COMPMID-415: Move SoftmaxLayer to new validation

Change-Id: I68bb359021256e67892e4fc00d436f9027a3bd07
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80942
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

5 files changed, 645 insertions, 0 deletions

diff --git a/tests/validation_new/CL/SoftmaxLayer.cpp b/tests/validation_new/CL/SoftmaxLayer.cpp
new file mode 100644
index 0000000000..3edc7b2d6e
--- /dev/null
+++ b/tests/validation_new/CL/SoftmaxLayer.cpp
@@ -0,0 +1,168 @@
+/*
+ * 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/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
+#include "framework/Asserts.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets_new/ShapeDatasets.h"
+#include "tests/validation_new/Validation.h"
+#include "tests/validation_new/fixtures/SoftmaxLayerFixture.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+constexpr float tolerance_f16 = 0.002f;
+constexpr float tolerance_f32 = 0.000001f;
+/** Tolerance for fixed point operations */
+constexpr int8_t tolerance_fixed_point = 2;
+
+/** CNN data types */
+const auto CNNDataTypes = framework::dataset::make("DataType",
+{
+    DataType::F16,
+    DataType::F32,
+    DataType::QS8,
+    DataType::QS16,
+});
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(SoftmaxLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), shape, data_type)
+{
+    // Set fixed point position data type allowed
+    const int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0;
+
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position);
+    CLTensor dst = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLSoftmaxLayer smx_layer;
+    smx_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(), 16).required_padding();
+    validate(src.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+template <typename T>
+using CLSoftmaxLayerFixture = SoftmaxValidationFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+template <typename T>
+using CLSoftmaxLayerFixedPointFixture = SoftmaxValidationFixedPointFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5
+FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                     DataType::QS8)),
+                                                                                                                     framework::dataset::make("FractionalBits", 1, 6)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                   DataType::QS8)),
+                                                                                                                   framework::dataset::make("FractionalBits", 1, 6)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14
+FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                      DataType::QS16)),
+                                                                                                                      framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                    DataType::QS16)),
+                                                                                                                    framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fixed_point);
+}
+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/CPP/SoftmaxLayer.cpp b/tests/validation_new/CPP/SoftmaxLayer.cpp
new file mode 100644
index 0000000000..8c2cda8296
--- /dev/null
+++ b/tests/validation_new/CPP/SoftmaxLayer.cpp
@@ -0,0 +1,122 @@
+/*
+ * 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 "SoftmaxLayer.h"
+
+#include "tests/validation_new/FixedPoint.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
+SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src)
+{
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() };
+
+    // Compute reference
+    const int cols       = src.shape()[0];
+    const int upper_dims = src.num_elements() / cols;
+
+    for(int r = 0; r < upper_dims; ++r)
+    {
+        const T *src_row_ptr = src.data() + r * cols;
+        T       *dst_row_ptr = dst.data() + r * cols;
+
+        // Find max
+        const T max = *std::max_element(src_row_ptr, src_row_ptr + cols);
+
+        // Regularize
+        T sum(0.f);
+        std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&sum, max](T val)
+        {
+            const T res(std::exp(val - max));
+            sum += res;
+            return res;
+        });
+
+        // Normalize
+        std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [sum](T val)
+        {
+            return val / sum;
+        });
+    }
+
+    return dst;
+}
+
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
+SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src)
+{
+    using namespace fixed_point_arithmetic;
+
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() };
+
+    // Compute reference
+    const int cols       = src.shape()[0];
+    const int upper_dims = src.num_elements() / cols;
+
+    for(int r = 0; r < upper_dims; ++r)
+    {
+        const T *src_row_ptr = src.data() + r * cols;
+        T       *dst_row_ptr = dst.data() + r * cols;
+
+        // Find max
+        const fixed_point<T> max(*std::max_element(src_row_ptr, src_row_ptr + cols), src.fixed_point_position(), true);
+
+        // Regularize
+        using promoted_type = fixed_point_arithmetic::traits::promote_t<T>;
+        fixed_point<promoted_type> sum(0, src.fixed_point_position(), true);
+        std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&](T val)
+        {
+            const fixed_point<T> res = exp(fixed_point<T>(val, src.fixed_point_position(), true) - max);
+            sum                      = add(sum, fixed_point<promoted_type>(res.raw(), src.fixed_point_position(), true));
+            return res.raw();
+        });
+
+        // Normalize
+        fixed_point<T> saturated_sum(sum);
+        std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [&](T val)
+        {
+            return div(fixed_point<T>(val, src.fixed_point_position(), true), saturated_sum).raw();
+        });
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> softmax_layer(const SimpleTensor<float> &src);
+template SimpleTensor<half_float::half> softmax_layer(const SimpleTensor<half_float::half> &src);
+template SimpleTensor<qint8_t> softmax_layer(const SimpleTensor<qint8_t> &src);
+template SimpleTensor<qint16_t> softmax_layer(const SimpleTensor<qint16_t> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/CPP/SoftmaxLayer.h b/tests/validation_new/CPP/SoftmaxLayer.h
