Upsampling layer for 1D inputs.
Inherits From: Layer
, Module
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Compat aliases for migration
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more details.
`tf.compat.v1.keras.layers.UpSampling1D`
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)
Args |
size
|
Integer. Upsampling factor.
|
|
3D tensor with shape: (batch_size, steps, features) .
|
Output shape |
3D tensor with shape: (batch_size, upsampled_steps, features) .
|