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Diffstat (limited to 'tests/benchmark/NEON/DirectConvolutionLayer.cpp')
-rw-r--r--tests/benchmark/NEON/DirectConvolutionLayer.cpp16
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,