diff options
| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-01-17 12:55:26 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:43:42 +0000 |
| commit | 51a673020af96273ab9d760ea7473a62aad5460f (patch) | |
| tree | c98e7988194d11ebf413ad896abadb1ec47ccd52 /tests/benchmark/NEON/DirectConvolutionLayer.cpp | |
| parent | 944d3f79baef6878916c1ec082a71768f0bf3409 (diff) | |
| download | ComputeLibrary-51a673020af96273ab9d760ea7473a62aad5460f.tar.gz | |
COMPMID-832: Clean up tests.
Removes QS8 and QS16 tests from benchmarks.
Change-Id: Idf82d33159b2066d50ac2d454140938e43160779
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116626
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark/NEON/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/benchmark/NEON/DirectConvolutionLayer.cpp | 16 |
1 files changed, 7 insertions, 9 deletions
diff --git a/tests/benchmark/NEON/DirectConvolutionLayer.cpp b/tests/benchmark/NEON/DirectConvolutionLayer.cpp index 4b93eeabc6..7854f618b9 100644 --- a/tests/benchmark/NEON/DirectConvolutionLayer.cpp +++ b/tests/benchmark/NEON/DirectConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,11 +47,9 @@ namespace { // Special data types for networks that need 5x5 direct convolution, which does not support Fixed Point #ifdef ARM_COMPUTE_ENABLE_F16 -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto data_types_no_fixed = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_F16 */ -const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto data_types_no_fixed = framework::dataset::make("DataType", { DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_F16 */ } // namespace @@ -60,11 +58,11 @@ using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEDirectConvol TEST_SUITE(NEON) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, @@ -77,11 +75,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionL TEST_SUITE(NIGHTLY) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types_no_fixed), + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, |