tfm.utils.activations.simple_swish

Computes the Swish activation function.

tfm.utils.activations.simple_swish(
    features
)

The tf.nn.swish operation uses a custom gradient to reduce memory usage. Since saving custom gradients in SavedModel is currently not supported, and one would not be able to use an exported TF-Hub module for fine-tuning, we provide this wrapper that can allow to select whether to use the native TensorFlow swish operation, or whether to use a customized operation that has uses default TensorFlow gradient computation.

Args
`features`	A `Tensor` representing preactivation values.

Returns
The activation value.

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Last updated 2024-02-02 UTC.

tfm.utils.activations.simple_swish

Args

Returns