code: def cudnnSetTensor4dDescriptorEx(tensorDesc, dataType, n, c, h, w, nStride, cStride, hStride, wStride):
      
      Initialize a Tensor descriptor object with strides.
  
      This function initializes a previously created generic Tensor descriptor object into a
      4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
      passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
      define gaps between dimensions.
  
      Parameters
      ----------
      tensorDesc : cudnnTensorDescriptor_t
          Handle to a previously created tensor descriptor.
      dataType : cudnnDataType
          Data type.
      n : int
          Number of images.
      c : int
          Number of feature maps per image.
      h : int
          Height of each feature map.
      w : int
          Width of each feature map.
      nStride : int
          Stride between two consective images.
      cStride : int
          Stride between two consecutive feature maps.
      hStride : int
          Stride between two consecutive rows.
      wStride : int
          Stride between two consecutive columns.
      """
  
      status = _libcudnn.cudnnSetTensor4dDescriptorEx(tensorDesc, dataType, n, c, h, w,
                                                      nStride, cStride, hStride, wStride)
      cudnnCheckStatus(status)
docs: Initialize a Tensor descriptor object with strides.
  
      This function initializes a previously created generic Tensor descriptor object into a
      4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
      passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
      define gaps between dimensions.
  
      Parameters
      ----------
      tensorDesc : cudnnTensorDescriptor_t
          Handle to a previously created tensor descriptor.
      dataType : cudnnDataType
          Data type.
      n : int
          Number of images.
      c : int
          Number of feature maps per image.
      h : int
          Height of each feature map.
      w : int
          Width of each feature map.
      nStride : int
          Stride between two consective images.
      cStride : int
          Stride between two consecutive feature maps.
      hStride : int
          Stride between two consecutive rows.
      wStride : int
          Stride between two consecutive columns.