195 lines
8.7 KiB
C++
195 lines
8.7 KiB
C++
/*
|
|
* Copyright (c) 2020 Arm Limited.
|
|
*
|
|
* SPDX-License-Identifier: MIT
|
|
*
|
|
* Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
* of this software and associated documentation files (the "Software"), to
|
|
* deal in the Software without restriction, including without limitation the
|
|
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
|
|
* sell copies of the Software, and to permit persons to whom the Software is
|
|
* furnished to do so, subject to the following conditions:
|
|
*
|
|
* The above copyright notice and this permission notice shall be included in all
|
|
* copies or substantial portions of the Software.
|
|
*
|
|
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|
* SOFTWARE.
|
|
*/
|
|
#ifndef ARM_COMPUTE_TEST_SCALE_VALIDATION_DATASET
|
|
#define ARM_COMPUTE_TEST_SCALE_VALIDATION_DATASET
|
|
|
|
#include "utils/TypePrinter.h"
|
|
|
|
#include "arm_compute/core/TensorShape.h"
|
|
#include "arm_compute/core/Types.h"
|
|
#include "tests/datasets/BorderModeDataset.h"
|
|
#include "tests/datasets/InterpolationPolicyDataset.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 NEON precommit and nightly
|
|
* - 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(concat(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(), \
|
|
ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 1>()), \
|
|
ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 2>()), \
|
|
ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 0>()), \
|
|
ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 1>()), \
|
|
ScaleShapesBaseDataSet<3, 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(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(), \
|
|
ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 1>()), \
|
|
ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 2>()), \
|
|
ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 0>()), \
|
|
ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 0>())
|
|
|
|
/** Generating dataset for non-quantized data tyeps with the given shapes */
|
|
#define ASSEMBLE_DATASET(shape, samping_policy_set) \
|
|
combine(combine(combine(combine((shape), ScaleDataLayouts), \
|
|
ScaleInterpolationPolicySet), \
|
|
datasets::BorderModes()), \
|
|
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)
|
|
|
|
} // namespace datasets
|
|
} // namespace test
|
|
} // namespace arm_compute
|
|
#endif /* ARM_COMPUTE_TEST_SCALE_VALIDATION_DATASET */ |