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| author | Isabella Gottardi <isabella.gottardi@arm.com> | 2018-01-18 15:50:39 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:45:00 +0000 |
| commit | e6630e4063fc3aa4312a2c8d094318b09ad2c3f5 (patch) | |
| tree | 39ae08686fc3201fd094e3f84b8dd9abd5bf07ea /arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h | |
| parent | b99d57df435ec1f2a775b3b06a44a68a2aac8df9 (diff) | |
| download | ComputeLibrary-e6630e4063fc3aa4312a2c8d094318b09ad2c3f5.tar.gz | |
COMPMID-790 - NEON: Add QASYMM8 support to Convolution
Change-Id: Iec82a91ad351cfe8d07d0976a24bd42f4703177a
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116833
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h index e92829c516..1a7525bfc7 100644 --- a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h +++ b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h @@ -75,18 +75,20 @@ 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/F32 + * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QASYMM8/QS16/F32 * @param[in] bias 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 + * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. * @param[out] output The output tensor. Data types supported: Same as @p input */ void configure(const ITensor *input, const ITensor *bias, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NEWeightsReshapeKernel * * @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/QASYMM8/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 + * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. * @param[in] output The output tensor. Should be a 2D Tensor. Data types supported: Same as @p input * * @return a status |