From 73023027d6250daaa1df49fdeb1d21e59a0bf7f5 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Tue, 4 Sep 2018 14:55:55 +0100 Subject: COMPMID-1539 Implement YOLOLayer on CL Change-Id: I332c0703e1399fca0c5b724529b54a28f49c88da Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146842 Tested-by: Jenkins Reviewed-by: Georgios Pinitas --- tests/datasets/ActivationFunctionsDataset.h | 17 ++- tests/datasets/ShapeDatasets.h | 32 +++++ tests/validation/CL/ActivationLayer.cpp | 9 +- tests/validation/CL/YOLOLayer.cpp | 127 +++++++++++++++++++ tests/validation/fixtures/YOLOLayerFixture.h | 162 +++++++++++++++++++++++++ tests/validation/reference/ActivationLayer.cpp | 41 +------ tests/validation/reference/ActivationLayer.h | 50 +++++++- tests/validation/reference/YOLOLayer.cpp | 80 ++++++++++++ tests/validation/reference/YOLOLayer.h | 47 +++++++ 9 files changed, 515 insertions(+), 50 deletions(-) create mode 100644 tests/validation/CL/YOLOLayer.cpp create mode 100644 tests/validation/fixtures/YOLOLayerFixture.h create mode 100644 tests/validation/reference/YOLOLayer.cpp create mode 100644 tests/validation/reference/YOLOLayer.h (limited to 'tests') diff --git a/tests/datasets/ActivationFunctionsDataset.h b/tests/datasets/ActivationFunctionsDataset.h index 31323dc8be..147c5ae51b 100644 --- a/tests/datasets/ActivationFunctionsDataset.h +++ b/tests/datasets/ActivationFunctionsDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -56,6 +56,21 @@ public: { } }; + +class ActivationFunctionsQuantized final : public framework::dataset::ContainerDataset> +{ +public: + ActivationFunctionsQuantized() + : ContainerDataset("ActivationFunctionQuantized", + { + ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, + ActivationLayerInfo::ActivationFunction::RELU, + ActivationLayerInfo::ActivationFunction::LOGISTIC, + ActivationLayerInfo::ActivationFunction::BOUNDED_RELU + }) + { + } +}; } // namespace datasets } // namespace test } // namespace arm_compute diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h index c7955bc8c5..551e7ffa8c 100644 --- a/tests/datasets/ShapeDatasets.h +++ b/tests/datasets/ShapeDatasets.h @@ -846,6 +846,38 @@ public: { } }; + +/** Data set containing small YOLO tensor shapes. */ +class SmallYOLOShapes final : public ShapeDataset +{ +public: + SmallYOLOShapes() + : ShapeDataset("Shape", + { + // Batch size 1 + TensorShape{ 11U, 11U, 270U }, + TensorShape{ 27U, 13U, 90U }, + TensorShape{ 128U, 64U, 45U, 2U }, + TensorShape{ 11U, 11U, 45U, 3U } + }) + { + } +}; + +/** Data set containing large YOLO tensor shapes. */ +class LargeYOLOShapes final : public ShapeDataset +{ +public: + LargeYOLOShapes() + : ShapeDataset("Shape", + { + TensorShape{ 24U, 23U, 270U }, + TensorShape{ 51U, 63U, 90U, 2U }, + TensorShape{ 76U, 91U, 45U, 3U } + }) + { + } +}; } // namespace datasets } // namespace test } // namespace arm_compute diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp index d91f7082b4..8a6d5ad88a 100644 --- a/tests/validation/CL/ActivationLayer.cpp +++ b/tests/validation/CL/ActivationLayer.cpp @@ -202,14 +202,7 @@ TEST_SUITE_END() template using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture; -/** Input data sets. */ -const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationFunction", { ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, - ActivationLayerInfo::ActivationFunction::RELU, - ActivationLayerInfo::ActivationFunction::LOGISTIC, - ActivationLayerInfo::ActivationFunction::BOUNDED_RELU - }); - -const auto QuantizedActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), QuantizedActivationFunctionsDataset), +const auto QuantizedActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctionsQuantized()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); TEST_SUITE(Quantized) diff --git a/tests/validation/CL/YOLOLayer.cpp b/tests/validation/CL/YOLOLayer.cpp new file mode 100644 index 0000000000..d8e6e54246 --- /dev/null +++ b/tests/validation/CL/YOLOLayer.cpp @@ -0,0 +1,127 @@ +/* + * Copyright (c) 2018 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/CLYOLOLayer.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ActivationFunctionsDataset.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/YOLOLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Define tolerance of the yolo layer. + * + * @param[in] activation The activation function used. + * @param[in] data_type Data type. + * + * @return Tolerance depending on the activation function. + */ +AbsoluteTolerance tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type) +{ + constexpr float epsilon = 1e-6f; + + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LINEAR: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.2f : epsilon); + case ActivationLayerInfo::ActivationFunction::SQUARE: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.1f : epsilon); + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.001f : epsilon); + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.00001f : epsilon); + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::SQRT: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.01f : 0.00001f); + case ActivationLayerInfo::ActivationFunction::TANH: + return AbsoluteTolerance(data_type == DataType::F16 ? 