From aea14c63e2efeda9d5f7492099389d439c65204f Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Thu, 3 Jan 2019 11:10:25 +0000 Subject: COMPMID-1764 NEON: Implement ArgMax/ArgMin Change-Id: Ibe23aa90b36ffd8553d1d1c35fada5d300fab829 Reviewed-on: https://review.mlplatform.org/475 Reviewed-by: Isabella Gottardi Tested-by: Arm Jenkins Reviewed-by: Giuseppe Rossini --- tests/validation/NEON/ArgMinMax.cpp | 167 ++++++++++++++++++++++++++++++++++++ 1 file changed, 167 insertions(+) create mode 100644 tests/validation/NEON/ArgMinMax.cpp (limited to 'tests/validation/NEON') diff --git a/tests/validation/NEON/ArgMinMax.cpp b/tests/validation/NEON/ArgMinMax.cpp new file mode 100644 index 0000000000..611495a41d --- /dev/null +++ b/tests/validation/NEON/ArgMinMax.cpp @@ -0,0 +1,167 @@ +/* + * Copyright (c) 2018-2019 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/NEArgMinMaxLayer.h" +#include "arm_compute/runtime/Tensor.h" +#include "arm_compute/runtime/TensorAllocator.h" + +#include "tests/NEON/Accessor.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/datasets/SplitDataset.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/ArgMinMaxFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(NEON) +TEST_SUITE(ArgMinMax) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis + TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape + TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) // Invalid operation + }), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32), + TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) + })), + framework::dataset::make("Axis", { 4, 0, 2, 0 })), + framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM })), + framework::dataset::make("Expected", { false, false, true, false })), + input_info, output_info, axis, operation, expected) +{ + const Status status = NEArgMinMaxLayer::validate(&input_info.clone()->set_is_resizable(false), axis, &output_info.clone()->set_is_resizable(false), operation); + ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +DATA_TEST_CASE(Configuration, + framework::DatasetMode::ALL, + combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), + shape, data_type) +{ + // Create tensors + Tensor ref_src = create_tensor(shape, data_type); + Tensor dst; + + // Create and Configure function + NEArgMinMaxLayer arg_min_max_layer; + arg_min_max_layer.configure(&ref_src, 1, &dst, ReductionOperation::ARG_IDX_MAX); + + // Validate valid region + TensorShape output_shape = shape; + output_shape.set(1, 1); + const ValidRegion valid_region = shape_to_valid_region(output_shape); + validate(dst.info()->valid_region(), valid_region); +} + +template +using NEArgMinMaxValidationFixture = ArgMinMaxValidationFixture; + +TEST_SUITE(Float) +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEArgMinMaxValidationFixture, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEArgMinMaxValidationFixture, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // FP16 +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +template +using NEArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture; + +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEArgMinMaxQuantizedValidationFixture, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), + framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEArgMinMaxQuantizedValidationFixture, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), + framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEArgMinMaxValidationFixture, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEArgMinMaxValidationFixture, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // ArgMinMax +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1