| /* |
| * 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(0.05f); /**< 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 |