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tf.keras.layers.Cropping1D

TensorFlow 1 version View source on GitHub

Cropping layer for 1D input (e.g. temporal sequence).

Inherits From: Layer

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) 

Arguments:

  • 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.

Input shape:

3D tensor with shape (batch_size, axis_to_crop, features)

Output shape:

3D tensor with shape (batch_size, cropped_axis, features)