From c42f28d45e9b990276d54880d2cee9c9ee675a41 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Thu, 26 Apr 2018 11:33:05 +0100 Subject: COMPMID-1048 Add NHWC data format support to Winograd input transform 4x4_3x3 https://confluence.arm.com/display/MLENG/Winograd+Input+Transform%3A+NCHW+vs+NHWC+on+OpenCL Change-Id: Iac35a54389266701b7d8f5434a7a37df85b7b187 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/133315 Reviewed-by: Gian Marco Iodice Tested-by: Jenkins --- arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | 2 ++ 1 file changed, 2 insertions(+) (limited to 'arm_compute/core/CL') diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h index b92ff2f60c..58e8291161 100644 --- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h @@ -49,6 +49,7 @@ public: * @note Winograd input transform supports the following configurations: * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3) * * @param[in] input The input tensor to transform. Data types supported: F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input @@ -60,6 +61,7 @@ public: * @note Winograd input transform supports the following configurations: * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3) * * @param[in] input The input tensor to transform. Data types supported: F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input -- cgit v1.2.1