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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 sg_any(tensor, opt):
 r"""Computes the "logical or" of elements across axis of a tensor. See `tf.reduce_any()` in tensorflow. Args: tensor: A `Tensor` (automatically given by chain). opt: axis : A tuple/list of integers or an integer. The axis to reduce. keep_dims: If true, retains reduced dimensions with length 1. name: If provided, replace current tensor's name. Returns: A `Tensor`. """

    return tf.reduce_any(tensor, axis=opt.axis, keep_dims=opt.keep_dims, name=opt.name)