tfp.experimental.distributions.marginal_fns.ps.reduce_any

Computes tf.math.logical_or of elements across dimensions of a tensor.

tfp.experimental.distributions.marginal_fns.ps.reduce_any(
    input_tensor, axis=None, keepdims=False, name=None
)

This is the reduction operation for the elementwise tf.math.logical_or op.

Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which must be unique. If keepdims is true, the reduced dimensions are retained with length 1.

If axis is None, all dimensions are reduced, and a tensor with a single element is returned.

>>> x = tf.constant([[True,  True], [False, False]])
>>> tf.reduce_any(x)
<tf.Tensor: shape=(), dtype=bool, numpy=True>
>>> tf.reduce_any(x, 0)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True,  True])>
>>> tf.reduce_any(x, 1)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])>