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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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)