tf.keras.ops.append
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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,).
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Last updated 2024-06-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.append\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/numpy.py#L447-L486) |\n\nAppend tensor `x2` to the end of tensor `x1`.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.ops.numpy.append`](https://www.tensorflow.org/api_docs/python/tf/keras/ops/append)\n\n\u003cbr /\u003e\n\n tf.keras.ops.append(\n x1, x2, axis=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|------------------------------------------------------------------------------------------------------------|\n| `x1` | First input tensor. |\n| `x2` | Second input tensor. |\n| `axis` | Axis along which tensor `x2` is appended to tensor `x1`. If `None`, both tensors are flattened before use. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor with the values of `x2` appended to `x1`. ||\n\n\u003cbr /\u003e\n\n#### Examples:\n\n x1 = keras.ops.convert_to_tensor([1, 2, 3])\n x2 = keras.ops.convert_to_tensor([[4, 5, 6], [7, 8, 9]])\n keras.ops.append(x1, x2)\n array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)\n\nWhen `axis` is specified, `x1` and `x2` must have compatible shapes. \n\n \u003e\u003e\u003e x1 = keras.ops.convert_to_tensor([[1, 2, 3], [4, 5, 6]])\n \u003e\u003e\u003e x2 = keras.ops.convert_to_tensor([[7, 8, 9]])\n \u003e\u003e\u003e keras.ops.append(x1, x2, axis=0)\n array([[1, 2, 3],\n [4, 5, 6],\n [7, 8, 9]], dtype=int32)\n \u003e\u003e\u003e x3 = keras.ops.convert_to_tensor([7, 8, 9])\n \u003e\u003e\u003e keras.ops.append(x1, x3, axis=0)\n Traceback (most recent call last):\n ...\n TypeError: Cannot concatenate arrays with different numbers of\n dimensions: got (2, 3), (3,)."]]
View source on GitHub