UpSampling1D layer
UpSampling1D class
tf_keras.layers.UpSampling1D(size=2, **kwargs)
Upsampling layer for 1D inputs.
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).