDequantizationLayer.cpp
new file mode 100644
index 0000000000..f1743674da
--- /dev/null
+++ b/src/runtime/NEON/functions/NEDequantizationLayer.cpp
@@ -0,0 +1,48 @@
+/*
+ * 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.
+ */
+
+#include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+using namespace arm_compute;
+
+NEDequantizationLayer::NEDequantizationLayer()
+    : _dequantize_kernel()
+{
+}
+
+void NEDequantizationLayer::configure(const ITensor *input, ITensor *output, const float *min, const float *max)
+{
+    // Configure kernels
+    _dequantize_kernel.configure(input, output, min, max);
+}
+
+void NEDequantizationLayer::run()
+{
+    NEScheduler::get().schedule(&_dequantize_kernel, Window::DimY);
+}
diff --git a/tests/validation_new/CPP/DequantizationLayer.cpp b/tests/validation_new/CPP/DequantizationLayer.cpp
new file mode 100644
index 0000000000..1c7ec25255
--- /dev/null
+++ b/tests/validation_new/CPP/DequantizationLayer.cpp
@@ -0,0 +1,55 @@
+/*
+ * 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.
+ */
+#include "DequantizationLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
+SimpleTensor<float> dequantization_layer(const SimpleTensor<T> &src, float min, float max)
+{
+    // Create reference
+    SimpleTensor<float> dst{ src.shape(), DataType::F32 };
+
+    const float range   = max - min;
+    const float scaling = range / 255.0f;
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        dst[i] = (static_cast<float>(src[i]) * scaling) + min;
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src, float min, float max);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/CPP/DequantizationLayer.h b/tests/validation_new/CPP/DequantizationLayer.h
new file mode 100644
index 0000000000..33592b89b8
--- /dev/null
+++ b/tests/validation_new/CPP/DequantizationLayer.h
@@ -0,0 +1,44 @@
+/*
+ * 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_H__
+#define __ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_H__
+
+#include "tests/SimpleTensor.h"
+#include "tests/validation_new/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0>
+SimpleTensor<float> dequantization_layer(const SimpleTensor<T> &src, float min, float max);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_H__ */
diff --git a/tests/validation_new/NEON/DequantizationLayer.cpp b/tests/validation_new/NEON/DequantizationLayer.cpp
new file mode 100644
index 0000000000..8b67a14d12
--- /dev/null
+++ b/tests/validation_new/NEON/DequantizationLayer.cpp
@@ -0,0 +1,100 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "framework/Asserts.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets_new/ShapeDatasets.h"
+#include "tests/validation_new/Validation.h"
+#include "tests/validation_new/fixtures/DequantizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+constexpr AbsoluteTolerance<float> tolerance_f32(0.001f);
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(DequantizationLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst = create_tensor<Tensor>(shape, DataType::F32);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    float                 min = 0.f;
+    float                 max = 0.f;
+    NEDequantizationLayer dequant_layer;
+    dequant_layer.configure(&src, &dst, &min, &max);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(src.info()->valid_region(), valid_region);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    const PaddingSize padding = PaddingCalculator(shape.x(), 8).required_padding();
+    validate(src.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+template <typename T>
+using NEDequantizationLayerFixture = DequantizationValidationFixture<Tensor, Accessor, NEDequantizationLayer, T>;
+
+TEST_SUITE(Integer)
+TEST_SUITE(U8)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType", DataType::U8)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/fixtures/DequantizationLayerFixture.h b/tests/validation_new/fixtures/DequantizationLayerFixture.h
new file mode 100644
index 0000000000..35c536d6a0
--- /dev/null
+++ b/tests/validation_new/fixtures/DequantizationLayerFixture.h
@@ -0,0 +1,147 @@
+/*
+ * 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 */