tf.keras.ops.append

Append tensor x2 to the end of tensor x1.

View aliases

Main aliases

tf.keras.ops.numpy.append

tf.keras.ops.append(
    x1, x2, axis=None
)

Args
x1	First input tensor.
x2	Second input tensor.
axis	Axis along which tensor x2 is appended to tensor x1. If None, both tensors are flattened before use.

Returns
A tensor with the values of x2 appended to x1.

Examples:

x1 = keras.ops.convert_to_tensor([1, 2, 3])
x2 = keras.ops.convert_to_tensor([[4, 5, 6], [7, 8, 9]])
keras.ops.append(x1, x2)
array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)

When axis is specified, x1 and x2 must have compatible shapes.

>>> x1 = keras.ops.convert_to_tensor([[1, 2, 3], [4, 5, 6]])
>>> x2 = keras.ops.convert_to_tensor([[7, 8, 9]])
>>> keras.ops.append(x1, x2, axis=0)
array([[1, 2, 3],
        [4, 5, 6],
        [7, 8, 9]], dtype=int32)
>>> x3 = keras.ops.convert_to_tensor([7, 8, 9])
>>> keras.ops.append(x1, x3, axis=0)
Traceback (most recent call last):
    ...
TypeError: Cannot concatenate arrays with different numbers of
dimensions: got (2, 3), (3,).