tf.keras.layers.Cropping1D
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Cropping 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.Cropping1D`
tf.keras.layers.Cropping1D(
cropping=(1, 1), **kwargs
)
It crops along the time dimension (axis 1).
Examples:
input_shape = (2, 3, 2)
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.Cropping1D(cropping=1)(x)
print(y)
tf.Tensor(
[[[2 3]]
[[8 9]]], shape=(2, 1, 2), dtype=int64)
Args |
|---|
cropping
|
Int or tuple of int (length 2)
How many units should be trimmed off at the beginning and end of
the cropping dimension (axis 1).
If a single int is provided, the same value will be used for both.
|
|
|---|
3D tensor with shape (batch_size, axis_to_crop, features)
|
Output shape |
|---|
3D tensor with shape (batch_size, cropped_axis, features)
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.layers.Cropping1D\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.13.1/keras/layers/reshaping/cropping1d.py#L28-L97) |\n\nCropping 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.Cropping1D\\`\n\n\u003cbr /\u003e\n\n tf.keras.layers.Cropping1D(\n cropping=(1, 1), **kwargs\n )\n\nIt crops along the time dimension (axis 1).\n\n#### Examples:\n\n input_shape = (2, 3, 2)\n x = np.arange(np.prod(input_shape)).reshape(input_shape)\n print(x)\n [[[ 0 1]\n [ 2 3]\n [ 4 5]]\n [[ 6 7]\n [ 8 9]\n [10 11]]]\n y = tf.keras.layers.Cropping1D(cropping=1)(x)\n print(y)\n tf.Tensor(\n [[[2 3]]\n [[8 9]]], shape=(2, 1, 2), dtype=int64)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `cropping` | Int or tuple of int (length 2) How many units should be trimmed off at the beginning and end of the cropping dimension (axis 1). If a single int is provided, the same value will be used for both. |\n\n\u003cbr /\u003e\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_crop, 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, cropped_axis, features)` ||\n\n\u003cbr /\u003e"]]
View source on GitHub