| /* |
| * Copyright (c) 2020-2022 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 |
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| * 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 TESTS_DATASETS_SCALEVALIDATIONDATASET |
| #define TESTS_DATASETS_SCALEVALIDATIONDATASET |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/datasets/BorderModeDataset.h" |
| #include "tests/datasets/SamplingPolicyDataset.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| /** Class to generate boundary values for the given template parameters |
| * including shapes with large differences between width and height. |
| * element_per_iteration is the number of elements processed by one iteration |
| * of an implementation. (E.g., if an iteration is based on a 16-byte vector |
| * and size of one element is 1-byte, this value would be 16.). |
| * iterations is the total number of complete iterations we want to test |
| * for the effect of larger shapes. |
| */ |
| template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration, uint32_t iterations> |
| class ScaleShapesBaseDataSet : public ShapeDataset |
| { |
| static constexpr auto boundary_minus_one = element_per_iteration * iterations - 1; |
| static constexpr auto boundary_plus_one = element_per_iteration * iterations + 1; |
| static constexpr auto small_size = 3; |
| |
| public: |
| // These tensor shapes are NCHW layout, fixture will convert to NHWC. |
| ScaleShapesBaseDataSet() |
| : ShapeDataset("Shape", |
| { |
| TensorShape{ small_size, boundary_minus_one, channel, batch }, |
| TensorShape{ small_size, boundary_plus_one, channel, batch }, |
| TensorShape{ boundary_minus_one, small_size, channel, batch }, |
| TensorShape{ boundary_plus_one, small_size, channel, batch }, |
| TensorShape{ boundary_minus_one, boundary_plus_one, channel, batch }, |
| TensorShape{ boundary_plus_one, boundary_minus_one, channel, batch }, |
| }) |
| { |
| } |
| }; |
| |
| /** For the single vector, only larger value (+1) than boundary |
| * since smaller value (-1) could cause some invalid shapes like |
| * - invalid zero size |
| * - size 1 which isn't compatible with scale with aligned corners. |
| */ |
| template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration> |
| class ScaleShapesBaseDataSet<channel, batch, element_per_iteration, 1> : public ShapeDataset |
| { |
| static constexpr auto small_size = 3; |
| static constexpr auto boundary_plus_one = element_per_iteration + 1; |
| |
| public: |
| // These tensor shapes are NCHW layout, fixture will convert to NHWC. |
| ScaleShapesBaseDataSet() |
| : ShapeDataset("Shape", |
| { |
| TensorShape{ small_size, boundary_plus_one, channel, batch }, |
| TensorShape{ boundary_plus_one, small_size, channel, batch }, |
| }) |
| { |
| } |
| }; |
| |
| /** For the shapes smaller than one vector, only pre-defined tiny shapes |
| * are tested (3x2, 2x3) as smaller shapes are more likely to cause |
| * issues and easier to debug. |
| */ |
| template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration> |
| class ScaleShapesBaseDataSet<channel, batch, element_per_iteration, 0> : public ShapeDataset |
| { |
| static constexpr auto small_size = 3; |
| static constexpr auto zero_vector_boundary_value = 2; |
| |
| public: |
| // These tensor shapes are NCHW layout, fixture will convert to NHWC. |
| ScaleShapesBaseDataSet() |
| : ShapeDataset("Shape", |
| { |
| TensorShape{ small_size, zero_vector_boundary_value, channel, batch }, |
| TensorShape{ zero_vector_boundary_value, small_size, channel, batch }, |
| }) |
| { |
| } |
| }; |
| |
| /** Interpolation policy test set */ |
| const auto ScaleInterpolationPolicySet = framework::dataset::make("InterpolationPolicy", |
| { |
| InterpolationPolicy::NEAREST_NEIGHBOR, |
| InterpolationPolicy::BILINEAR, |
| }); |
| |
| /** Scale data types */ |
| const auto ScaleDataLayouts = framework::dataset::make("DataLayout", |
| { |
| DataLayout::NCHW, |
| DataLayout::NHWC, |
| }); |
| |
| /** Sampling policy data set */ |
| const auto ScaleSamplingPolicySet = combine(datasets::SamplingPolicies(), |
| framework::dataset::make("AlignCorners", { false })); |
| |
| /** Sampling policy data set for Aligned Corners which only allows TOP_LEFT policy.*/ |
| const auto ScaleAlignCornersSamplingPolicySet = combine(framework::dataset::make("SamplingPolicy", |
| { |
| SamplingPolicy::TOP_LEFT, |
| }), |
| framework::dataset::make("AlignCorners", { true })); |
| |
| /** Generated shapes: used by precommit and nightly for CPU tests |
| * - 2D shapes with 0, 1, 2 vector iterations |
| * - 3D shapes with 0, 1 vector iterations |
| * - 4D shapes with 0 vector iterations |
| */ |
| #define SCALE_SHAPE_DATASET(element_per_iteration) \ |
| concat(concat(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(), \ |
| ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 2>()), \ |
| ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 1>()), \ |
| ScaleShapesBaseDataSet<40, 3, (element_per_iteration), 0>()) |
| |
| // To prevent long precommit time for OpenCL, shape set for OpenCL is separated into below two parts. |
| /** Generated shapes for precommits to achieve essential coverage. Used by CL precommit and nightly |
| * - 3D shapes with 1 vector iterations |
| * - 4D shapes with 1 vector iterations |
| */ |
| #define SCALE_PRECOMMIT_SHAPE_DATASET(element_per_iteration) \ |
| concat(ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 1>(), ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 1>()) |
| |
| /** Generated shapes for nightly to achieve more small and variety shapes. Used by CL nightly |
| * - 2D shapes with 0, 1, 2 vector iterations |
| * - 3D shapes with 0 vector iterations (1 vector iteration is covered by SCALE_PRECOMMIT_SHAPE_DATASET) |
| * - 4D shapes with 0 vector iterations |
| */ |
| #define SCALE_NIGHTLY_SHAPE_DATASET(element_per_iteration) \ |
| concat(concat(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(), \ |
| ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 1>()), \ |
| ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 0>()), \ |
| ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 0>()) |
| |
| /** Generating dataset for non-quantized data types with the given shapes */ |
| #define ASSEMBLE_DATASET(shape, samping_policy_set) \ |
| combine(combine(combine(combine((shape), ScaleDataLayouts), \ |
| ScaleInterpolationPolicySet), \ |
| datasets::BorderModes()), \ |
| samping_policy_set) |
| |
| #define ASSEMBLE_DATASET_DYNAMIC_FUSION(shape, samping_policy_set) \ |
| combine(combine(combine((shape), framework::dataset::make("DataLayout", { DataLayout::NHWC })), \ |
| ScaleInterpolationPolicySet), \ |
| samping_policy_set) |
| |
| #define ASSEMBLE_S8_DATASET(shape, samping_policy_set) \ |
| combine(combine(combine(combine((shape), framework::dataset::make("DataLayout", DataLayout::NHWC)), \ |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::BILINEAR })), \ |
| framework::dataset::make("BorderMode", { BorderMode::REPLICATE })), \ |
| samping_policy_set) |
| |
| #define ASSEMBLE_NHWC_DATASET(shape, samping_policy_set) \ |
| combine(combine(combine(combine((shape), framework::dataset::make("DataLayout", DataLayout::NHWC)), \ |
| ScaleInterpolationPolicySet), \ |
| framework::dataset::make("BorderMode", { BorderMode::CONSTANT, BorderMode::REPLICATE })), \ |
| samping_policy_set) |
| |
| /** Generating dataset for quantized data tyeps with the given shapes */ |
| #define ASSEMBLE_QUANTIZED_DATASET(shape, sampling_policy_set, quantization_info_set) \ |
| combine(combine(combine(combine(combine(shape, \ |
| quantization_info_set), \ |
| ScaleDataLayouts), \ |
| ScaleInterpolationPolicySet), \ |
| datasets::BorderModes()), \ |
| sampling_policy_set) |
| |
| #define ASSEMBLE_QUANTIZED_DATASET_DYNAMIC_FUSION(shape, sampling_policy_set, quantization_info_set) \ |
| combine(combine(combine(combine(shape, \ |
| quantization_info_set), \ |
| framework::dataset::make("DataLayout", { DataLayout::NHWC })), \ |
| ScaleInterpolationPolicySet), \ |
| sampling_policy_set) |
| |
| /** Generating dataset for quantized data tyeps with the given shapes */ |
| #define ASSEMBLE_DIFFERENTLY_QUANTIZED_DATASET(shape, sampling_policy_set, input_quant_info_set, output_quant_info_set) \ |
| combine(combine(combine(combine(combine(combine(shape, \ |
| input_quant_info_set), \ |
| output_quant_info_set), \ |
| framework::dataset::make("DataLayout", { DataLayout::NHWC })), \ |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::BILINEAR })), \ |
| framework::dataset::make("BorderMode", { BorderMode::REPLICATE })), \ |
| sampling_policy_set) |
| |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* TESTS_DATASETS_SCALEVALIDATIONDATASET */ |