| /* |
| * 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 |