| /* |
| * Copyright (c) 2017-2018 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/NELocallyConnectedLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/LocallyConnectedDataset.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/LocallyConnectedFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| constexpr RelativeTolerance<float> tolerance_f32(0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(LocallyConnected) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) |
| }), |
| framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) |
| })), |
| framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) |
| })), |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) |
| })), |
| framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 0, 0), |
| PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), |
| PadStrideInfo(2, 1, 0, 0) |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, false, false, false, true })), |
| input_info, weights_info, bias_info, output_info, conv_info, expected) |
| { |
| bool is_valid = bool(NELocallyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false), |
| &weights_info.clone()->set_is_resizable(false), |
| &bias_info.clone()->set_is_resizable(false), |
| &output_info.clone()->set_is_resizable(false), |
| conv_info)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), |
| framework::dataset::make("DataType", DataType::F32)), |
| src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type) |
| { |
| ARM_COMPUTE_UNUSED(dilation); |
| |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(src_shape, data_type); |
| Tensor weights = create_tensor<Tensor>(weights_shape, data_type); |
| Tensor bias = create_tensor<Tensor>(bias_shape, data_type); |
| Tensor dst = create_tensor<Tensor>(dst_shape, data_type); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function. |
| NELocallyConnectedLayer lc; |
| lc.configure(&src, &weights, &bias, &dst, info); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| } |
| |
| template <typename T> |
| using NELocallyConnectedFixture = LocallyConnectedValidationFixture<Tensor, Accessor, NELocallyConnectedLayer, T>; |
| FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), |
| framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), |
| framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |