From 659abc022b42ad8d11f58b3f3b7b4175f3cf1038 Mon Sep 17 00:00:00 2001 From: Pablo Tello Date: Thu, 22 Jun 2017 16:00:16 +0100 Subject: COMPMID-421: Added FP16 support in Convolutional layer (Neon) The test suite for FP16 is conditionally compiled in when the target platform is arch=arm64-8.2-a Change-Id: I1686157e83809a00a91058bff80dbecf692fb356 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78740 Tested-by: Kaizen Reviewed-by: Anthony Barbier --- arm_compute/core/NEON/kernels/NEIm2ColKernel.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'arm_compute/core/NEON/kernels') diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h index ebaafb467f..e219ce2e0e 100644 --- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h +++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h @@ -72,7 +72,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/F16/F32 * @param[out] output The output tensor. Data types supported: Same as @p input * @param[in] convolved_dims The convolved output dimensions. * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. -- cgit v1.2.1