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/*
* Copyright (c) 2018-2020 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.
*/
#include "arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/Helper.h"
#include "tests/PaddingCalculator.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/GEMMReshapeLHSMatrixFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::misc::shape_calculator;
// Initialize the output tensor with zero and fill the border with zero
using CLGEMMReshapeLHSMatrix = CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder<CLGEMMReshapeLHSMatrixKernel, 16>;
template <typename T>
using CLGEMMReshapeLHSMatrixFixture = GEMMReshapeLHSMatrixValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeLHSMatrix, T, false>;
// Fixture to use when the input has to be reinterpreted as 3D
template <typename T>
using CLGEMMReshapeLHSMatrix3DFixture = GEMMReshapeLHSMatrixValidationFixture<CLTensor, CLAccessor, CLGEMMReshapeLHSMatrix, T, true>;
// *INDENT-OFF*
// clang-format off
/** Data types */
namespace
{
/** Batch size values to test */
const auto b_values = framework::dataset::make("batchsize", 1, 3);
/** M0 values to test */
const auto m0_values_s32 = framework::dataset::make("M0", { 2, 3 });
const auto m0_values_s16 = framework::dataset::make("M0", { 4, 5 });
const auto m0_values_s8 = framework::dataset::make("M0", { 6, 7, 8 });
/** K0 values to test */
const auto k0_values_s32 = framework::dataset::make("K0", { 2, 3 });
const auto k0_values_s16 = framework::dataset::make("K0", { 4, 8 });
const auto k0_values_s8 = framework::dataset::make("K0", { 16 });
/** V0 values to test */
const auto v0_values = framework::dataset::make("V0", 1, 4);
/** Interleave values to test */
const auto i_values = framework::dataset::make("interleave", { true, false });
/** Transpose values to test */
const auto t_values = framework::dataset::make("transpose", { true, false });
/** Zero padding test */
bool validate_zero_padding(unsigned int m_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int k0_value, unsigned int v0_value,
bool i_value_lhs, bool t_value_lhs, bool input_as_3d, DataType dt)
{
const unsigned int M = m_value;
const unsigned int K = k_value;
const unsigned int B = b_value;
GEMMLHSMatrixInfo lhs_info;
lhs_info.m0 = m0_value;
lhs_info.k0 = k0_value;
lhs_info.v0 = v0_value;
lhs_info.interleave = i_value_lhs;
lhs_info.transpose = t_value_lhs;
const TensorShape lhs_shape(K, M, B);
const TensorShape lhs_shape_reshaped = compute_lhs_reshaped_shape(TensorInfo(lhs_shape, 1, dt), lhs_info, input_as_3d);
// Create tensors
CLTensor lhs = create_tensor<CLTensor>(lhs_shape, dt);
CLTensor dst = create_tensor<CLTensor>(lhs_shape_reshaped, dt);
ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Validate zero-padding
CLGEMMReshapeLHSMatrixKernel lhs_reshape;
lhs_reshape.configure(&lhs, &dst, lhs_info, input_as_3d);
return lhs.info()->padding().empty();
}
} // namespace
TEST_SUITE(CL)
TEST_SUITE(GEMMReshapeLHSMatrix)
/** Validate zero padding tests for the LHS input tensor
*
* A series of validation tests to test the zero padding requirement
*
* Checks performed in order:
* - Case where M and K are smaller than M0 and K0
* - Generic test case with batch size = 1
* - Generic test case with batch size = 4
* - Generic test case with input_as_3d_value = true
*/
DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
framework::dataset::make("M", { 1, 23, 63, 101 }),
framework::dataset::make("K", { 1, 47, 29, 27 })),
framework::dataset::make("B", { 1, 1, 4, 7 })),
framework::dataset::make("M0", { 4, 2, 4, 8 })),
framework::dataset::make("K0", { 2, 2, 4, 8 })),
framework::dataset::make("input_as_3d", { false, false, false, true })),
m_value, k_value, b_value, m0_value, k0_value, input_as_3d_value)
{
constexpr DataType dt = DataType::F32;
bool status = validate_zero_padding(m_value, k_value, b_value, m0_value, k0_value, 2, false, false, input_as_3d_value, dt);
ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
}
FIXTURE_DATA_TEST_CASE(S32, CLGEMMReshapeLHSMatrixFixture<int>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S32)),
m0_values_s32),
k0_values_s32),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(S16, CLGEMMReshapeLHSMatrixFixture<short>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S16)),
m0_values_s16),
k0_values_s16),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(S8, CLGEMMReshapeLHSMatrixFixture<char>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S8)),
m0_values_s8),
k0_values_s8),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
TEST_SUITE(ReinterpretInputAs3D)
FIXTURE_DATA_TEST_CASE(S32, CLGEMMReshapeLHSMatrix3DFixture<int>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S32)),
m0_values_s32),
k0_values_s32),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(S16, CLGEMMReshapeLHSMatrix3DFixture<short>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S16)),
m0_values_s16),
k0_values_s16),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(S8, CLGEMMReshapeLHSMatrix3DFixture<char>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(),
b_values),
framework::dataset::make("DataType", DataType::S8)),
m0_values_s8),
k0_values_s8),
v0_values),
i_values),
t_values))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // ReinterpretInputAs3D
TEST_SUITE_END() // GEMMReshapeLHSMatrix
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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