| /* |
| * Copyright (c) 2022-2024 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/dynamic_fusion/sketch/gpu/operators/GpuResize.h" |
| |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/datasets/ScaleValidationDataset.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h" |
| #include "tests/validation/Validation.h" |
| |
| using namespace arm_compute::experimental::dynamic_fusion; |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| using datasets::ScaleAlignCornersSamplingPolicySet; |
| using datasets::ScaleInterpolationPolicySet; |
| using datasets::ScaleSamplingPolicySet; |
| using datasets::ScaleShapesBaseDataSet; |
| |
| /** We consider vector size in byte 16 since the maximum size of |
| * a vector used by @ref CLScaleKernel is currently 16-byte (float4). |
| */ |
| constexpr uint32_t vector_byte = 16; |
| |
| template <typename T> |
| constexpr uint32_t num_elements_per_vector() |
| { |
| return vector_byte / sizeof(T); |
| } |
| |
| /** Quantization information data set */ |
| const auto QuantizationInfoSet = framework::dataset::make("QuantizationInfo", |
| { |
| QuantizationInfo(0.5f, -1), |
| }); |
| |
| /** Tolerance */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_q8(1); |
| constexpr AbsoluteTolerance<int8_t> tolerance_qs8(1); |
| constexpr AbsoluteTolerance<int16_t> tolerance_s16(1); |
| constexpr float tolerance_f32_absolute(0.001f); |
| |
| RelativeTolerance<float> tolerance_f32(0.05); |
| constexpr float abs_tolerance_f16(0.1f); |
| RelativeTolerance<half> tolerance_f16(half(0.1)); |
| |
| constexpr float tolerance_num_f32(0.01f); |
| |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(DYNAMIC_FUSION) |
| TEST_SUITE(RESIZE) |
| |
| TEST_SUITE(Validate) |
| |
| const auto default_input_shape = TensorShape{2, 3, 3, 2}; |
| const auto default_output_shape = TensorShape{4, 6, 3, 2}; |
| |
| constexpr auto default_data_type = DataType::U8; |
| constexpr auto default_data_layout = DataLayout::NHWC; |
| |
| TEST_CASE(NullPtr, framework::DatasetMode::ALL) |
| { |
| const TensorInfo input_info = TensorInfo{default_input_shape, 1, default_data_type, default_data_layout}; |
| const TensorInfo output_info = TensorInfo{default_output_shape, 1, default_data_type, default_data_layout}; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| // nullptr is given as input |
| Status status = GpuResize::validate_op(sketch, nullptr, ResizeAttributes()); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| TEST_CASE(SupportDataType, framework::DatasetMode::ALL) |
| { |
| const std::map<DataType, bool> supported_data_types = { |
| {DataType::U8, true}, |
| {DataType::S8, false}, |
| {DataType::QSYMM8, false}, |
| {DataType::QASYMM8, true}, |
| {DataType::QASYMM8_SIGNED, true}, |
| {DataType::QSYMM8_PER_CHANNEL, false}, |
| {DataType::U16, false}, |
| {DataType::S16, true}, |
| {DataType::QSYMM16, false}, |
| {DataType::QASYMM16, false}, |
| {DataType::U32, false}, |
| {DataType::S32, false}, |
| {DataType::U64, false}, |
| {DataType::S64, false}, |
| {DataType::BFLOAT16, false}, |
| {DataType::F16, true}, |
| {DataType::F32, true}, |
| {DataType::F64, false}, |
| {DataType::SIZET, false}, |
| }; |
| |
| for (auto &kv : supported_data_types) |
| { |
| const TensorInfo input_info = TensorInfo{default_input_shape, 1, kv.first, default_data_layout}; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| const ITensorInfo *sketch_input_info = context.create_tensor_info(input_info); |
| |
| ResizeAttributes attributes; |
| attributes.output_width(default_output_shape[0]); // shape is not important unless it's empty |
| attributes.output_height(default_output_shape[1]); |
| |
| Status status = GpuResize::validate_op(sketch, sketch_input_info, attributes); |
| ARM_COMPUTE_EXPECT(bool(status) == kv.second, framework::LogLevel::ERRORS); |
| } |
| } |
| |
| TEST_CASE(MismatchingDataType, framework::DatasetMode::ALL) |
| { |
| constexpr DataType non_default_data_type = DataType::F32; |
| |
| const TensorInfo input_info = TensorInfo{default_input_shape, 1, default_data_type, default_data_layout}; |
| const TensorInfo output_info = TensorInfo{default_output_shape, 1, non_default_data_type, default_data_layout}; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| const ITensorInfo *sketch_input_info = context.create_tensor_info(input_info); |
| |
| Status status = GpuResize::validate_op(sketch, sketch_input_info, ResizeAttributes()); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| TEST_CASE(AlignedCornerNotSupported, framework::DatasetMode::ALL) |
| { |
| // Aligned corners require sampling policy to be TOP_LEFT. |
| constexpr InterpolationPolicy interpolation_policy = InterpolationPolicy::BILINEAR; |
| constexpr bool align_corners = true; |
| constexpr SamplingPolicy sampling_policy = SamplingPolicy::CENTER; |
| |
| const TensorInfo input_info = TensorInfo{default_input_shape, 1, default_data_type, default_data_layout}; |
| const TensorInfo output_info = TensorInfo{default_output_shape, 1, default_data_type, default_data_layout}; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| const ITensorInfo *sketch_input_info = context.create_tensor_info(input_info); |
| |
| ResizeAttributes attributes{}; |
| attributes.interpolation_policy(interpolation_policy).sampling_policy(sampling_policy).align_corners(align_corners); |
| |
| Status status = GpuResize::validate_op(sketch, sketch_input_info, attributes); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| TEST_CASE(UnsupportedInterpolationPolicy, framework::DatasetMode::ALL) |
| { |
| const TensorInfo input_info = TensorInfo{TensorShape(28U, 33U, 2U), 1, DataType::F32, default_data_layout}; |
| const TensorInfo output_info = TensorInfo{TensorShape(26U, 21U, 2U), 1, DataType::F32, default_data_layout}; |
| constexpr auto interpolation_policy = InterpolationPolicy::AREA; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| const ITensorInfo *sketch_input_info = context.create_tensor_info(input_info); |
| |
| ResizeAttributes attributes{}; |
| attributes.interpolation_policy(interpolation_policy); |
| |
| Status status = GpuResize::validate_op(sketch, sketch_input_info, attributes); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| TEST_CASE(UnsupportedLayout, framework::DatasetMode::ALL) |
| { |
| const TensorInfo input_info = TensorInfo{default_input_shape, 1, default_data_type, DataLayout::NCHW}; |
| const TensorInfo output_info = TensorInfo{default_output_shape, 1, default_data_type, DataLayout::NCHW}; |
| constexpr auto interpolation_policy = InterpolationPolicy::BILINEAR; |
| |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx}; |
| GpuWorkloadSketch sketch{&context}; |
