COMPMID-439: Implement NEON Quantization Layer.

Change-Id: Iefbb421915e56d880d6a3e20c113913560f6ca10
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79934
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

8 files changed, 644 insertions, 0 deletions

diff --git a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h
new file mode 100644
index 0000000000..9867e1db03
--- /dev/null
+++ b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.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_NEQUANTIZATIONLAYERKERNEL_H__
+#define __ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Interface for the quantization layer kernel. */
+class NEQuantizationLayerKernel : public INEKernel
+{
+public:
+    /** Default constructor */
+    NEQuantizationLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEQuantizationLayerKernel(const NEQuantizationLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEQuantizationLayerKernel &operator=(const NEQuantizationLayerKernel &) = delete;
+    /** Default Move Constructor. */
+    NEQuantizationLayerKernel(NEQuantizationLayerKernel &&) = default;
+    /** Default move assignment operator. */
+    NEQuantizationLayerKernel &operator=(NEQuantizationLayerKernel &&) = default;
+    /** Default destructor */
+    ~NEQuantizationLayerKernel() = default;
+    /** Set the input, output, min and max.
+     *
+     * @param[in]  input  Source tensor. Data types supported: F32.
+     * @param[out] output Destination tensor. Data types supported: U8.
+     * @param[in]  min    Pointer to the minimum value of the input tensor.
+     * @param[in]  max    Pointer to the 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_NEQUANTIZATIONLAYERKERNEL_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
new file mode 100644
index 0000000000..ad0f68c58c
--- /dev/null
+++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
@@ -0,0 +1,67 @@
+/*
+ * 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_NEQUANTIZATIONLAYER_H__
+#define __ARM_COMPUTE_NEQUANTIZATIONLAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/NEON/kernels/NEMinMaxLocationKernel.h"
+#include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to simulate a quantization layer. This function calls the following NEON kernels:
+ *
+ * -# @ref NEMinMaxKernel
+ * -# @ref NEQuantizationLayerKernel
+ *
+ */
+class NEQuantizationLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    NEQuantizationLayer();
+    /** Set the input and output tensors.
+     *
+     * @param[in]  input  Source tensor. Data types supported: F32
+     * @param[out] output Destination tensor. Data types supported: F32
+     */
+    void configure(const ITensor *input, ITensor *output);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    NEQuantizationLayerKernel _quantize_kernel;
+    NEMinMaxKernel            _min_max_kernel;
+    float                     _min;
+    float                     _max;
+};
+}
+#endif /* __ARM_COMPUTE_NEQUANTIZATIONLAYER_H__ */
diff --git a/src/core/NEON/kernels/NEQuantizationLayerKernel.cpp b/src/core/NEON/kernels/NEQuantizationLayerKernel.cpp
new file mode 100644
index 0000000000..fbf7e1ba87
--- /dev/null
+++ b/src/core/NEON/kernels/NEQuantizationLayerKernel.cpp
@@ -0,0 +1,106 @@
+/*
+ * 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/NEQuantizationLayerKernel.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;
+
+NEQuantizationLayerKernel::NEQuantizationLayerKernel()
+    : _input(nullptr), _output(nullptr), _min(nullptr), _max(nullptr)
+{
+}
+
+void NEQuantizationLayerKernel::configure(const ITensor *input, ITensor *output, const float *min, const float *max)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+
+    // Output tensor auto initialization if not yet initialized
+    auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, DataType::U8, 0);
+
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
+    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 NEQuantizationLayerKernel::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 float32x4_t inv_range        = vdupq_n_f32(1.0f / (*_max - *_min));
+    const float32x4_t quantization_max = vdupq_n_f32(255.0f);
+    const float32x4_t quantization_mul = vdupq_n_f32(256.0f);
+
+    // Uniformly map values to range 8bit integers, i.e. [min, max] -> [0, 255]
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        float32x4x2_t val = vld2q_f32(reinterpret_cast<const float *>(input.ptr()));
+        // Map float values to range [0.0, 1.0]
+        val.val[0] = vsubq_f32(val.val[0], vmin);
+        val.val[1] = vsubq_f32(val.val[1], vmin);
+        val.val[0] = vmulq_f32(val.val[0], inv_range);
+        val.val[1] = vmulq_f32(val.val[1], inv_range);
+
+        // Quantize
+        val.val[0] = vmulq_f32(val.val[0], quantization_mul);
+        val.val[1] = vmulq_f32(val.val[1], quantization_mul);
+        val.val[0] = vminq_f32(val.val[0], quantization_max);
+        val.val[1] = vminq_f32(val.val[1], quantization_max);
+
+        const uint32x4_t   val_u32_low  = vcvtq_u32_f32(val.val[0]);
+        const uint32x4_t   val_u32_high = vcvtq_u32_f32(val.val[1]);
+        const uint16x4x2_t val_u16      = vzip_u16(vmovn_u32(val_u32_low), vmovn_u32(val_u32_high));
+
+        const uint8x8_t quantized = vmovn_u16(vcombine_u16(val_u16.val[0], val_u16.val[1]));
+        vst1_u8(reinterpret_cast<uint8_t *>(output.ptr()), quantized);
+    },
+    input, output);
+}
diff --git a/src/runtime/NEON/functions/NEQuantizationLayer.cpp b/src/runtime/NEON/functions/NEQuantizationLayer.cpp
new file mode 100644
index 0000000000..46b9d7d707
--- /dev/null
+++ b/src/runtime/NEON/functions/NEQuantizationLayer.cpp
@@ -0,0 +1,56 @@
+/*
