tf.keras.ops.all
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Test whether all array elements along a given axis evaluate to True.
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)
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.all\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/numpy.py#L198-L232) |\n\nTest whether all array elements along a given axis evaluate to `True`.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.ops.numpy.all`](https://www.tensorflow.org/api_docs/python/tf/keras/ops/all)\n\n\u003cbr /\u003e\n\n tf.keras.ops.all(\n x, axis=None, keepdims=False\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | Input tensor. |\n| `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. |\n| `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`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The tensor containing the logical AND reduction over the `axis`. ||\n\n\u003cbr /\u003e\n\n#### Examples:\n\n x = keras.ops.convert_to_tensor([True, False])\n keras.ops.all(x)\n array(False, shape=(), dtype=bool)\n\n x = keras.ops.convert_to_tensor([[True, False], [True, True]])\n keras.ops.all(x, axis=0)\n array([ True False], shape=(2,), dtype=bool)\n\n`keepdims=True` outputs a tensor with dimensions reduced to one. \n\n \u003e\u003e\u003e x = keras.ops.convert_to_tensor([[True, False], [True, True]])\n \u003e\u003e\u003e keras.ops.all(x, keepdims=True)\n array([[False]], shape=(1, 1), dtype=bool)"]]
View source on GitHub