tf.keras.layers.UpSampling3D

TensorFlow 1 version

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

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.ZeroPadding1D

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 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)

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tf.keras / layers / layers.UpSampling3D

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Examples:

Arguments

Input shape:

Output shape: