diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h | 2 | ||||
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h index f098e18655..87788ba389 100644 --- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h +++ b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h @@ -51,7 +51,7 @@ 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: QS8/F32 + * Data type supported: QS8/QS16/F16/F32 * @param[in] bias 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) * Data type supported: Same as @p input diff --git a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h index 5612e1ae62..e0dac9858b 100644 --- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h @@ -49,7 +49,7 @@ public: /** Set the input, weights, and output tensors. * * @param[in] input The input tensor to convolve. 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/QS16/F16/F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. * The 3rd dimension must be the same as the input's volume 3rd dimension. * Data type supported:Same as @p input. |