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tfm.utils.activations.hard_swish

Computes a hard version of the swish function.

tfm.utils.activations.hard_swish(
    features
)

This operation can be used to reduce computational cost and improve quantization for edge devices.

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

Returns
The activation value.

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Last updated 2023-01-20 UTC.

Args