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-rw-r--r--tests/validation/NEON/DeconvolutionLayer.cpp10
1 files changed, 6 insertions, 4 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp
index eb643b8e7c..1b74400676 100644
--- a/tests/validation/NEON/DeconvolutionLayer.cpp
+++ b/tests/validation/NEON/DeconvolutionLayer.cpp
@@ -22,6 +22,7 @@
* SOFTWARE.
*/
#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
@@ -53,6 +54,7 @@ const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::
const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
* framework::dataset::make("PadY", 0, 1) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
+const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW });
} // namespace
TEST_SUITE(NEON)
@@ -68,7 +70,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::Sm
const TensorShape weights_shape(kernel_size_x, kernel_size_y, input_shape.z(), num_kernels);
const TensorShape bias_shape(num_kernels);
auto out_dim = deconvolution_output_dimensions(input_shape.x(), input_shape.y(), kernel_size_x, kernel_size_y, 1, 1, 1, 1);
- TensorShape output_shape = deconvolution_output_shape(out_dim, input_shape, weights_shape);
+ TensorShape output_shape = compute_deconvolution_output_shape(out_dim, TensorInfo(input_shape, 1, data_type), TensorInfo(weights_shape, 1, data_type));
// Create tensors
Tensor src = create_tensor<Tensor>(input_shape, data_type, 1);
@@ -172,7 +174,7 @@ TEST_SUITE(Float)
TEST_SUITE(FP32)
TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::ALL, combine(data4x4, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::ALL, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
@@ -181,7 +183,7 @@ TEST_SUITE_END()
TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL, combine(data3x3, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);
@@ -189,7 +191,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture3x3<float>, framework::Da
TEST_SUITE_END()
TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::ALL, combine(data1x1, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::ALL, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance_fp32);