tensorflow_backend.py 文件源码

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 tf.reduce_min(x, reduction_indices=axis, keep_dims=keepdims)