+ * 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/NEQuantizationLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+using namespace arm_compute;
+
+NEQuantizationLayer::NEQuantizationLayer()
+    : _quantize_kernel(), _min_max_kernel(), _min(0.f), _max(0.f)
+{
+}
+
+void NEQuantizationLayer::configure(const ITensor *input, ITensor *output)
+{
+    // Configure min-max kernel
+    _min_max_kernel.configure(input, &_min, &_max);
+
+    // Configure quantize kernel
+    _quantize_kernel.configure(input, output, &_min, &_max);
+}
+
+void NEQuantizationLayer::run()
+{
+    // Reset min and max
+    _min_max_kernel.reset();
+
+    // Run min and max kernel
+    NEScheduler::get().schedule(&_min_max_kernel, Window::DimY);
+
+    // Run quantize kernel
+    NEScheduler::get().schedule(&_quantize_kernel, Window::DimY);
+}
diff --git a/tests/validation_new/CPP/QuantizationLayer.cpp b/tests/validation_new/CPP/QuantizationLayer.cpp
new file mode 100644
index 0000000000..d61e75a3a9
--- /dev/null
+++ b/tests/validation_new/CPP/QuantizationLayer.cpp
@@ -0,0 +1,85 @@
+/*
+ * 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 "QuantizationLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+void compute_min_max(const SimpleTensor<float> &src, float *min, float *max)
+{
+    // Set min and max to first pixel
+    float tmp_min = src[0];
+    float tmp_max = src[0];
+
+    // Look for min and max values
+    for(int i = 1; i < src.num_elements(); ++i)
+    {
+        if(src[i] < tmp_min)
+        {
+            tmp_min = src[i];
+        }
+        if(src[i] > tmp_max)
+        {
+            tmp_max = src[i];
+        }
+    }
+
+    *min = tmp_min;
+    *max = tmp_max;
+}
+
+template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
+SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src)
+{
+    // Create reference
+    SimpleTensor<uint8_t> dst{ src.shape(), DataType::U8 };
+
+    // Compute min and max of the tensor using Min-Max layer
+    float min = 0.f;
+    float max = 0.f;
+
+    compute_min_max(src, &min, &max);
+
+    const float range = max - min;
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        // map values to range [0.0, 1.0]
+        const float normalized = (src[i] - min) / range;
+        dst[i]                 = static_cast<uint8_t>(std::min(255.0f, normalized * 256.0f));
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/CPP/QuantizationLayer.h b/tests/validation_new/CPP/QuantizationLayer.h
new file mode 100644
index 0000000000..5fd2379259
--- /dev/null
+++ b/tests/validation_new/CPP/QuantizationLayer.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_QUANTIZATION_LAYER_H__
+#define __ARM_COMPUTE_TEST_QUANTIZATION_LAYER_H__
+
+#include "tests/validation_new/Helpers.h"
+#include "tests/validation_new/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type = 0>
+SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_QUANTIZATION_LAYER_H__ */
diff --git a/tests/validation_new/NEON/QuantizationLayer.cpp b/tests/validation_new/NEON/QuantizationLayer.cpp
new file mode 100644
index 0000000000..8b2acd6331
--- /dev/null
+++ b/tests/validation_new/NEON/QuantizationLayer.cpp
@@ -0,0 +1,98 @@
+/*
+ * 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/NEQuantizationLayer.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/QuantizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for quantization */
+constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1);
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(QuantizationLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    NEQuantizationLayer quant_layer;
+    quant_layer.configure(&src, &dst);
+
+    // 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 NEQuantizationLayerFixture = QuantizationValidationFixture<Tensor, Accessor, NEQuantizationLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEQuantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_u8);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_u8);
+}
+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/QuantizationLayerFixture.h b/tests/validation_new/fixtures/QuantizationLayerFixture.h
new file mode 100644
index 0000000000..469fd5f231
--- /dev/null
+++ b/tests/validation_new/fixtures/QuantizationLayerFixture.h
@@ -0,0 +1,120 @@
+/*
+ * 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_QUANTIZATION_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_QUANTIZATION_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/QuantizationLayer.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class QuantizationValidationFixedPointFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        _target    = compute_target(shape, data_type);
+        _reference = compute_reference(shape, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType data_type)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type);
+        TensorType dst = create_tensor<TensorType>(shape, DataType::U8);
+
+        // Create and configure function
+        FunctionType quantization_layer;
+        quantization_layer.configure(&src, &dst);
+
+        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
+        quantization_layer.run();
+
+        return dst;
+    }
+
+    SimpleTensor<uint8_t> compute_reference(const TensorShape &shape, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type };
+
+        // Fill reference
+        fill(src);
+
+        return reference::quantization_layer<T>(src);
+    }
+
+    TensorType            _target{};
+    SimpleTensor<uint8_t> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class QuantizationValidationFixture : public QuantizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        QuantizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type);
+    }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_QUANTIZATION_LAYER_FIXTURE */