| |
| const ITensorInfo *sketch_input_info = context.create_tensor_info(input_info); |
| |
| ResizeAttributes attributes{}; |
| attributes.interpolation_policy(interpolation_policy); |
| |
| Status status = GpuResize::validate_op(sketch, sketch_input_info, attributes); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| TEST_SUITE_END() // Validate |
| |
| template <typename T> |
| using DynamicFusionResizeFixture = DynamicFusionResizeValidationFixture<CLTensor, CLAccessor, GpuResize, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| |
| const auto f32_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<float>())), |
| framework::dataset::make("DataType", DataType::F32)); |
| |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeFixture<float>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f32_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeFixture<float>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f32_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| const auto f32_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<float>())), |
| framework::dataset::make("DataType", DataType::F32)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f32_nightly_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f32_nightly_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| TEST_SUITE(FP16) |
| const auto f16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<half>())), |
| framework::dataset::make("DataType", DataType::F16)); |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeFixture<half>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f16_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeFixture<half>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f16_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16); |
| } |
| const auto f16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<half>())), |
| framework::dataset::make("DataType", DataType::F16)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f16_nightly_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(f16_nightly_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Integer) |
| TEST_SUITE(U8) |
| const auto u8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), |
| framework::dataset::make("DataType", DataType::U8)); |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(u8_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(u8_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| const auto u8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), |
| framework::dataset::make("DataType", DataType::U8)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(u8_nightly_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(u8_nightly_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| TEST_SUITE_END() // U8 |
| |
| TEST_SUITE(S16) |
| const auto s16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int16_t>())), |
| framework::dataset::make("DataType", DataType::S16)); |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeFixture<int16_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(s16_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeFixture<int16_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(s16_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| const auto s16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int16_t>())), |
| framework::dataset::make("DataType", DataType::S16)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeFixture<int16_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(s16_nightly_shape, ScaleSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeFixture<int16_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_DATASET_DYNAMIC_FUSION(s16_nightly_shape, ScaleAlignCornersSamplingPolicySet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| TEST_SUITE_END() // S16 |
| TEST_SUITE_END() // Integer |
| |
| template <typename T> |
| using DynamicFusionResizeQuantizedFixture = |
| DynamicFusionResizeQuantizedValidationFixture<CLTensor, CLAccessor, GpuResize, T>; |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| const auto qasymm8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), |
| framework::dataset::make("DataType", DataType::QASYMM8)); |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeQuantizedFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_shape, |
| ScaleSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeQuantizedFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_shape, |
| ScaleAlignCornersSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| const auto qasymm8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), |
| framework::dataset::make("DataType", DataType::QASYMM8)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeQuantizedFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_nightly_shape, |
| ScaleSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeQuantizedFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_nightly_shape, |
| ScaleAlignCornersSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_q8); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| const auto qasymm8_signed_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int8_t>())), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)); |
| FIXTURE_DATA_TEST_CASE(Run, |
| DynamicFusionResizeQuantizedFixture<int8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_signed_shape, |
| ScaleSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunAlignCorners, |
| DynamicFusionResizeQuantizedFixture<int8_t>, |
| framework::DatasetMode::ALL, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_signed_shape, |
| ScaleAlignCornersSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8); |
| } |
| const auto qasymm8_signed_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int8_t>())), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)); |
| FIXTURE_DATA_TEST_CASE(RunNightly, |
| DynamicFusionResizeQuantizedFixture<int8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_signed_nightly_shape, |
| ScaleSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, |
| DynamicFusionResizeQuantizedFixture<int8_t>, |
| framework::DatasetMode::NIGHTLY, |
| ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(qasymm8_signed_nightly_shape, |
| ScaleAlignCornersSamplingPolicySet, |
| QuantizationInfoSet)) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = |
| calculate_valid_region_scale(src_info, _reference.shape(), _interpolation_policy, _sampling_policy, false); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // RESIZE |
| TEST_SUITE_END() // DYNAMIC_FUSION |
| TEST_SUITE_END() // CL |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |