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/CLWinogradOutputTransformKernel.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h') diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h index bab93de4b0..3bbbb5834c 100644 --- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h @@ -59,7 +59,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo @@ -78,7 +78,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_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