diff options
author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-07-05 20:05:23 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
commit | 7d323a6adca97c130a0fc7c6299c75d581906edd (patch) | |
tree | 666be55f734cf5493641f3d99ba0afd12cf362f7 /arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h | |
parent | ab0a77edcb9f48de2aad216323b791d0dd95a3cd (diff) | |
download | ComputeLibrary-7d323a6adca97c130a0fc7c6299c75d581906edd.tar.gz |
COMPMID-440, COMPMID-441 - Port CLConvolutionLayer and CLFullyConnectedLayer to support 16 bit fixed point
Change-Id: I8d8ef2cb5ec453eb83fba8d8077550b96ed4bceb
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79837
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h index 8732c6094b..099348fb15 100644 --- a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h +++ b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h @@ -47,7 +47,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, - * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/F16/F32 + * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/F16/F32 * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input * @param[out] output The output tensor. Should be a 2D Tensor. Data types supported: Same as @p input |