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/*
* Copyright (c) 2017-2019 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/Helpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEScale.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/BorderModeDataset.h"
#include "tests/datasets/InterpolationPolicyDataset.h"
#include "tests/datasets/SamplingPolicyDataset.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/Helpers.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/ScaleFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
/** Scale data types */
const auto ScaleDataTypes = framework::dataset::make("DataType",
{
DataType::U8,
DataType::S16,
DataType::F32,
});
/** Scale data types */
const auto ScaleDataLayouts = framework::dataset::make("DataLayout",
{
DataLayout::NCHW,
DataLayout::NHWC,
});
/** Tolerance */
constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1);
constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
RelativeTolerance<float> tolerance_f32(0.01);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<half> tolerance_f16(half(0.1));
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
constexpr float tolerance_num_s16 = 0.01f;
constexpr float tolerance_num_f32 = 0.01f;
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(Scale)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Mismatching data type
TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), // Invalid policy
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Insufficient padding
TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32),
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32),
TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32),
})),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR,
InterpolationPolicy::AREA,
InterpolationPolicy::AREA,
InterpolationPolicy::NEAREST_NEIGHBOR,
})),
framework::dataset::make("BorderMode", { BorderMode::UNDEFINED,
BorderMode::UNDEFINED,
BorderMode::UNDEFINED,
BorderMode::REPLICATE,
})),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER,
SamplingPolicy::CENTER,
SamplingPolicy::CENTER,
SamplingPolicy::CENTER,
})),
framework::dataset::make("DataLayout", { DataLayout::NCHW,
DataLayout::NHWC,
DataLayout::NCHW,
DataLayout::NHWC,
})),
framework::dataset::make("Expected", { false, false, false ,true })),
input_info, output_info, policy,border_mode, sampling_policy, data_layout, expected)
{
const PixelValue constant_border(5);
Status status = NEScale::validate(&input_info.clone()->set_is_resizable(false).set_data_layout(data_layout),
&output_info.clone()->set_is_resizable(false).set_data_layout(data_layout),
policy, border_mode, constant_border, sampling_policy);
ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), ScaleDataTypes), ScaleDataLayouts),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER })),
shape, data_type, data_layout, policy, border_mode, sampling_policy)
{
std::mt19937 generator(library->seed());
std::uniform_real_distribution<float> distribution_float(0.25, 2);
const float scale_x = distribution_float(generator);
const float scale_y = distribution_float(generator);
uint8_t constant_border_value = 0;
TensorShape src_shape = shape;
if(border_mode == BorderMode::CONSTANT)
{
std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
constant_border_value = distribution_u8(generator);
}
// Get width/height indices depending on layout
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
// Change shape in case of NHWC.
if(data_layout == DataLayout::NHWC)
{
permute(src_shape, PermutationVector(2U, 0U, 1U));
}
// Calculate scaled shape
TensorShape shape_scaled(src_shape);
shape_scaled.set(idx_width, src_shape[idx_width] * scale_x);
shape_scaled.set(idx_height, src_shape[idx_height] * scale_y);
// Create tensors
Tensor src = create_tensor<Tensor>(src_shape, data_type, 1, QuantizationInfo(), data_layout);
Tensor dst = create_tensor<Tensor>(shape_scaled, data_type, 1, QuantizationInfo(), data_layout);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
NEScale nescale;
nescale.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy);
// Validate valid region
const ValidRegion dst_valid_region = calculate_valid_region_scale(*(src.info()), shape_scaled, policy, sampling_policy, (border_mode == BorderMode::UNDEFINED));
validate(dst.info()->valid_region(), dst_valid_region);
// Validate padding
int num_elements_processed_x = 16;
if(data_layout == DataLayout::NHWC)
{
num_elements_processed_x = (policy == InterpolationPolicy::BILINEAR) ? 1 : 16 / src.info()->element_size();
}
PaddingCalculator calculator(shape_scaled.x(), num_elements_processed_x);
calculator.set_border_mode(border_mode);
PaddingSize read_padding(1);
if(data_layout == DataLayout::NHWC)
{
read_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
if(border_mode != BorderMode::REPLICATE && policy == InterpolationPolicy::BILINEAR)
{
read_padding.top = 1;
}
}
const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
validate(src.info()->padding(), read_padding);
validate(dst.info()->padding(), write_padding);
}
template <typename T>
using NEScaleFixture = ScaleValidationFixture<Tensor, Accessor, NEScale, T>;
template <typename T>
using NEScaleQuantizedFixture = ScaleValidationQuantizedFixture<Tensor, Accessor, NEScale, T>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32);
}
TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//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(Accessor(_target), _reference, valid_region, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//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(Accessor(_target), _reference, valid_region, tolerance_f16);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float
TEST_SUITE(Integer)
TEST_SUITE(U8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
DataType::U8)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_u8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
DataType::U8)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_u8);
}
TEST_SUITE_END() // U8
TEST_SUITE(S16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
DataType::S16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_s16, tolerance_num_s16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
DataType::S16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_s16, tolerance_num_s16);
}
TEST_SUITE_END() // S16
TEST_SUITE_END() // Integer
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
datasets::BorderModes()),
framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
validate(Accessor(_target), _reference, valid_region, tolerance_u8);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // Scale
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute