Append tensor x2
to the end of tensor x1
.
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,).