tf.keras.backend.stack

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Stacks a list of rank R tensors into a rank R+1 tensor.

Aliases:

tf.keras.backend.stack(
    x,
    axis=0
)

Arguments:

x: List of tensors.
axis: Axis along which to perform stacking.

Returns:

A tensor.

Example:

>>> a = tf.constant([[1, 2],[3, 4]])
>>> b = tf.constant([[10, 20],[30, 40]])
>>> tf.keras.backend.stack((a, b))
<tf.Tensor: id=146, shape=(2, 2, 2), dtype=int32, numpy=
array([[[ 1,  2],
        [ 3,  4]],
       [[10, 20],
        [30, 40]]], dtype=int32)>