nsl.lib.apply_feature_mask

Applies a feature mask on features if the feature_mask is not None.

nsl.lib.apply_feature_mask(
    features, feature_mask=None
)

Args
`features`	A dense tensor representing features.
`feature_mask`	A dense tensor with values in `[0, 1]` and a broadcastable shape to `features`. If not set, or set to `None`, the `features` are returned unchanged.

Returns
A dense tensor having the same shape as `features`.

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Last updated 2022-10-28 UTC.

Args