From 19884630c37ae9de2f65a88ea2cda5630a551bad Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 16 Aug 2021 12:38:54 +0100 Subject: 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 Change-Id: Id2f2cf11404221f0e87baa0e5d08ad5d63eaf78e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6113 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins --- tests/validation/NEON/ConvolutionLayer.cpp | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'tests/validation/NEON/ConvolutionLayer.cpp') 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 using NEGEMMConvolutionLayerMixedDataLayoutFixture = ConvolutionValidationFixture; -/** 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(); + auto conv = std::make_unique(); 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); -- cgit v1.2.1