Defined in tensorflow/contrib/data/python/ops/

See the guide: Dataset Input Pipeline > Transformations on existing datasets

Creates a Dataset from another Dataset and silently ignores any errors.

Use this transformation to produce a dataset that contains the same elements as the input, but silently drops any elements that caused an error. For example:

dataset =[1., 2., 0., 4.])

# Computing `tf.check_numerics(1. / 0.)` will raise an InvalidArgumentError.
dataset = x: tf.check_numerics(1. / x, "error"))

# Using `ignore_errors()` will drop the element that causes an error.
dataset =
    dataset.apply(  # ==> { 1., 0.5, 0.2 }


A Dataset transformation function, which can be passed to