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-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 4332db605d..2178b9b209 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -29,7 +29,7 @@
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "src/core/helpers/MemoryHelpers.h"
-#include "src/runtime/cpu/operators/CpuGemmConvolution.h"
+#include "src/runtime/cpu/operators/CpuGemmConv2d.h"
#include "src/runtime/cpu/operators/CpuGemmDirectConv2d.h"
#include "src/runtime/cpu/operators/CpuWinogradConv2d.h"
#include "tests/NEON/Accessor.h"
@@ -510,7 +510,7 @@ using NEGEMMConvolutionLayerFixture = ConvolutionValidationFixture<Tensor, Acces
template <typename T>
using NEGEMMConvolutionLayerMixedDataLayoutFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T, true>;
-/** Test case for memory injection in @ref cpu::CpuGemmConvolution.
+/** Test case for memory injection in @ref cpu::CpuGemmConv2d.
*
* Configure the operator once and inject memory at run-time in multiple executions.
*
@@ -519,7 +519,7 @@ using NEGEMMConvolutionLayerMixedDataLayoutFixture = ConvolutionValidationFixtur
*/
TEST_CASE(MemoryInjection, framework::DatasetMode::ALL)
{
- auto conv = std::make_unique<cpu::CpuGemmConvolution>();
+ auto conv = std::make_unique<cpu::CpuGemmConv2d>();
const auto src_info = TensorInfo(TensorShape(1U, 5U, 2U), 1, DataType::F32, DataLayout::NCHW);
const auto weight_info = TensorInfo(TensorShape(1U, 3U, 2U, 3U), 1, DataType::F32, DataLayout::NCHW);
const auto bias_info = TensorInfo(TensorShape(3U), 1, DataType::F32, DataLayout::NCHW);