aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/NEON/DirectConvolutionLayer.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'tests/validation/NEON/DirectConvolutionLayer.cpp')
-rw-r--r--tests/validation/NEON/DirectConvolutionLayer.cpp21
1 files changed, 14 insertions, 7 deletions
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp
index 7dad653fb5..f9e9d8b60f 100644
--- a/tests/validation/NEON/DirectConvolutionLayer.cpp
+++ b/tests/validation/NEON/DirectConvolutionLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -78,10 +78,17 @@ const auto data_f16 = combine(datasets::SmallDirectConvolutionShapes(),
combine(framework::dataset::make("StrideY", { 1, 2, 3 }),
data_pad_f16)));
-const auto data_f32_nightly = combine(data_f32, framework::dataset::make("NumKernels", { 1, 4, 8, 16 }));
-const auto data_f16_nightly = combine(data_f16, framework::dataset::make("NumKernels", { 1, 4, 8, 16 }));
-const auto data_f32_precommit = combine(data_f32, framework::dataset::make("NumKernels", { 4 }));
-const auto data_f16_precommit = combine(data_f16, framework::dataset::make("NumKernels", { 4 }));
+const auto data = combine(datasets::SmallDirectConvolutionShapes(),
+ combine(framework::dataset::make("StrideX", { 1 }),
+ combine(framework::dataset::make("StrideY", { 1 }),
+ combine(framework::dataset::make("PadX", { 1 }),
+ combine(framework::dataset::make("PadY", { 1 }),
+ framework::dataset::make("KernelSize", 3))))));
+
+const auto data_f32_nightly = combine(data_f32, framework::dataset::make("NumKernels", { 1, 4, 8 }));
+const auto data_f16_nightly = combine(data_f16, framework::dataset::make("NumKernels", { 1, 4, 8 }));
+
+const auto data_precommit = combine(data, framework::dataset::make("NumKernels", { 1 }));
/** Activation function Dataset*/
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
@@ -171,7 +178,7 @@ using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<Tenso
TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f16_precommit, framework::dataset::make("DataType",
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make("DataType",
DataType::F16)),
ActivationFunctionsDataset),
framework::dataset::make("DataLayout", DataLayout::NCHW)))
@@ -190,7 +197,7 @@ TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f32_precommit, framework::dataset::make("DataType",
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make("DataType",
DataType::F32)),
ActivationFunctionsDataset),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))