diff options
Diffstat (limited to 'tests/validation/fixtures/RangeFixture.h')
| -rw-r--r-- | tests/validation/fixtures/RangeFixture.h | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/tests/validation/fixtures/RangeFixture.h b/tests/validation/fixtures/RangeFixture.h new file mode 100644 index 0000000000..c192eee14f --- /dev/null +++ b/tests/validation/fixtures/RangeFixture.h @@ -0,0 +1,140 @@ +/* + * 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_RANGE_FIXTURE +#define ARM_COMPUTE_TEST_RANGE_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/Range.h" + +#include <algorithm> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +size_t num_of_elements_in_range(float start, float end, float step) +{ + ARM_COMPUTE_ERROR_ON(step == 0); + return size_t(std::ceil((end - start) / step)); +} +} + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class RangeFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(const DataType data_type0, float start, float step, const QuantizationInfo qinfo0 = QuantizationInfo()) + { + _target = compute_target(data_type0, qinfo0, start, step); + _reference = compute_reference(data_type0, qinfo0, start, step); + } + +protected: + float get_random_end(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step) + { + std::uniform_real_distribution<> distribution(1, 100); + std::mt19937 gen(library->seed()); + float end = start; + switch(output_data_type) + { + case DataType::U8: + end += std::max((uint8_t)1, static_cast<uint8_t>(distribution(gen))) * step; + return utility::clamp<float, uint8_t>(end); + case DataType::U16: + end += std::max((uint16_t)1, static_cast<uint16_t>(distribution(gen))) * step; + return utility::clamp<float, uint16_t>(end); + case DataType::U32: + end += std::max((uint32_t)1, static_cast<uint32_t>(distribution(gen))) * step; + return utility::clamp<float, uint32_t>(end); + case DataType::S8: + end += std::max((int8_t)1, static_cast<int8_t>(distribution(gen))) * step; + return utility::clamp<float, int8_t>(end); + case DataType::S16: + end += std::max((int16_t)1, static_cast<int16_t>(distribution(gen))) * step; + return utility::clamp<float, int16_t>(end); + case DataType::S32: + end += std::max((int32_t)1, static_cast<int32_t>(distribution(gen))) * step; + return utility::clamp<float, int32_t>(end); + case DataType::F32: + end += std::max(1.0f, static_cast<float>(distribution(gen))) * step; + return end; + case DataType::F16: + end += std::max(half(1.0f), static_cast<half>(distribution(gen))) * step; + return utility::clamp<float, half>(end); + case DataType::QASYMM8: + return utility::clamp<float, uint8_t>(end + (float)distribution(gen) * step, qinfo_out.dequantize(0), qinfo_out.dequantize(std::numeric_limits<uint8_t>::max())); + default: + return 0; + } + } + + TensorType compute_target(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step) + { + float end = get_random_end(output_data_type, qinfo_out, start, step); + size_t num_of_elements = num_of_elements_in_range(start, end, step); + // Create tensor + TensorType dst = create_tensor<TensorType>(TensorShape(num_of_elements), output_data_type, 1, qinfo_out); + // Create and configure function + FunctionType range_func; + range_func.configure(&dst, start, end, step); + + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + // Allocate tensors + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Compute function + range_func.run(); + return dst; + } + + SimpleTensor<T> compute_reference(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step) + { + // Create tensor + const float end = get_random_end(output_data_type, qinfo_out, start, step); + size_t num_of_elements = num_of_elements_in_range(start, end, step); + SimpleTensor<T> ref_dst{ TensorShape(num_of_elements ? num_of_elements : 1), output_data_type, 1, qinfo_out }; + return reference::range<T>(ref_dst, start, num_of_elements, step); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_RANGE_FIXTURE */ |