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Diffstat (limited to 'tests/validation/NEON/DeconvolutionLayer.cpp')
-rw-r--r--tests/validation/NEON/DeconvolutionLayer.cpp71
1 files changed, 44 insertions, 27 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp
index 34a1bf5a45..727f501393 100644
--- a/tests/validation/NEON/DeconvolutionLayer.cpp
+++ b/tests/validation/NEON/DeconvolutionLayer.cpp
@@ -43,8 +43,8 @@ namespace validation
{
namespace
{
-constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
-constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
+constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
+constexpr AbsoluteTolerance<float> tolerance_qasymm8(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const RelativeTolerance<half_float::half> tolerance_fp16(half_float::half(0.2f)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/
@@ -63,6 +63,8 @@ const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::
* framework::dataset::make("PadY", 0, 1) * framework::dataset::make("NumKernels", { 3 });
const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
+
+const auto add_bias_dataset = framework::dataset::make("AddBias", { true, false });
} // namespace
TEST_SUITE(NEON)
@@ -166,30 +168,35 @@ using NEDeconvolutionLayerFixture1x1 = DeconvolutionValidationFixture<Tensor, Ac
TEST_SUITE(Float)
TEST_SUITE(FP32)
TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
}
TEST_SUITE_END() // W4x4
TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F32)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit, framework::dataset::make("DataType",
+ DataType::F32)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
}
TEST_SUITE_END() // W3x3
TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
@@ -200,30 +207,35 @@ TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp16);
}
TEST_SUITE_END() // W4x4
TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F16)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit, framework::dataset::make("DataType",
+ DataType::F16)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp16);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp16);
}
TEST_SUITE_END() // W3x3
TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)),
- data_layouts_dataset))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)),
+ data_layouts_dataset),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp16);
@@ -247,10 +259,11 @@ TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType",
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(data4x4, framework::dataset::make("DataType",
DataType::QASYMM8)),
data_layouts_dataset),
- framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))))
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -258,18 +271,21 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, fr
TEST_SUITE_END() // W4x4
TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit, framework::dataset::make("DataType",
- DataType::QASYMM8)),
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(data3x3_precommit,
+ framework::dataset::make("DataType",
+ DataType::QASYMM8)),
data_layouts_dataset),
- framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))))
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType",
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(data3x3, framework::dataset::make("DataType",
DataType::QASYMM8)),
data_layouts_dataset),
- framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))))
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -277,10 +293,11 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t
TEST_SUITE_END() // W3x3
TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType",
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(data1x1, framework::dataset::make("DataType",
DataType::QASYMM8)),
data_layouts_dataset),
- framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))))
+ framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))),
+ add_bias_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
generated by cgit v1.2.1 (git 2.23.0) at 2024-04-29 03:55:30 +0000