ZeroPadding1D layer
ZeroPadding1D class
tf_keras.layers.ZeroPadding1D(padding=1, **kwargs)
Zero-padding layer for 1D input (e.g. temporal sequence).
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).
- 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 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)