new file mode 100644
index 0000000000..28a532ee96
--- /dev/null
+++ b/tests/validation_new/CPP/SoftmaxLayer.h
@@ -0,0 +1,47 @@
+/*
+ * 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_SOFTMAX_LAYER_H__
+#define __ARM_COMPUTE_TEST_SOFTMAX_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<T> softmax_layer(const SimpleTensor<T> &src);
+
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0>
+SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_SOFTMAX_LAYER_H__ */
diff --git a/tests/validation_new/NEON/SoftmaxLayer.cpp b/tests/validation_new/NEON/SoftmaxLayer.cpp
new file mode 100644
index 0000000000..ce5b8b8359
--- /dev/null
+++ b/tests/validation_new/NEON/SoftmaxLayer.cpp
@@ -0,0 +1,175 @@
+/*
+ * 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/NESoftmaxLayer.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/SoftmaxLayerFixture.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+constexpr float tolerance_f32 = 0.000001f;
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const float tolerance_f16 = 0.0001f;
+#endif /* ARM_COMPUTE_ENABLE_FP16*/
+/** Tolerance for fixed point operations */
+constexpr int8_t tolerance_fixed_point = 2;
+
+/** CNN data types */
+const auto CNNDataTypes = framework::dataset::make("DataType",
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+    DataType::F16,
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+    DataType::F32,
+    DataType::QS8,
+    DataType::QS16,
+});
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(SoftmaxLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), shape, data_type)
+{
+    // Set fixed point position data type allowed
+    const int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0;
+
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type, 1, fixed_point_position);
+    Tensor dst = create_tensor<Tensor>(shape, data_type, 1, fixed_point_position);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    NESoftmaxLayer smx_layer;
+    smx_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 int         step    = 16 / data_size_from_type(data_type);
+    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
+    validate(src.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+template <typename T>
+using NESoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NESoftmaxLayer, T>;
+
+TEST_SUITE(Float)
+#ifdef ARM_COMPUTE_ENABLE_FP16
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END()
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+template <typename T>
+using NESoftmaxLayerFixedPointFixture = SoftmaxValidationFixedPointFixture<Tensor, Accessor, NESoftmaxLayer, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5
+FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                     DataType::QS8)),
+                                                                                                                     framework::dataset::make("FractionalBits", 1, 6)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fixed_point);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                   DataType::QS8)),
+                                                                                                                   framework::dataset::make("FractionalBits", 1, 6)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fixed_point);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14
+FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                      DataType::QS16)),
+                                                                                                                      framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fixed_point);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                    DataType::QS16)),
+                                                                                                                    framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fixed_point);
+}
+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/SoftmaxLayerFixture.h b/tests/validation_new/fixtures/SoftmaxLayerFixture.h
new file mode 100644
index 0000000000..c6f3d2216f
--- /dev/null
+++ b/tests/validation_new/fixtures/SoftmaxLayerFixture.h
@@ -0,0 +1,133 @@
+/*
+ * 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_SOFTMAX_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_SOFTMAX_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/SoftmaxLayer.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SoftmaxValidationFixedPointFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, int fractional_bits)
+    {
+        _fractional_bits = fractional_bits;
+
+        _target    = compute_target(shape, data_type, fractional_bits);
+        _reference = compute_reference(shape, data_type, fractional_bits);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        if(_fractional_bits == 0)
+        {
+            std::uniform_real_distribution<> distribution(-1000.f, 1000.f);
+            library->fill(tensor, distribution, 0);
+        }
+        else
+        {
+            const int                       one_fixed = 1 << _fractional_bits;
+            std::uniform_int_distribution<> distribution(-one_fixed, one_fixed);
+            library->fill(tensor, distribution, 0);
+        }
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType data_type, int fixed_point_position = 0)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+        TensorType dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        FunctionType smx_layer;
+        smx_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
+        smx_layer.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, int fixed_point_position = 0)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type, 1, fixed_point_position };
+
+        // Fill reference
+        fill(src);
+
+        return reference::softmax_layer<T>(src);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+    int             _fractional_bits{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SoftmaxValidationFixture : public SoftmaxValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        SoftmaxValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, 0);
+    }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SOFTMAX_LAYER_FIXTURE */