tf.keras.layers.Cropping1D

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

Inherits From: Layer

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)

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)