tf.keras.layers.ZeroPadding1D

TensorFlow 1 version View source on GitHub

Zero-padding layer for 1D input (e.g. temporal sequence).

Inherits From: Layer

tf.keras.layers.ZeroPadding1D(
    padding=1, **kwargs
)

Examples:

input_shape = (2, 2, 3) 
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.ZeroPadding1D(padding=2)(x) 
print(y) 
tf.Tensor( 
  [[[ 0  0  0] 
    [ 0  0  0] 
    [ 0  1  2] 
    [ 3  4  5] 
    [ 0  0  0] 
    [ 0  0  0]] 
   [[ 0  0  0] 
    [ 0  0  0] 
    [ 6  7  8] 
    [ 9 10 11] 
    [ 0  0  0] 
    [ 0  0  0]]], shape=(2, 6, 3), dtype=int64) 

Arguments:

  • padding: Int, or tuple of int (length 2), or dictionary.
    • If int: How many zeros to add at the beginning and end of the padding dimension (axis 1).
    • If tuple of int (length 2): How many zeros to add at the beginning and at the end of the padding dimension ((left_pad, right_pad)).

Input shape:

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

Output shape:

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