Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/Types.h" |
| 25 | #include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h" |
| 26 | #include "arm_compute/runtime/Tensor.h" |
| 27 | #include "arm_compute/runtime/TensorAllocator.h" |
| 28 | #include "tests/NEON/Accessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/DepthwiseConvolutionDataset.h" |
| 31 | #include "tests/framework/Asserts.h" |
| 32 | #include "tests/framework/Macros.h" |
| 33 | #include "tests/framework/datasets/Datasets.h" |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/fixtures/DepthwiseConvolutionFixture.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| 46 | } // namespace |
| 47 | |
| 48 | TEST_SUITE(NEON) |
| 49 | TEST_SUITE(DepthwiseConvolutionLayer) |
| 50 | |
| 51 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionDataset3x3(), datasets::LargeDepthwiseConvolutionDataset3x3()), |
| 52 | framework::dataset::make("DataType", DataType::F32)), |
| 53 | input_shape, weights_shape, bias_shape, output_shape, info, data_type) |
| 54 | { |
| 55 | // Create tensors |
| 56 | Tensor src = create_tensor<Tensor>(input_shape, data_type); |
| 57 | Tensor dst = create_tensor<Tensor>(output_shape, data_type); |
| 58 | Tensor weights = create_tensor<Tensor>(weights_shape, data_type); |
| 59 | Tensor bias = create_tensor<Tensor>(bias_shape, data_type); |
| 60 | |
| 61 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 62 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 63 | ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 64 | ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 65 | |
| 66 | // Create and configure function |
| 67 | NEDepthwiseConvolution3x3 depthwise_layer; |
Giorgio Arena | 82afedf | 2017-11-15 13:36:15 +0000 | [diff] [blame] | 68 | depthwise_layer.configure(&src, &weights, &bias, &dst, info); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 69 | |
| 70 | // Validate valid region |
| 71 | const ValidRegion input_valid_region = shape_to_valid_region(input_shape); |
| 72 | const ValidRegion output_valid_region = shape_to_valid_region(output_shape); |
| 73 | const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape); |
| 74 | const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape); |
| 75 | |
| 76 | validate(src.info()->valid_region(), input_valid_region); |
| 77 | validate(dst.info()->valid_region(), output_valid_region); |
| 78 | validate(weights.info()->valid_region(), weights_valid_region); |
| 79 | validate(bias.info()->valid_region(), bias_valid_region); |
| 80 | |
| 81 | // Validate padding |
| 82 | const int step = 16 >> info.stride().first; |
| 83 | const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding(); |
| 84 | validate(dst.info()->padding(), padding); |
| 85 | } |
| 86 | |
| 87 | template <typename T> |
| 88 | using NEDepthwiseConvolutionFixture3x3 = DepthwiseConvolutionValidationFixture<Tensor, Accessor, NEDepthwiseConvolution3x3, T>; |
| 89 | |
| 90 | TEST_SUITE(F32) |
| 91 | TEST_SUITE(W3x3) |
| 92 | FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::PRECOMMIT, datasets::SmallDepthwiseConvolutionDataset3x3()) |
| 93 | { |
| 94 | validate(Accessor(_target), _reference, tolerance_f32); |
| 95 | } |
| 96 | FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::NIGHTLY, datasets::LargeDepthwiseConvolutionDataset3x3()) |
| 97 | { |
| 98 | validate(Accessor(_target), _reference, tolerance_f32); |
| 99 | } |
| 100 | TEST_SUITE_END() |
| 101 | TEST_SUITE_END() |
| 102 | |
| 103 | TEST_SUITE_END() |
| 104 | TEST_SUITE_END() |
| 105 | } // namespace validation |
| 106 | } // namespace test |
| 107 | } // namespace arm_compute |