476 lines
23 KiB
C++
476 lines
23 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Helpers.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/functions/CLScale.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ScaleValidationDataset.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/validation/Helpers.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ScaleFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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using datasets::ScaleShapesBaseDataSet;
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using datasets::ScaleInterpolationPolicySet;
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using datasets::ScaleDataLayouts;
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using datasets::ScaleSamplingPolicySet;
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using datasets::ScaleAlignCornersSamplingPolicySet;
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/** We consider vector size in byte 16 since the maximum size of
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* a vector used by @ref CLScaleKernel is currently 16-byte (float4).
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*/
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constexpr uint32_t vector_byte = 16;
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template <typename T>
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constexpr uint32_t num_elements_per_vector()
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{
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return vector_byte / sizeof(T);
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}
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/** CNN data types */
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const auto ScaleDataTypes = framework::dataset::make("DataType",
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{
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DataType::U8,
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DataType::S16,
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DataType::F16,
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DataType::F32,
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});
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/** Quantization information data set */
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const auto QuantizationInfoSet = framework::dataset::make("QuantizationInfo",
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{
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QuantizationInfo(0.5f, -1),
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});
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/** Tolerance */
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constexpr AbsoluteTolerance<uint8_t> tolerance_q8(1);
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constexpr AbsoluteTolerance<int8_t> tolerance_qs8(1);
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constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
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constexpr float tolerance_f32_absolute(0.001f);
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RelativeTolerance<float> tolerance_f32(0.05);
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RelativeTolerance<half> tolerance_f16(half(0.1));
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constexpr float tolerance_num_f32(0.01f);
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(Scale)
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TEST_SUITE(Validate)
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const auto default_input_shape = TensorShape{ 2, 3, 3, 2 };
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const auto default_output_shape = TensorShape{ 4, 6, 3, 2 };
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constexpr auto default_data_type = DataType::U8;
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constexpr auto default_data_layout = DataLayout::NHWC;
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constexpr auto default_interpolation_policy = InterpolationPolicy::NEAREST_NEIGHBOR;
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constexpr auto default_border_mode = BorderMode::UNDEFINED;
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constexpr bool default_use_padding = false;
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TEST_CASE(NullPtr, framework::DatasetMode::ALL)
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{
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const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
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const auto output = TensorInfo{ default_output_shape, 1, default_data_type, default_data_layout };
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Status result{};
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// nullptr is given as input
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result = CLScale::validate(nullptr, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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// nullptr is given as output
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result = CLScale::validate(&input, nullptr, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_CASE(SupportDataType, framework::DatasetMode::ALL)
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{
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const std::map<DataType, bool> supported_data_types =
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{
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{ DataType::U8, true },
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{ DataType::S8, false },
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{ DataType::QSYMM8, false },
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{ DataType::QASYMM8, true },
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{ DataType::QASYMM8_SIGNED, true },
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{ DataType::QSYMM8_PER_CHANNEL, false },
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{ DataType::U16, false },
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{ DataType::S16, true },
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{ DataType::QSYMM16, false },
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{ DataType::QASYMM16, false },
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{ DataType::U32, false },
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{ DataType::S32, false },
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{ DataType::U64, false },
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{ DataType::S64, false },
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{ DataType::BFLOAT16, false },
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{ DataType::F16, true },
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{ DataType::F32, true },
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{ DataType::F64, false },
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{ DataType::SIZET, false },
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};
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Status result{};
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for(auto &kv : supported_data_types)
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{
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const auto input = TensorInfo{ default_input_shape, 1, kv.first, default_data_layout };
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const auto output = TensorInfo{ default_output_shape, 1, kv.first, default_data_layout };
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result = CLScale::validate(&input, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == kv.second, framework::LogLevel::ERRORS);
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}
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}
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TEST_CASE(SameInputOutput, framework::DatasetMode::ALL)
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{
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const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
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Status result{};
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result = CLScale::validate(&input, &input, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_CASE(MissmatchingDataType, framework::DatasetMode::ALL)
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{
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constexpr auto non_default_data_type = DataType::F32;
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const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
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const auto output = TensorInfo{ default_output_shape, 1, non_default_data_type, default_data_layout };
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Status result{};
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result = CLScale::validate(&input, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_CASE(AlignedCornerNotSupported, framework::DatasetMode::ALL)
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{
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// Aligned corners require sampling policy to be TOP_LEFT.
