From d28b751cf2ba9fcf4ccf294b31bf9d2ec5dfd8bb Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Fri, 6 Jul 2018 12:59:28 +0100 Subject: COMPMID-1340 - Implementing Winograd Convolution Layer 1x5/5x1 on OpenCL NHWC Change-Id: Id5e0795238f77c049df9c109dafc5ef878c1897d Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139234 Tested-by: Jenkins Reviewed-by: Giorgio Arena Reviewed-by: Anthony Barbier --- arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) (limited to 'arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h index 683aa79788..a24ae31d41 100644 --- a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h @@ -59,8 +59,7 @@ public: CLWinogradConvolutionLayer &operator=(CLWinogradConvolutionLayer &&) = default; /** Set the input and output tensors. * - * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for NCHW data layout - * @note: This function only works with 3x3, 3x1, 1x3 and 5x5 kernels along with unit strides for NHWC data layout + * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for both NCHW and NHWC data layout * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], @@ -79,8 +78,7 @@ public: const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradConvolutionLayer * - * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for NCHW data layout - * @note: This function only works with 3x3 and 5x5 kernels along with unit strides for NHWC data layout + * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for both NCHW and NHWC data layout * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], -- cgit v1.2.1