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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 get_tensors_by_names(names):
 """ Get a list of tensors in the default graph by a list of names. Args: names (list):
 """

    ret = []
    G = tfv1.get_default_graph()
    for n in names:
        opn, varn = get_op_tensor_name(n)
        ret.append(G.get_tensor_by_name(varn))
    return ret