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authorGeorgios Pinitas <georgios.pinitas@arm.com>2021-08-16 12:38:54 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-08-20 16:26:16 +0000
commit19884630c37ae9de2f65a88ea2cda5630a551bad (patch)
tree0fdffe84c5d66ffe8a1d320b798a247afa1dfdae /tests/validation/NEON/ConvolutionLayer.cpp
parent73df9310f4e94e43597f283307e3cde0653d8bae (diff)
downloadComputeLibrary-19884630c37ae9de2f65a88ea2cda5630a551bad.tar.gz
Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d
Renaming the gemm-based convolution operators to accomodate for new operators with higher convolution dimensonality Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Id2f2cf11404221f0e87baa0e5d08ad5d63eaf78e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6113 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
-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);