tf.keras.layers.ZeroPadding1D
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Zero-padding layer for 1D input (e.g. temporal sequence).
Inherits From: Layer, Module
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.layers.ZeroPadding1D`
tf.keras.layers.ZeroPadding1D(
padding=1, **kwargs
)
Examples:
input_shape = (2, 2, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
print(x)
[[[ 0 1 2]
[ 3 4 5]]
[[ 6 7 8]
[ 9 10 11]]]
y = tf.keras.layers.ZeroPadding1D(padding=2)(x)
print(y)
tf.Tensor(
[[[ 0 0 0]
[ 0 0 0]
[ 0 1 2]
[ 3 4 5]
[ 0 0 0]
[ 0 0 0]]
[[ 0 0 0]
[ 0 0 0]
[ 6 7 8]
[ 9 10 11]
[ 0 0 0]
[ 0 0 0]]], shape=(2, 6, 3), dtype=int64)
Args |
|---|
padding
|
Int, or tuple of int (length 2), or dictionary.
- If int:
How many zeros to add at the beginning and end of
the padding dimension (axis 1).
- If tuple of int (length 2):
How many zeros to add at the beginning and the end of
the padding dimension (
(left_pad, right_pad)).
|
|
|---|
3D tensor with shape (batch_size, axis_to_pad, features)
|
Output shape |
|---|
3D tensor with shape (batch_size, padded_axis, features)
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.layers.ZeroPadding1D\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.10.0/keras/layers/reshaping/zero_padding1d.py#L29-L94) |\n\nZero-padding layer for 1D input (e.g. temporal sequence).\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer), [`Module`](../../../tf/Module)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n\\`tf.compat.v1.keras.layers.ZeroPadding1D\\`\n\n\u003cbr /\u003e\n\n tf.keras.layers.ZeroPadding1D(\n padding=1, **kwargs\n )\n\n#### Examples:\n\n input_shape = (2, 2, 3)\n x = np.arange(np.prod(input_shape)).reshape(input_shape)\n print(x)\n [[[ 0 1 2]\n [ 3 4 5]]\n [[ 6 7 8]\n [ 9 10 11]]]\n y = tf.keras.layers.ZeroPadding1D(padding=2)(x)\n print(y)\n tf.Tensor(\n [[[ 0 0 0]\n [ 0 0 0]\n [ 0 1 2]\n [ 3 4 5]\n [ 0 0 0]\n [ 0 0 0]]\n [[ 0 0 0]\n [ 0 0 0]\n [ 6 7 8]\n [ 9 10 11]\n [ 0 0 0]\n [ 0 0 0]]], shape=(2, 6, 3), dtype=int64)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `padding` | Int, or tuple of int (length 2), or dictionary. \u003cbr /\u003e - If int: How many zeros to add at the beginning and end of the padding dimension (axis 1). - If tuple of int (length 2): How many zeros to add at the beginning and the end of the padding dimension (`(left_pad, right_pad)`). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Input shape ----------- ||\n|---|---|\n| 3D tensor with shape `(batch_size, axis_to_pad, features)` ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Output shape ------------ ||\n|---|---|\n| 3D tensor with shape `(batch_size, padded_axis, features)` ||\n\n\u003cbr /\u003e"]]
View source on GitHub