def min(x, axis=None, keepdims=False):
"""Minimum value in a tensor.
Arguments:
x: A tensor or variable.
axis: An integer, the axis to find minimum values.
keepdims: A boolean, whether to keep the dimensions or not.
If `keepdims` is `False`, the rank of the tensor is reduced
by 1. If `keepdims` is `True`,
the reduced dimension is retained with length 1.
Returns:
A tensor with miminum values of `x`.
"""
axis = _normalize_axis(axis, ndim(x))
return math_ops.reduce_min(x, reduction_indices=axis, keep_dims=keepdims)
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