what is the params mean in cudnnRNNForwardInference(), and how can I use it ?

AI & Data Science Deep Learning (Training & Inference) cuDNN
1

Hi,

1. I don't understand the params mean in cudnnRNNForwardInference()

cudnnStatus_t
cudnnRNNForwardInference( cudnnHandle_t handle,
const cudnnRNNDescriptor_t rnnDesc,
const int seqLength,
const cudnnTensorDescriptor_t * xDesc,
const void * x,
const cudnnTensorDescriptor_t hxDesc,
const void * hx,
const cudnnTensorDescriptor_t cxDesc,
const void * cx,
const cudnnFilterDescriptor_t wDesc,
const void * w,
const cudnnTensorDescriptor_t *yDesc,
void * y,
const cudnnTensorDescriptor_t hyDesc,
void * hy,
const cudnnTensorDescriptor_t cyDesc,
void * cy,
void * workspace,
size_t workSpaceSizeInBytes)

  1. what’s the order(eg input_gate_weight, forget_gate_weight, cell_weight, and output_gate_weight) in " const void * w"

  2. how can I get (input_gate_weight, forget_gate_weight, cell_weight, and output_gate_weight) from " const void * w"?