diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h index 9340e9a8d8..1947a98ba3 100644 --- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h +++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h @@ -51,11 +51,11 @@ public: /** Set the accumulate buffer and the biases of the kernel. * * @param[in, out] input Input to add the bias to. If @p output is not specified then accumulation is done in-place. - * Data type supported: S32/QS16/QS32/F16/F32 + * Data type supported: S32/QS32/F16/F32 * @param[in] bias (Optional) The shared bias tensor to add. It must be 1D Tensor. Data type supported: Same as @p input * @param[out] output (Optional) If the output tensor is specified the accumulation is done out-of-place. (Defaults to nullptr) * Required parameter if output is of QASYMM8 type. - * Data types supported: QS8/QASYMM8/QS16/F16/F32 + * Data types supported: QASYMM8/F16/F32 * @param[in] result_fixedpoint_multiplier (Optional)Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add * @param[in] result_shift (Optional)Integer value used to round to nearest division by a power-of-two the result after the fixed point multiplication * @param[in] result_offset_after_shift (Optional)Offset to be applied to result before converting it back to QASYMM8 @@ -65,10 +65,10 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayerOutputStageKernel * * @param[in] input Input to add the bias to. If @p output is not specified then accumulation is done in-place. - * Data type supported: QS16/QS32/F16/F32 + * Data type supported: QS32/F16/F32 * @param[in] bias (Optional) The shared bias tensor to add. It must be 1D Tensor. Data type supported: Same as @p input * @param[in] output (Optional) If the output tensor is specified the accumulation is done out-of-place. (Defaults to nullptr) - * Data type supported: QS8/QS16/F16/F32 + * Data type supported: F16/F32 * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *bias = nullptr, const ITensorInfo *output = nullptr); |