diff options
Diffstat (limited to 'arm_compute')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.h | 2 | ||||
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.h b/arm_compute/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.h index d4bff661f9..a2c6b51101 100644 --- a/arm_compute/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.h +++ b/arm_compute/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.h @@ -46,7 +46,7 @@ public: NELocallyConnectedMatrixMultiplyKernel &operator=(NELocallyConnectedMatrixMultiplyKernel &&) = default; /** Initialise the kernel's input and output * - * @param[in] input0 First input tensor. Data types supported: F32 + * @param[in] input0 First input tensor. Data types supported: F16, F32 * @param[in] input1 Second input tensor containing the Matrix B. Data type supported: same as @p input0 * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0 */ diff --git a/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h index 1b2b2ee3cf..efb2ff6c8b 100644 --- a/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h +++ b/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h @@ -53,7 +53,7 @@ public: * * @param[in] input Source tensor. 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: F32. + * Data types supported: F16, F32. * @param[in] weights Weights tensor. Weights are 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches]. Data type supported:Same as @p input. * @param[in] biases Biases tensor. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input. * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |