diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h index b174f493b5..bd544e1537 100644 --- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h @@ -203,7 +203,7 @@ public: CLLogits1DNormKernel &operator=(CLLogits1DNormKernel &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: S32/F16/F32 + * @param[in] input Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported. * @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: QASYMM8 for S32 @p input, or same as @p input * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. @@ -212,7 +212,7 @@ public: /** Set the input and output tensors. * * @param[in] compile_context The compile context to be used. - * @param[in] input Source tensor. Data types supported: S32/F16/F32 + * @param[in] input Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported. * @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: QASYMM8 for S32 @p input, or same as @p input * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. @@ -220,7 +220,7 @@ public: void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DNormKernel * - * @param[in] input Source tensor. Data types supported: S32/F16/F32 + * @param[in] input Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported. * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input * @param[in] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. |