Unstack.cpp

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/*
 * Copyright (c) 2018 Arm Limited.
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 * SPDX-License-Identifier: MIT
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLUnstack.h"
 
#include "tests/CL/CLAccessor.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/Validation.h"
#include "tests/validation/fixtures/UnstackFixture.h"
 
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto unstack_axis_dataset  = framework::dataset::make("Axis", -3, 3);
const auto unstack_num_dataset   = framework::dataset::make("Num", 1, 3); // The length of the dimension axis
const auto unstack_dataset_small = datasets::Small3DShapes() * unstack_axis_dataset * unstack_num_dataset;
} //namespace
 
TEST_SUITE(CL)
TEST_SUITE(Unstack)
 
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
                                                                      framework::dataset::make("InputInfo",
{
    TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8),   // Passes, 1 slice on x axis
    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8),   // fails because axis > input's rank
    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32),  // fails axis <  (- input's rank)
    TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32),  // passes, 3 slices along X
    TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), // fails, too few output slices
    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8),   // fails mismatching data types
}),
framework::dataset::make("OutputInfo",
{
    std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) },
 
    std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) },
})),
framework::dataset::make("Axis", { -3, 3, -4, -3, 1, 1 })),
framework::dataset::make("Num", { 1, 1, 1, 1, 0, 1 })),
framework::dataset::make("Expected", { true, false, false, true, false, false })),
input_info, output_info, axis, num, expected)
{
    std::vector<TensorInfo>    ti(output_info);
    std::vector<ITensorInfo *> vec(num);
    for(size_t j = 0; j < vec.size(); ++j)
    {
        vec[j] = &ti[j];
    }
    ARM_COMPUTE_EXPECT(bool(CLUnstack::validate(&input_info.clone()->set_is_resizable(false), vec, axis)) == expected, framework::LogLevel::ERRORS);
}
 
template <typename T>
using CLUnstackFixture = UnstackValidationFixture<CLTensor, ICLTensor, CLAccessor, CLUnstack, T>;
 
TEST_SUITE(F32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<float>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F32 }))
{
    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
    // Validate output
    for(size_t k = 0; k < _target.size(); ++k)
    {
        validate(CLAccessor(_target[k]), _reference[k]);
    }
}
TEST_SUITE_END() // F32
 
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<half>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F16 }))
{
    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
    // Validate output
    for(size_t k = 0; k < _target.size(); ++k)
    {
        validate(CLAccessor(_target[k]), _reference[k]);
    }
}
TEST_SUITE_END() // F16
 
TEST_SUITE(Quantized)
FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::QASYMM8 }))
{
    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
    // Validate output
    for(size_t k = 0; k < _target.size(); ++k)
    {
        validate(CLAccessor(_target[k]), _reference[k]);
    }
}
TEST_SUITE_END() // QASYMM8
 
TEST_SUITE_END() // Unstack
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute