diff options
Diffstat (limited to 'arm_compute')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | 18 | ||||
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLSoftmaxLayer.h | 4 |
2 files changed, 11 insertions, 11 deletions
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h index 0806974ad6..024169a7c5 100644 --- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h @@ -36,8 +36,8 @@ class CLLogits1DMaxKernel : public ICLSimple2DKernel public: /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[out] output Destination tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/F16/F32 + * @param[out] output Destination tensor. Data types supported: same as @p input */ void configure(const ICLTensor *input, ICLTensor *output); }; @@ -58,10 +58,10 @@ public: CLLogits1DShiftExpSumKernel &operator=(CLLogits1DShiftExpSumKernel &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[in] max Max values tensor. Matching input type and channel number. - * @param[out] output Destination tensor. Matching input type and channel number. - * @param[out] sum Sum of 1D logits tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/F16/F32 + * @param[in] max Max values tensor. Data types supported: same as @p input + * @param[out] output Destination tensor. Data types supported: same as @p input + * @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p input */ void configure(const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum); @@ -91,9 +91,9 @@ public: CLLogits1DNormKernel &operator=(CLLogits1DNormKernel &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Matching input type and channel number. - * @param[out] output Destination tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/F16/F32 + * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input + * @param[out] output Destination tensor. Data types supported: same as @p input */ void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output); diff --git a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h index 42cfc06fc4..a5b19bd5e1 100644 --- a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h +++ b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h @@ -49,8 +49,8 @@ public: CLSoftmaxLayer(); /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[out] output Destination tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/F16/F32 + * @param[out] output Destination tensor. Data types supported: same as @p input */ void configure(const ICLTensor *input, ICLTensor *output); |