| /* | |
| * Copyright (c) 2021, 2023 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/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/functions/CLConv3D.h" | |
| #include "arm_compute/runtime/FunctionDescriptors.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/framework/Macros.h" | |
| #include "tests/framework/datasets/Datasets.h" | |
| #include "tests/validation/Validation.h" | |
| #include "tests/validation/fixtures/DirectConvolution3DFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| const RelativeTolerance<half> rel_tolerance_fp16(half(0.2)); /**< Relative tolerance for FP16 tests */ | |
| constexpr float abs_tolerance_fp16(0.02f); /**< Absolute tolerance for FP16 tests */ | |
| constexpr RelativeTolerance<float> rel_tolerance_fp32(0.05f); /**< Relative tolerance for FP32 tests */ | |
| constexpr float abs_tolerance_fp32(0.0001f); /**< Absolute tolerance for FP32 tests*/ | |
| constexpr AbsoluteTolerance<uint8_t> abs_tolerance_qasymm8(1); /**< Absolute tolerance for quantized tests */ | |
| constexpr float tolerance_num = 0.07f; /**< Tolerance number */ | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(DirectConvolution3D) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputShape", { TensorShape(27U, 13U, 5U, 3U), // Unsupported data layout | |
| TensorShape(27U, 13U, 5U, 3U), // Unsupported activation enabled | |
| TensorShape(27U, 13U, 5U, 3U), // Mismatching data type | |
| TensorShape(27U, 13U, 5U, 3U), // Unsupported data type | |
| TensorShape(27U, 13U, 5U, 3U), // Mismatching input feature maps | |
| TensorShape(27U, 13U, 5U, 3U), // Mismatching output feature maps | |
| TensorShape(27U, 13U, 5U, 3U), // Mismatching bias shape | |
| TensorShape(27U, 13U, 5U, 3U), // Unsupported number of weights dimensions | |
| TensorShape(27U, 13U, 5U, 3U), // Unsupported number of biases dimensions | |
| TensorShape(27U, 13U, 5U, 3U), // Mismatching output shape | |
| TensorShape(27U, 13U, 5U, 3U) | |
| }), | |
| framework::dataset::make("WeightsShape", { TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 32U, 3U, 3U, 3U), | |
| TensorShape(8U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U, 2U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U), | |
| TensorShape(4U, 27U, 3U, 3U, 3U) | |
| })), | |
| framework::dataset::make("BiasesShape", { TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(8U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U), | |
| TensorShape(4U) | |
| })), | |
| framework::dataset::make("OutputShape", { TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U, 2U), | |
| TensorShape(4U, 11U, 5U, 3U), | |
| TensorShape(4U, 13U, 5U, 3U) | |
| })), | |
| framework::dataset::make("Conv3dInfo", { Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), | |
| Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false) | |
| })), | |
| framework::dataset::make("SrcDataType", { DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::U32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32 | |
| })), | |
| framework::dataset::make("WeightsDataType", { DataType::F32, | |
| DataType::F32, | |
| DataType::F16, | |
| DataType::U32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32, | |
| DataType::F32 | |
| })), | |
| framework::dataset::make("DataLayout", { DataLayout::NCDHW, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC, | |
| DataLayout::NDHWC | |
| })), | |
| framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), | |
| input_shape, weights_shape, biases_shape, output_shape, conv3d_info, src_data_type, weights_data_type, data_layout, expected) | |
| { | |
| TensorInfo input_info = TensorInfo(input_shape, 1, src_data_type); | |
| TensorInfo weights_info = TensorInfo(weights_shape, 1, weights_data_type); | |
| TensorInfo biases_info = TensorInfo(biases_shape, 1, src_data_type); | |
| TensorInfo output_info = TensorInfo(output_shape, 1, src_data_type); | |
| input_info.set_data_layout(data_layout); | |
| weights_info.set_data_layout(data_layout); | |
| biases_info.set_data_layout(data_layout); | |
| output_info.set_data_layout(data_layout); | |
| bool is_valid = bool(CLConv3D::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv3d_info)); | |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); | |
| } | |
| template <typename T> | |
| using CLDirectConvolution3DFixture = DirectConvolution3DValidationFixture<CLTensor, CLAccessor, CLConv3D, T>; | |
| template <typename T> | |
| using CLDirectConvolution3DQuantizedFixture = DirectConvolution3DValidationQuantizedFixture<CLTensor, CLAccessor, CLConv3D, T>; | |
| TEST_SUITE(NDHWC) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<half>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), | |
| TensorShape(15U, 7U, 11U, 7U), | |
| TensorShape(19U, 5U, 16U, 4U), | |
| TensorShape(13U, 5U, 17U, 2U) | |
| }), | |
| framework::dataset::make("StrideX", { 1, 3, 2, 1 })), | |
| framework::dataset::make("StrideY", { 2, 1, 3, 1 })), | |
| framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), | |
| framework::dataset::make("PadX", { 0, 2, 1, 0 })), | |
| framework::dataset::make("PadY", { 1, 0, 2, 0 })), | |
| framework::dataset::make("PadZ", { 2, 1, 0, 0 })), | |
| framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), | |
| framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), | |
| framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), | |
| framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), | |
| framework::dataset::make("HasBias", { true, true, true, false })), | |
| framework::dataset::make("Activation", ActivationLayerInfo())), | |
| framework::dataset::make("DataType", DataType::F16)), | |
| framework::dataset::make("DataLayout", DataLayout::NDHWC))) | |
| { | |
| validate(CLAccessor(_target), _reference, rel_tolerance_fp16, tolerance_num, abs_tolerance_fp16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<float>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), | |
| TensorShape(15U, 7U, 11U, 7U), | |
| TensorShape(19U, 5U, 16U, 4U), | |
| TensorShape(13U, 5U, 17U, 2U) | |
| }), | |
| framework::dataset::make("StrideX", { 1, 3, 2, 1 })), | |
| framework::dataset::make("StrideY", { 2, 1, 3, 1 })), | |
| framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), | |
| framework::dataset::make("PadX", { 0, 2, 1, 0 })), | |
| framework::dataset::make("PadY", { 1, 0, 2, 0 })), | |
| framework::dataset::make("PadZ", { 2, 1, 0, 0 })), | |
| framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), | |
| framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), | |
| framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), | |
| framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), | |
| framework::dataset::make("HasBias", { true, true, true, false })), | |
| framework::dataset::make("Activation", ActivationLayerInfo())), | |
| framework::dataset::make("DataType", DataType::F32)), | |
| framework::dataset::make("DataLayout", DataLayout::NDHWC))) | |
| { | |
| validate(CLAccessor(_target), _reference, rel_tolerance_fp32, 0.0, abs_tolerance_fp32); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), | |
| TensorShape(15U, 7U, 11U, 7U), | |
| TensorShape(19U, 5U, 16U, 4U), | |
| TensorShape(13U, 5U, 17U, 2U) | |
| }), | |
| framework::dataset::make("StrideX", { 1, 3, 2, 1 })), | |
| framework::dataset::make("StrideY", { 2, 1, 3, 1 })), | |
| framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), | |
| framework::dataset::make("PadX", { 0, 2, 1, 0 })), | |
| framework::dataset::make("PadY", { 1, 0, 2, 0 })), | |
| framework::dataset::make("PadZ", { 2, 1, 0, 0 })), | |
| framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), | |
| framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), | |
| framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), | |
| framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), | |
| framework::dataset::make("HasBias", { true, true, true, false })), | |
| framework::dataset::make("Activation", ActivationLayerInfo())), | |
| framework::dataset::make("DataType", DataType::QASYMM8)), | |
| framework::dataset::make("DataLayout", DataLayout::NDHWC)), | |
| framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), | |
| framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), | |
| framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) | |
| { | |
| validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), | |
| TensorShape(15U, 7U, 11U, 7U), | |
| TensorShape(19U, 5U, 16U, 4U), | |
| TensorShape(13U, 5U, 17U, 2U) | |
| }), | |
| framework::dataset::make("StrideX", { 1, 3, 2, 1 })), | |
| framework::dataset::make("StrideY", { 2, 1, 3, 1 })), | |
| framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), | |
| framework::dataset::make("PadX", { 0, 2, 1, 0 })), | |
| framework::dataset::make("PadY", { 1, 0, 2, 0 })), | |
| framework::dataset::make("PadZ", { 2, 1, 0, 0 })), | |
| framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), | |
| framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), | |
| framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), | |
| framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), | |
| framework::dataset::make("HasBias", { true, true, true, false })), | |
| framework::dataset::make("Activation", ActivationLayerInfo())), | |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), | |
| framework::dataset::make("DataLayout", DataLayout::NDHWC)), | |
| framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), | |
| framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), | |
| framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) | |
| { | |
| validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE_END() // NDHWC | |
| TEST_SUITE_END() // DirectConvolution3D | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |