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author | giuros01 <giuseppe.rossini@arm.com> | 2019-04-01 12:07:02 +0100 |
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committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-04-03 09:15:23 +0000 |
commit | 3bfacb24a9b6eced921027fd1c1e3cb3757db9c7 (patch) | |
tree | 98b1923502bd5623e283ad59261e95890427214a /arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h | |
parent | dbfc2dc182f90af5cad6fc283fff817ac7258a19 (diff) | |
download | ComputeLibrary-3bfacb24a9b6eced921027fd1c1e3cb3757db9c7.tar.gz |
COMPMID-1318: Implementing Winograd 7x7 NHWC on OpenCL - Part III
Change-Id: I7ebf09cc12fb117834faf88cdd556d2a66eacf07
Signed-off-by: giuros01 <giuseppe.rossini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/926
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h index f11eb2a335..4ae75a5ace 100644 --- a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -59,7 +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 both NCHW and NHWC data layout + * @note: This function only works with 3x3,3x1,1x3,5x5,5x1,1x5,7x1 and 1x7 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], |