0.001f : 0.00001f); + default: + return AbsoluteTolerance(epsilon); + } +} + +/** Floating point data sets. */ +const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), + framework::dataset::make("AlphaBeta", { 0.5f, 1.f })), + framework::dataset::make("Classes", 40)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(YOLOLayer) + +template +using CLYOLOLayerFixture = YOLOValidationFixture; + +TEST_SUITE(Float) +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() // FP32 + +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() // FP16 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // YOLOLayer +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/YOLOLayerFixture.h b/tests/validation/fixtures/YOLOLayerFixture.h new file mode 100644 index 0000000000..a3842e1e8a --- /dev/null +++ b/tests/validation/fixtures/YOLOLayerFixture.h @@ -0,0 +1,162 @@ +/* + * Copyright (c) 2018 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_YOLO_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_YOLO_LAYER_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/YOLOLayer.h" + +#include + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template +class YOLOValidationGenericFixture : public framework::Fixture +{ +public: + template + void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type, + QuantizationInfo quantization_info) + { + _data_type = data_type; + _function = function; + + ActivationLayerInfo info(function, alpha_beta, alpha_beta); + + _target = compute_target(shape, in_place, info, num_classes, data_layout, data_type, quantization_info); + _reference = compute_reference(shape, info, num_classes, data_type, quantization_info); + } + +protected: + template + void fill(U &&tensor) + { + float min_bound = 0; + float max_bound = 0; + std::tie(min_bound, max_bound) = get_activation_layer_test_bounds(_function, _data_type); + std::uniform_real_distribution<> distribution(min_bound, max_bound); + library->fill(tensor, distribution, 0); + } + + TensorType compute_target(TensorShape shape, bool in_place, const ActivationLayerInfo &info, int32_t num_classes, DataLayout data_layout, DataType data_type, QuantizationInfo quantization_info) + { + if(data_layout == DataLayout::NHWC) + { + permute(shape, PermutationVector(2U, 0U, 1U)); + } + + // Create tensors + TensorType src = create_tensor(shape, data_type, 1, quantization_info, data_layout); + TensorType dst = create_tensor(shape, data_type, 1, quantization_info, data_layout); + + // Create and configure function + FunctionType yolo_layer; + + TensorType *dst_ptr = in_place ? &src : &dst; + + yolo_layer.configure(&src, dst_ptr, info, num_classes); + + 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(); + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + + if(!in_place) + { + dst.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + yolo_layer.run(); + + if(in_place) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor compute_reference(const TensorShape &shape, const ActivationLayerInfo &info, int32_t num_classes, DataType data_type, QuantizationInfo quantization_info) + { + // Create reference + SimpleTensor src{ shape, data_type, 1, quantization_info }; + + // Fill reference + fill(src); + + return reference::yolo_layer(src, info, num_classes); + } + + TensorType _target{}; + SimpleTensor _reference{}; + DataType _data_type{}; + ActivationLayerInfo::ActivationFunction _function{}; +}; + +template +class YOLOValidationFixture : public YOLOValidationGenericFixture +{ +public: + template + void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type) + { + YOLOValidationGenericFixture::setup(shape, in_place, function, alpha_beta, num_classes, data_layout, data_type, QuantizationInfo()); + } +}; + +template +class YOLOValidationQuantizedFixture : public YOLOValidationGenericFixture +{ +public: + template + void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type, + QuantizationInfo quantization_info) + { + YOLOValidationGenericFixture::setup(shape, in_place, function, alpha_beta, num_classes, data_layout, data_type, quantization_info); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif // ARM_COMPUTE_TEST_YOLO_LAYER_FIXTURE diff --git a/tests/validation/reference/ActivationLayer.cpp b/tests/validation/reference/ActivationLayer.cpp index 9455effd72..9750ea95a6 100644 --- a/tests/validation/reference/ActivationLayer.cpp +++ b/tests/validation/reference/ActivationLayer.cpp @@ -46,46 +46,7 @@ SimpleTensor activation_layer(const SimpleTensor &src, ActivationLayerInfo for(int i = 0; i < src.num_elements(); ++i) { - T x = src[i]; - - switch(info.activation()) - { - case ActivationLayerInfo::ActivationFunction::ABS: - dst[i] = std::abs(x); - break; - case ActivationLayerInfo::ActivationFunction::LINEAR: - dst[i] = a * x + b; - break; - case ActivationLayerInfo::ActivationFunction::LOGISTIC: - dst[i] = static_cast(1) / (static_cast(1) + std::exp(-x)); - break; - case ActivationLayerInfo::ActivationFunction::RELU: - dst[i] = std::max(static_cast(0), x); - break; - case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: - dst[i] = std::min(a, std::max(static_cast(0), x)); - break; - case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: - dst[i] = std::min(a, std::max(b, x)); - break; - case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: - dst[i] = (x > 0) ? x : a * x; - break; - case ActivationLayerInfo::ActivationFunction::SOFT_RELU: - dst[i] = std::log(static_cast(1) + std::exp(x)); - break; - case ActivationLayerInfo::ActivationFunction::SQRT: - dst[i] = std::sqrt(x); - break; - case ActivationLayerInfo::ActivationFunction::SQUARE: - dst[i] = x * x; - break; - case ActivationLayerInfo::ActivationFunction::TANH: - dst[i] = a * std::tanh(b * x); - break; - default: - ARM_COMPUTE_ERROR("Unsupported activation function"); - } + dst[i] = activate_float(src[i], a, b, info.activation()); } return dst; diff --git a/tests/validation/reference/ActivationLayer.h b/tests/validation/reference/ActivationLayer.h index 09f602ffa1..c752e74733 100644 --- a/tests/validation/reference/ActivationLayer.h +++ b/tests/validation/reference/ActivationLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -35,6 +35,54 @@ namespace validation { namespace reference { +template +inline T activate_float(T x, T a, T b, ActivationLayerInfo::ActivationFunction activation) +{ + T ret; + + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::ABS: + ret = std::abs(x); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + ret = a * x + b; + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + ret = static_cast(1) / (static_cast(1) + std::exp(-x)); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + ret = std::max(static_cast(0), x); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + ret = std::min(a, std::max(static_cast(0), x)); + break; + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + ret = std::min(a, std::max(b, x)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + ret = (x > 0) ? x : a * x; + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + ret = std::log(static_cast(1) + std::exp(x)); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + ret = std::sqrt(x); + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + ret = x * x; + break; + case ActivationLayerInfo::ActivationFunction::TANH: + ret = a * std::tanh(b * x); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + break; + } + + return ret; +} + template ::value, int>::type = 0> SimpleTensor activation_layer(const SimpleTensor &src, ActivationLayerInfo info); diff --git a/tests/validation/reference/YOLOLayer.cpp b/tests/validation/reference/YOLOLayer.cpp new file mode 100644 index 0000000000..a12f411680 --- /dev/null +++ b/tests/validation/reference/YOLOLayer.cpp @@ -0,0 +1,80 @@ +/* + * Copyright (c) 2018 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 "YOLOLayer.h" + +#include "ActivationLayer.h" + +#include "arm_compute/core/Types.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template ::value, int>::type> +SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes) +{ + // Create reference + SimpleTensor dst{ src.shape(), src.data_type() }; + + // Compute reference + const T a(info.a()); + const T b(info.b()); + + for(int i = 0; i < src.num_elements(); ++i) + { + const size_t z = index2coord(dst.shape(), i).z() % (num_classes + 5); + + if(z != 2 && z != 3) + { + dst[i] = activate_float(src[i], a, b, info.activation()); + } + else + { + dst[i] = src[i]; + } + } + + return dst; +} + +template <> +SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes) +{ + SimpleTensor src_tmp = convert_from_asymmetric(src); + SimpleTensor dst_tmp = yolo_layer(src_tmp, info, num_classes); + SimpleTensor dst = convert_to_asymmetric(dst_tmp, src.quantization_info()); + return dst; +} + +template SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes); +template SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/reference/YOLOLayer.h b/tests/validation/reference/YOLOLayer.h new file mode 100644 index 0000000000..659f1dd2d9 --- /dev/null +++ b/tests/validation/reference/YOLOLayer.h @@ -0,0 +1,47 @@ +/* + * Copyright (c) 2018 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_YOLO_LAYER_H__ +#define __ARM_COMPUTE_TEST_YOLO_LAYER_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template ::value, int>::type = 0> +SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes); + +template ::value, int>::type = 0> +SimpleTensor yolo_layer(const SimpleTensor &src, const ActivationLayerInfo &info, int32_t num_classes); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_YOLO_LAYER_H__ */ -- cgit v1.2.1