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

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`.

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)

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