

dtype ("torch.dtype", optional) -- the desired data type
        of returned tensor. Default: if "None", uses a global default
        (see "torch.set_default_tensor_type()"). If dtype is not
        given, infer the data type from the other input arguments. If
        any of start, end, or stop are floating-point, the
        dtype is inferred to be the default dtype, see
        "get_default_dtype()". Otherwise, the dtype is inferred to
        be torch.int64.


layout ("torch.layout", optional) -- the desired layout of
    returned Tensor. Default: "torch.strided".


device ("torch.device", optional) -- the desired device of
    returned tensor. Default: if "None", uses the current device
    for the default tensor type (see
    "torch.set_default_tensor_type()"). "device" will be the CPU
    for CPU tensor types and the current CUDA device for CUDA
    tensor types.



