Cropping layer for 1D input (e.g. temporal sequence).
Inherits From: Layer, Module
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`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) |