tf.keras.ops.all

Test whether all array elements along a given axis evaluate to True.

View aliases

Main aliases

tf.keras.ops.numpy.all

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

Args
x	Input tensor.
axis	An integer or tuple of integers that represent the axis along which a logical AND reduction is performed. The default (axis=None) is to perform a logical AND 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 AND reduction over the axis.

Examples:

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

x = keras.ops.convert_to_tensor([[True, False], [True, True]])
keras.ops.all(x, axis=0)
array([ True False], 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)