diff options
Diffstat (limited to 'tests/validation/CL')
-rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index 56e10f01b3..8b9db91264 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -114,7 +114,7 @@ using CLConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAcces TEST_SUITE(Float) TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16))) { @@ -122,7 +122,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<half>, framework::Dat validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16))) { @@ -133,7 +133,7 @@ TEST_SUITE_END() TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32))) { @@ -141,7 +141,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<float>, framework::Da validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32))) { @@ -158,7 +158,7 @@ TEST_SUITE(FixedPoint) TEST_SUITE(QS8) // We test for fixed point precision [4,6] FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QS8)), framework::dataset::make("FractionalBits", 4, 7))) @@ -167,7 +167,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture<int8_t>, fr validate(CLAccessor(_target), _reference, tolerance_fixed); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QS8)), framework::dataset::make("FractionalBits", 4, 7))) @@ -180,7 +180,7 @@ TEST_SUITE_END() TEST_SUITE(QS16) // Testing for fixed point position [1,14) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QS16)), framework::dataset::make("FractionalBits", 1, 14))) @@ -189,7 +189,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture<int16_t>, f validate(CLAccessor(_target), _reference, tolerance_fixed); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QS16)), framework::dataset::make("FractionalBits", 1, 14))) |