From 71ecf396bb08e302dc06b2c7ed44001894d3a2ea Mon Sep 17 00:00:00 2001 From: Vidhya Sudhan Loganathan Date: Fri, 31 Aug 2018 16:10:16 +0100 Subject: COMPMID-1266 : support for FP16 in CLWinogradConvolutionLayer Added support for FP16 in CLWinogradConvolutionLayer: 5x5 kernels and 3x3 kernels(COMPMID-937) Change-Id: I0f394cbdc978dd04176416e9f612aca3986b09e6 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145537 Tested-by: Jenkins Reviewed-by: Giorgio Arena --- arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h') diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h index 62f55fa91e..012ae1b2b7 100644 --- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h @@ -59,7 +59,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32. + * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F16/F32. * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo */ @@ -77,7 +77,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32. + * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F16/F32. * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo * -- cgit v1.2.1