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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/Types.h"
#include "arm_compute/runtime/NEON/functions/NEIm2Col.h"
#include "tests/NEON/Accessor.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/Im2ColFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto conv_filter_sizes = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U), Size2D(5U, 5U), Size2D(7U, 7U) });
const auto conv_args = combine(combine(combine(combine(conv_filter_sizes, framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U), PadStrideInfo(2U, 2U, 0U, 2U) })),
framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("NumGroups", { 1 }));
const auto conv_filter_sizes_small = framework::dataset::make("KernelDims", { Size2D(3U, 3U), Size2D(3U, 1U), Size2D(1U, 5U) });
const auto conv_args_small = combine(combine(combine(combine(conv_filter_sizes_small, framework::dataset::make("PadStride", { PadStrideInfo(1U, 1U, 0U, 0U), PadStrideInfo(1U, 1U, 1U, 1U) })),
framework::dataset::make("QuantizationInfo", QuantizationInfo(0.5f, 10))),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("NumGroups", { 1 }));
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(Im2Col)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), // Unsupported data type
TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), // Mismatching data type
TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Bias not supported with QASYMM8
TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), // Mismatching shapes
TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8),
})),
framework::dataset::make("HasBias", { true, true, true, false, false })),
framework::dataset::make("Expected", { false, false, false, false, true })),
input_info, output_info, has_bias, expected)
{
bool status = bool(NEIm2Col::validate(&input_info, &output_info, Size2D(3U, 3U), PadStrideInfo(), has_bias));
ARM_COMPUTE_EXPECT(status == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEIm2ColFixture = Im2ColValidationFixture<Tensor, Accessor, NEIm2Col, T, false>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)),
conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
DataType::F32)),
conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)),
conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
DataType::F16)),
conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::QASYMM8)),
conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
framework::dataset::make("DataType", DataType::QASYMM8)),
conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE(SpecialCases)
TEST_CASE(PaddedChannelNHWC, framework::DatasetMode::PRECOMMIT)
{
// Const data
const TensorShape src_shape = TensorShape(7U, 27U, 13U);
const DataType data_type = DataType::F32;
const DataLayout data_layout = DataLayout::NHWC;
const bool has_bias = false;
const unsigned int num_groups = 1;
const Size2D spatial_kernel(3, 3);
const QuantizationInfo qinfo{};
const PadStrideInfo conv_info(1U, 1U, 0U, 0U);
// Calculate destination shape
TensorInfo src_info(src_shape, 1, data_type);
src_info.set_data_layout(data_layout);
const TensorShape dst_shape = compute_im2col_conv_shape(&src_info, spatial_kernel, conv_info, has_bias, Size2D(1U, 1U), false, num_groups);
// Compute target
Tensor src_target = create_tensor<Tensor>(src_shape, data_type, 1, qinfo, data_layout);
Tensor dst_target = create_tensor<Tensor>(dst_shape, data_type, 1, qinfo);
// Configure target function
NEIm2Col im2col_func;
im2col_func.configure(&src_target, &dst_target, spatial_kernel, conv_info, has_bias);
// Extend padding
src_target.info()->extend_padding(PaddingSize(3, 5, 9, 1));
dst_target.info()->extend_padding(PaddingSize(8, 1, 1, 3));
// Validate and allocate tensors
ARM_COMPUTE_EXPECT(src_target.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
src_target.allocator()->allocate();
dst_target.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src_target.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill target source
library->fill_tensor_uniform(Accessor(src_target), 0);
// Run target function
im2col_func.run();
// Calculate Reference
SimpleTensor<float> src_ref{ src_shape, data_type, 1, qinfo, data_layout };
SimpleTensor<float> dst_ref{ dst_shape, data_type, 1, qinfo, DataLayout::NCHW };
// Fill reference source
library->fill_tensor_uniform(src_ref, 0);
#ifndef DOXYGEN_SKIP_THIS
// Run reference function
reference::im2col(src_ref, dst_ref, spatial_kernel, conv_info, has_bias, num_groups);
#endif // DOXYGEN_SKIP_THIS
// Validate
validate(Accessor(dst_target), dst_ref);
}
TEST_SUITE_END() // Special Cases
TEST_SUITE_END() // Im2Col
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute
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