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constexpr auto interpolation_policy = InterpolationPolicy::BILINEAR;
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constexpr bool align_corners = true;
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constexpr auto sampling_policy = SamplingPolicy::CENTER;
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const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
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const auto output = TensorInfo{ default_output_shape, 1, default_data_type, default_data_layout };
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Status result{};
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result = CLScale::validate(&input, &output, ScaleKernelInfo{ interpolation_policy, default_border_mode, PixelValue(), sampling_policy, default_use_padding, align_corners });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_CASE(WindowShrink, framework::DatasetMode::ALL)
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{
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const auto input = TensorInfo{ TensorShape(37U, 37U, 2U), 1, DataType::F32 };
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const auto output = TensorInfo{ TensorShape(39U, 55U, 2U), 1, DataType::F32 };
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Status result{};
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result = CLScale::validate(&input.clone()->set_is_resizable(false), &output.clone()->set_is_resizable(false), ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_CASE(IncorrectScaleFactor, framework::DatasetMode::ALL)
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{
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const auto input = TensorInfo{ TensorShape(28U, 33U, 2U), 1, DataType::F32 };
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const auto output = TensorInfo{ TensorShape(26U, 21U, 2U), 1, DataType::F32 };
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constexpr auto interpolation_policy = InterpolationPolicy::AREA;
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Status result{};
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result = CLScale::validate(&input, &output, ScaleKernelInfo{ interpolation_policy, default_border_mode });
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ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
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}
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TEST_SUITE_END() // Validate
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template <typename T>
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using CLScaleFixture = ScaleValidationFixture<CLTensor, CLAccessor, CLScale, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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const auto f32_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<float>())), framework::dataset::make("DataType", DataType::F32));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<float>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f32_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<float>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f32_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
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}
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const auto f32_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<float>())), framework::dataset::make("DataType", DataType::F32));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f32_nightly_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f32_nightly_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE(FP16)
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const auto f16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<half>())), framework::dataset::make("DataType", DataType::F16));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<half>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f16_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<half>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f16_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
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}
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const auto f16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<half>())), framework::dataset::make("DataType", DataType::F16));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f16_nightly_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f16_nightly_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE_END() // Float
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TEST_SUITE(Integer)
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TEST_SUITE(U8)
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const auto u8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::U8));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(u8_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(u8_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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const auto u8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::U8));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(u8_nightly_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(u8_nightly_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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const auto s16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int16_t>())), framework::dataset::make("DataType", DataType::S16));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(s16_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(s16_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
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}
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const auto s16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int16_t>())), framework::dataset::make("DataType", DataType::S16));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(s16_nightly_shape, ScaleSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(s16_nightly_shape, ScaleAlignCornersSamplingPolicySet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Integer
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template <typename T>
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using CLScaleQuantizedFixture = ScaleValidationQuantizedFixture<CLTensor, CLAccessor, CLScale, T>;
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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const auto qasymm8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::QASYMM8));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_shape, ScaleAlignCornersSamplingPolicySet,
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QuantizationInfoSet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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const auto qasymm8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::QASYMM8));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_nightly_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_nightly_shape, ScaleAlignCornersSamplingPolicySet,
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QuantizationInfoSet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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const auto qasymm8_signed_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int8_t>())), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
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FIXTURE_DATA_TEST_CASE(Run, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
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{
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//Create valid region
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TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
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}
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FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_shape, ScaleAlignCornersSamplingPolicySet,
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|
QuantizationInfoSet))
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|
{
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//Create valid region
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|
TensorInfo src_info(_shape, 1, _data_type);
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const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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|
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// Validate output
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validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
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}
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const auto qasymm8_signed_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int8_t>())), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
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FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_nightly_shape, ScaleSamplingPolicySet,
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|
QuantizationInfoSet))
|
|
{
|
|
//Create valid region
|
|
TensorInfo src_info(_shape, 1, _data_type);
|
|
const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
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|
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
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}
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FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_nightly_shape,
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|
ScaleAlignCornersSamplingPolicySet,
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|
QuantizationInfoSet))
|
|
{
|
|
//Create valid region
|
|
TensorInfo src_info(_shape, 1, _data_type);
|
|
const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
|
|
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
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|
}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // Quantized
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TEST_SUITE_END() // Scale
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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