tf.keras.layers.UpSampling1D

TensorFlow 1 version View source on GitHub

Upsampling layer for 1D inputs.

Inherits From: Layer

tf.keras.layers.UpSampling1D(
    size=2, **kwargs
)

Repeats each temporal step size times along the time axis.

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.UpSampling1D(size=2)(x) 
print(y) 
tf.Tensor( 
  [[[ 0  1  2] 
    [ 0  1  2] 
    [ 3  4  5] 
    [ 3  4  5]] 
   [[ 6  7  8] 
    [ 6  7  8] 
    [ 9 10 11] 
    [ 9 10 11]]], shape=(2, 4, 3), dtype=int64) 

Arguments:

  • size: Integer. Upsampling factor.

Input shape:

3D tensor with shape: (batch_size, steps, features).

Output shape:

3D tensor with shape: (batch_size, upsampled_steps, features).