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| author | Gian Marco <gianmarco.iodice@arm.com> | 2017-11-27 16:35:28 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:17 +0000 |
| commit | c82799003fbfdc5bb9526ff944e41eaae23e3f03 (patch) | |
| tree | 0114dad5409749b9d45b222d7418f9fe6fcc3071 /arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h | |
| parent | e8895f8ba61c8f2a00e1207a51a9c991f3291d24 (diff) | |
| download | ComputeLibrary-c82799003fbfdc5bb9526ff944e41eaae23e3f03.tar.gz | |
COMPMID-556 - Add QASYMM8 support for missing OpenCL kernels
- CLCol2ImKernel
- CLGEMMIntereleave4x4Kernel
- CLIm2ColKernel
- CLTransposeKernel
- CLWeightsReshapeKernel
Change-Id: I2c6066f59f078cfe88ed0f3d2f61db137d375159
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110790
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@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 07c7c772c3..ec8940ef7e 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/QS16/F16/F32 + * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/QASYMM8/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 |