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Diffstat (limited to 'tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp')
| -rw-r--r-- | tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp | 474 |
1 files changed, 474 insertions, 0 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp b/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp new file mode 100644 index 0000000000..2f8c639cea --- /dev/null +++ b/tests/validation/dynamic_fusion/gpu/cl/DepthwiseConv2d.cpp @@ -0,0 +1,474 @@ +/* + * Copyright (c) 2022-2024 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/dynamic_fusion/sketch/gpu/operators/GpuDepthwiseConv2d.h" + +#include "tests/CL/CLAccessor.h" +#include "tests/datasets/DepthwiseConvolutionLayerDataset.h" +#include "tests/datasets/DilatedDepthwiseConvolutionLayerDataset.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/framework/Fixture.h" +#include "tests/framework/Macros.h" +#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h" +#include "tests/validation/Validation.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +const auto depth_multipliers = framework::dataset::make("DepthMultiplier", {1U, 4U}); +const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", {1, 2, 5, 8}); + +TEST_SUITE(CL) +TEST_SUITE(DYNAMIC_FUSION) +TEST_SUITE(DEPTHWISE_CONV2D) + +RelativeTolerance<float> tolerance_f32( + 0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<half_float::half> tolerance_f16(half_float::half( + 0.1)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num = 0.02f; /**< Tolerance number */ + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( // Explanations of failing tests + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type input/weights + TensorInfo(TensorShape(3U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching input feature maps + TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching depth multiplier + TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases size + TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases dimensions + TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // dilation < 1 + TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM16, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM16, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U8, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S8, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U16, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S16, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U32, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S32, DataLayout::NHWC), // Unsupported data type + TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout + TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), // weight dimension > 3 + TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), + }), + framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F16, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM16, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM16, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U8, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S8, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U16, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S16, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::F32, DataLayout::NCHW), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U, 5U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U, 4U, 3U), 1, DataType::F32, DataLayout::NHWC), + })), + framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(4U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NCHW), + TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC), + })), + framework::dataset::make("Padding", { Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(0, 0, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(1, 1, 0, 0), + Padding2D(2, 1, 2, 1), + Padding2D(2, 1, 2, 1), + Padding2D(2, 1, 2, 1), + })), + framework::dataset::make("Stride", { Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(1, 1), + Size2D(2, 3), + Size2D(2, 3), + })), + framework::dataset::make("DepthMultiplier", { 1, + 1, + 3, + 1, + 1, + 2, + 2, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + 3, + })), + framework::dataset::make("Dilation", { Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(0U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(2U, 3U), + })), + framework::dataset::make("Expected", { false, false, false, false, false, false, true, false, + false, false, false, false, false, false, false, false, false, false, + false, false, true, false, true, true, true })), + input_info, weights_info, biases_info, padding, stride, depth_multiplier, dilation, expected) +{ + CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); + GpuWorkloadContext context = GpuWorkloadContext{ &cl_compile_ctx }; + GpuWorkloadSketch sketch{ &context }; + + const ITensorInfo* sketch_input_info = context.create_tensor_info(input_info); + const ITensorInfo* sketch_weights_info = context.create_tensor_info(weights_info); + const ITensorInfo* sketch_biases_info = context.create_tensor_info(biases_info); + + DepthwiseConv2dAttributes attributes {}; + attributes.pad(padding) + .stride(stride) + .dilation(dilation) + .depth_multiplier(depth_multiplier); + + const Status status = GpuDepthwiseConv2d::validate_op(sketch, sketch_input_info, sketch_weights_info, sketch_biases_info, attributes); + const bool res = bool(status); + ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using DynamicFusionGpuDepthwiseConv2dFixture = + DynamicFusionGpuDepthwiseConv2dValidationFixture<CLTensor, CLAccessor, GpuDepthwiseConv2d, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +TEST_SUITE(W3x3) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16); +} + +TEST_SUITE(Dilation) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() // Dilation +TEST_SUITE_END() // W3x3 + +TEST_SUITE(Generic) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} + +TEST_SUITE(Dilation) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +TEST_SUITE_END() // Dilation +TEST_SUITE_END() // Generic +TEST_SUITE_END() // FP16 + +TEST_SUITE(FP32) +TEST_SUITE(W3x3) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +TEST_SUITE(Dilation) + +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", DataLayout::NHWC))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() // Dilation +TEST_SUITE_END() // W3x3 + +TEST_SUITE(Generic) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLargeKernelSize, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset(), + framework::dataset::make("DepthMultiplier", {1})), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +TEST_SUITE(Dilation) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::ALL, + combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionGpuDepthwiseConv2dFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", {DataLayout::NHWC}))) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() // Dilation +TEST_SUITE_END() // Generic +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // DEPTHWISE_CONV2D +TEST_SUITE_END() // DYNAMIC_FUSION +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute |