def cudnnAddTensor(handle, alpha, biasDesc, biasData, beta, srcDestDesc, srcDestData):
    """"
    Tensor Bias addition : srcDest = alpha * bias + beta * srcDestDesc.

    This function adds the scaled values of one tensor to another tensor. The amount
    of data described by the biasDesc descriptor must match exactly the amount of data
    needed to perform the addition.

    Parameters
    ----------
    handle : cudnnHandle
        Handle to a cuDNN context.
    alpha : float
        Scalar factor to be applied to every data element of the bias tensor before it is added
        to the output tensor.
    biasDesc : cudnnTensorDescriptor
        Handle to a previoulsy initialized tensor descriptor.
    biasData : void_p
        Pointer to data of the tensor described by biasDesc.
    beta: float
        Scaling factor which is applied on every element of the output tensor prior to adding
        the result of the operation. Note that if beta is zero, the output is not read and can
        contain any uninitialized data (including Nan numbers).
    srcDestDesc : cudnnTensorDescriptor
        Handle to a previoulsy initialized tensor descriptor.
    srcDestData : void_p
        Pointer to data of the tensor described by srcDestDesc.
    """

    dataType, _, _, _, _, _, _, _, _ = cudnnGetTensor4dDescriptor(srcDestDesc)
    if dataType == cudnnDataType['CUDNN_DATA_DOUBLE']:
        alphaRef = ctypes.byref(ctypes.c_double(alpha))
        betaRef = ctypes.byref(ctypes.c_double(beta))
    else:
        alphaRef = ctypes.byref(ctypes.c_float(alpha))
        betaRef = ctypes.byref(ctypes.c_float(beta))

    status = _libcudnn.cudnnAddTensor(handle, alphaRef, biasDesc,
                                        biasData, betaRef,
                                        srcDestDesc, srcDestData)
    cudnnCheckStatus(status)