From d5134364fc4ca40ea65635192e7959327d690a01 Mon Sep 17 00:00:00 2001 From: giuros01 Date: Tue, 14 May 2019 16:12:53 +0100 Subject: COMPMID-2321: PRELU support in NEActivationLayer Change-Id: Ib320ee7772492cd1b86eba624438da826d47b984 Signed-off-by: giuros01 Reviewed-on: https://review.mlplatform.org/c/1224 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Comments-Addressed: Arm Jenkins Reviewed-by: Manuel Bottini Reviewed-by: Gian Marco Iodice --- tests/validation/NEON/PReluLayer.cpp | 218 +++++++++++++++++++++++++++++++++++ 1 file changed, 218 insertions(+) create mode 100644 tests/validation/NEON/PReluLayer.cpp (limited to 'tests') diff --git a/tests/validation/NEON/PReluLayer.cpp b/tests/validation/NEON/PReluLayer.cpp new file mode 100644 index 0000000000..95dbf33393 --- /dev/null +++ b/tests/validation/NEON/PReluLayer.cpp @@ -0,0 +1,218 @@ +/* + * Copyright (c) 2019 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/NEPReluLayer.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/ShapeDatasets.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/ElementwiseOperationsFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +RelativeTolerance tolerance_fp32(0.000001f); + +constexpr unsigned int num_elems_processed_per_iteration = 16; +/** Input data sets **/ +const auto PReluLayerQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("DataType", + DataType::QASYMM8)); +const auto PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataType", DataType::F32)); + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +RelativeTolerance tolerance_fp16(0.001f); + +const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataType", DataType::F16)); + +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(PReluLayer) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + }), + framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, true, false, false, false})), + input1_info, input2_info, output_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(NEPReluLayer::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template +using NEPReluLayerFixture = PReluLayerValidationFixture; + +template +using NEPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture; + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), + shape) +{ + // Create tensors + Tensor ref_src1 = create_tensor(shape, DataType::QASYMM8); + Tensor ref_src2 = create_tensor(shape, DataType::QASYMM8); + Tensor dst = create_tensor(shape, DataType::QASYMM8); + + // Create and Configure function + NEPReluLayer prelu; + prelu.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), + PReluLayerQASYMM8Dataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) + + ) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), + PReluLayerQASYMM8Dataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) + + ) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE(Float) +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16, 0.01); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16, 0.01); +} +TEST_SUITE_END() // FP16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + +TEST_SUITE(FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), + shape) +{ + // Create tensors + Tensor ref_src1 = create_tensor(shape, DataType::F32); + Tensor ref_src2 = create_tensor(shape, DataType::F32); + Tensor dst = create_tensor(shape, DataType::F32); + + // Create and Configure function + NEPReluLayer prelu; + prelu.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} + +template +using NEPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture; + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEPReluLayerBroadcastFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), + PReluLayerFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEPReluLayerBroadcastFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), + PReluLayerFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // PReluLayer +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1