tf.keras.layers.Cropping1D | TensorFlow v2.16.1 (original) (raw)
tf.keras.layers.Cropping1D
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Cropping layer for 1D input (e.g. temporal sequence).
Inherits From: Layer, Operation
tf.keras.layers.Cropping1D(
cropping=(1, 1), **kwargs
)
It crops along the time dimension (axis 1).
Example:
input_shape = (2, 3, 2)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
x
[[[ 0 1]
[ 2 3]
[ 4 5]]
[[ 6 7]
[ 8 9]
[10 11]]]
y = keras.layers.Cropping1D(cropping=1)(x)
y
[[[2 3]]
[[8 9]]]
| Args | |
|---|---|
| cropping | Int, or tuple of int (length 2), or dictionary. If int: how many units should be trimmed off at the beginning and end of the cropping dimension (axis 1). If tuple of 2 ints: how many units should be trimmed off at the beginning and end of the cropping dimension ((left_crop, right_crop)). |
| Input shape |
|---|
| 3D tensor with shape (batch_size, axis_to_crop, features) |
| Output shape |
|---|
| 3D tensor with shape (batch_size, cropped_axis, features) |
| Attributes | |
|---|---|
| input | Retrieves the input tensor(s) of a symbolic operation.Only returns the tensor(s) corresponding to the _first time_the operation was called. |
| output | Retrieves the output tensor(s) of a layer.Only returns the tensor(s) corresponding to the _first time_the operation was called. |
Methods
from_config
@classmethod
from_config( config )
Creates a layer from its config.
This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).
| Args | |
|---|---|
| config | A Python dictionary, typically the output of get_config. |
| Returns |
|---|
| A layer instance. |
symbolic_call
symbolic_call(
*args, **kwargs
)