tf.math.reduce_all | TensorFlow v2.16.1 (original) (raw)
tf.math.reduce_all
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Computes tf.math.logical_and of elements across dimensions of a tensor.
View aliases
Main aliases
tf.math.reduce_all(
input_tensor, axis=None, keepdims=False, name=None
)
Used in the notebooks
| Used in the guide | Used in the tutorials |
|---|---|
| Extension types | Neural machine translation with attention |
This is the reduction operation for the elementwise tf.math.logical_and op.
Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which must be unique. 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.math.reduce_all(x) <tf.Tensor: shape=(), dtype=bool, numpy=False> >>> tf.math.reduce_all(x, 0) <tf.Tensor: shape=(2,), dtype=bool, numpy=array([False, False])> >>> tf.math.reduce_all(x, 1) <tf.Tensor: shape=(2,), dtype=bool, numpy=array([ 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