From c9cecc0e565e7b4978cecc92e03e6c93bb8d0cb9 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Fri, 15 Oct 2021 10:23:24 +0100 Subject: Remove legacy GeMM kernels on OpenCL Resolves COMPMID-4446 Change-Id: I1d3c2391b67681f4d3af440826aa95b47a1288a6 Signed-off-by: Gian Marco Iodice Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6444 Reviewed-by: Giorgio Arena Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins --- arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h index 9235a85d2c..2947b4890c 100644 --- a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h +++ b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h @@ -36,7 +36,7 @@ namespace arm_compute * * -# @ref opencl::kernels::ClIm2ColKernel (called when the input comes from a convolutional layer) * -# @ref CLTranspose (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once) - * -# @ref opencl::kernels::ClGemmMatrixMultiplyKernel or @ref CLGEMMLowpMatrixMultiplyCore (if quantized asymmetric) + * -# @ref opencl::ClGemm or @ref CLGEMMLowpMatrixMultiplyCore (if quantized asymmetric) * * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. */ -- cgit v1.2.1