tf.reduce_all | TensorFlow v2.0.0 (original) (raw)
tf.reduce_all
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Computes the "logical and" of elements across dimensions of a tensor.
View aliases
Main aliases
tf.reduce_all(
input_tensor, axis=None, keepdims=False, name=None
)
Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each entry in axis. 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.
For example:
x = tf.constant([[True, True], [False, False]])
tf.reduce_all(x) # False
tf.reduce_all(x, 0) # [False, False]
tf.reduce_all(x, 1) # [True, False]
| Args | |
|---|---|
| input_tensor | The boolean tensor to reduce. |
| axis | The dimensions to reduce. If None (the default), reduces all dimensions. Must be in the range [-rank(input_tensor), rank(input_tensor)). |
| keepdims | If true, retains reduced dimensions with length 1. |
| name | A name for the operation (optional). |
| Returns |
|---|
| The reduced tensor. |
Numpy Compatibility
Equivalent to np.all