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-rw-r--r--tests/validation/CL/DirectConvolutionLayer.cpp4
-rw-r--r--tests/validation/CL/PoolingLayer.cpp12
-rw-r--r--tests/validation/NEON/DirectConvolutionLayer.cpp4
-rw-r--r--tests/validation/NEON/PoolingLayer.cpp9
-rw-r--r--tests/validation/fixtures/PoolingLayerFixture.h13
-rw-r--r--tests/validation/reference/DepthwiseConvolutionLayer.cpp8
6 files changed, 35 insertions, 15 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index 4af825e526..bf8b4057ee 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -56,8 +56,8 @@ constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for qu
const auto data = combine(datasets::SmallDirectConvolutionShapes(),
combine(framework::dataset::make("StrideX", 1, 3),
combine(framework::dataset::make("StrideY", 1, 3),
- combine(concat(combine(framework::dataset::make("PadX", 0),
- combine(framework::dataset::make("PadY", 0),
+ combine(concat(combine(framework::dataset::make("PadX", 0, 1),
+ combine(framework::dataset::make("PadY", 0, 1),
framework::dataset::make("KernelSize", 1))),
combine(framework::dataset::make("PadX", 0, 2),
combine(framework::dataset::make("PadY", 0, 2),
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp
index dc9604423f..9da4c55c78 100644
--- a/tests/validation/CL/PoolingLayer.cpp
+++ b/tests/validation/CL/PoolingLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
+#include "tests/datasets/PoolingLayerDataset.h"
#include "tests/datasets/PoolingTypesDataset.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Asserts.h"
@@ -43,12 +44,6 @@ namespace validation
{
namespace
{
-/** Failing data set */
-const auto PoolingLayerDatasetSpecial = ((((framework::dataset::make("Shape", TensorShape{ 60U, 52U, 3U, 5U })
- * framework::dataset::make("PoolType", PoolingType::AVG))
- * framework::dataset::make("PoolingSize", Size2D(100, 100)))
- * framework::dataset::make("PadStride", PadStrideInfo(5, 5, 50, 50)))
- * framework::dataset::make("ExcludePadding", true));
/** Input data set for floating-point data types */
const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(7, 7), Size2D(9, 9), Size2D(5, 7), Size2D(7, 9) })),
framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
@@ -121,9 +116,12 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
template <typename T>
using CLPoolingLayerFixture = PoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
+template <typename T>
+using CLSpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
+
TEST_SUITE(Float)
TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSpecial, CLPoolingLayerFixture<float>, framework::DatasetMode::ALL, PoolingLayerDatasetSpecial * framework::dataset::make("DataType", DataType::F32))
+FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp
index f51752d946..57e030c349 100644
--- a/tests/validation/NEON/DirectConvolutionLayer.cpp
+++ b/tests/validation/NEON/DirectConvolutionLayer.cpp
@@ -49,8 +49,8 @@ constexpr AbsoluteTolerance<float> tolerance_fp16(0.01f); /**< Tolerance for ha
constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
/** Direct convolution data set. */
-const auto data_pad_f32 = concat(concat(combine(framework::dataset::make("PadX", 0),
- combine(framework::dataset::make("PadY", 0),
+const auto data_pad_f32 = concat(concat(combine(framework::dataset::make("PadX", 0, 1),
+ combine(framework::dataset::make("PadY", 0, 1),
framework::dataset::make("KernelSize", 1))),
combine(framework::dataset::make("PadX", 0, 2),
combine(framework::dataset::make("PadY", 0, 2),
diff --git a/tests/validation/NEON/PoolingLayer.cpp b/tests/validation/NEON/PoolingLayer.cpp
index 4697d4db01..350a7b883b 100644
--- a/tests/validation/NEON/PoolingLayer.cpp
+++ b/tests/validation/NEON/PoolingLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
+#include "tests/datasets/PoolingLayerDataset.h"
#include "tests/datasets/PoolingTypesDataset.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Asserts.h"
@@ -119,8 +120,16 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
template <typename T>
using NEPoolingLayerFixture = PoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
+template <typename T>
+using NESpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
+
TEST_SUITE(Float)
TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f32);
+}
FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
DataType::F32))))
{
diff --git a/tests/validation/fixtures/PoolingLayerFixture.h b/tests/validation/fixtures/PoolingLayerFixture.h
index f101199365..3bbb403ae7 100644
--- a/tests/validation/fixtures/PoolingLayerFixture.h
+++ b/tests/validation/fixtures/PoolingLayerFixture.h
@@ -164,6 +164,18 @@ public:
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SpecialPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ void setup(TensorShape src_shape, TensorShape dst_shape, PoolingLayerInfo pool_info, DataType data_type)
+ {
+ ARM_COMPUTE_UNUSED(dst_shape);
+ PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type, 0, QuantizationInfo());
+ }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class GlobalPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
@@ -173,6 +185,7 @@ public:
PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type), data_type, 0, QuantizationInfo());
}
};
+
} // namespace validation
} // namespace test
} // namespace arm_compute
diff --git a/tests/validation/reference/DepthwiseConvolutionLayer.cpp b/tests/validation/reference/DepthwiseConvolutionLayer.cpp
index ffea1bcf89..b2a7067709 100644
--- a/tests/validation/reference/DepthwiseConvolutionLayer.cpp
+++ b/tests/validation/reference/DepthwiseConvolutionLayer.cpp
@@ -143,10 +143,10 @@ SimpleTensor<uint8_t> depthwise_convolution(const SimpleTensor<uint8_t> &src, co
const int filter_half_width = filter_width / 2;
const int filter_half_height = filter_height / 2;
- const int pad_left = std::min(static_cast<int>(conv_info.pad_left()), filter_half_width);
- const int pad_top = std::min(static_cast<int>(conv_info.pad_top()), filter_half_height);
- const int pad_right = std::min(static_cast<int>(conv_info.pad_right()), filter_half_width);
- const int pad_bottom = std::min(static_cast<int>(conv_info.pad_bottom()), filter_half_height);
+ const int pad_left = conv_info.pad_left();
+ const int pad_top = conv_info.pad_top();
+ const int pad_right = conv_info.pad_right();
+ const int pad_bottom = conv_info.pad_bottom();
const int minimum_x = -pad_left + filter_half_width;
const int minimum_y = -pad_top + filter_half_height;
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-13 06:28:57 +0000