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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-09 14:21:03 +0000 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-11 12:32:03 +0000 |
| commit | aeebe4ad332bc6dd4797243b39ec6000975429c5 (patch) | |
| tree | 68866e55aa29ad860ee9d222869b4add2551619b /tests/validation/NEON/QuantizationLayer.cpp | |
| parent | ee7c15d8a57b6e1a0a98edf2bb4693024d9c15dd (diff) | |
| download | ComputeLibrary-aeebe4ad332bc6dd4797243b39ec6000975429c5.tar.gz | |
COMPMID-1652 NEON Cleanup and add missing tests
Change-Id: I7b351f18a78ed8a250bf3a91ef320db61984146a
Reviewed-on: https://review.mlplatform.org/485
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'tests/validation/NEON/QuantizationLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/QuantizationLayer.cpp | 35 |
1 files changed, 30 insertions, 5 deletions
diff --git a/tests/validation/NEON/QuantizationLayer.cpp b/tests/validation/NEON/QuantizationLayer.cpp index 26657c4062..30b4a57abf 100644 --- a/tests/validation/NEON/QuantizationLayer.cpp +++ b/tests/validation/NEON/QuantizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -54,6 +54,31 @@ const auto QuantizationShapes = concat(concat(concat(datasets::Small3DShapes(), TEST_SUITE(NEON) TEST_SUITE(QuantizationLayer) +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), // Wrong input data type + TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), // Invalid shape + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type + TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), // Missmatching shapes + TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), // Shrink window + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16), + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), + })), + framework::dataset::make("Expected", { false, false, false, false, false, true})), + input_info, output_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(NEQuantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type) { // Create tensors @@ -95,11 +120,11 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture<float>, framework::D // Validate output validate(Accessor(_target), _reference, tolerance_u8); } -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // QuantizationLayer +TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute |