From 876be2a0d11874d871860dbd22481f831d6878f6 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Tue, 3 Jul 2018 12:22:09 +0100 Subject: COMPMID-1339 - Implementing Winograd Convolution Layer 1x5 and 5x1 kernels on OpenCL NCHW Change-Id: Ia293cd89651146a0e27e5f7c74ca9c924807e83c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138707 Tested-by: Jenkins Reviewed-by: Georgios Pinitas --- arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h | 10 ++++++---- 1 file changed, 6 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 594d6028e1..683aa79788 100644 --- a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h @@ -59,8 +59,9 @@ public: CLWinogradConvolutionLayer &operator=(CLWinogradConvolutionLayer &&) = default; /** Set the input and output tensors. * - * @note: This function only works with 3x3 and 5x5 kernels along with unit strides - * @note Some Winograd configurations (i.e. F(4x4, 3x3) and F(4x4, 5x5)) are supported only with enable_fast_math = true + * @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 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], * while every optional dimension from 4 and above represent a batch of inputs. @@ -78,8 +79,9 @@ 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 and 5x5 kernels along with unit strides - * @note Some Winograd configurations (i.e. F(4x4, 3x3) and F(4x4, 5x5)) are supported only with enable_fast_math = true + * @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 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], * while every optional dimension from 4 and above represent a batch of inputs. -- cgit v1.2.1