tf.keras.ops.any

Test whether any array element along a given axis evaluates to True.

View aliases

Main aliases

tf.keras.ops.numpy.any

tf.keras.ops.any(
    x, axis=None, keepdims=False
)

Args
x	Input tensor.
axis	An integer or tuple of integers that represent the axis along which a logical OR reduction is performed. The default (axis=None) is to perform a logical OR over all the dimensions of the input array. axis may be negative, in which case it counts for the last to the first axis.
keepdims	If True, axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. Defaults to False.

Returns
The tensor containing the logical OR reduction over the axis.

Examples:

x = keras.ops.convert_to_tensor([True, False])
keras.ops.any(x)
array(True, shape=(), dtype=bool)

x = keras.ops.convert_to_tensor([[True, False], [True, True]])
keras.ops.any(x, axis=0)
array([ True  True], shape=(2,), dtype=bool)

keepdims=True outputs a tensor with dimensions reduced to one.

>>> x = keras.ops.convert_to_tensor([[True, False], [True, True]])
>>> keras.ops.all(x, keepdims=True)
array([[False]], shape=(1, 1), dtype=bool)