tf.raw_ops.AssertPrevDataset

A transformation that asserts which transformations happened previously.

tf.raw_ops.AssertPrevDataset(
    input_dataset, transformations, output_types, output_shapes, name=None
)

This transformation checks the names and, optionally, the attribute name-value pairs in the transformations argument against those of the transformations that preceded this transformation. If there is a mismatch, the transformation raises an exception.

The check occurs when iterating over the contents of the dataset, which means that the check happens after any static optimizations are applied to the dataset graph.

input_dataset A Tensor of type variant. A variant tensor representing the input dataset. AssertPrevDataset passes through the outputs of its input dataset.
transformations A Tensor of type string. A tf.string vector tf.Tensor identifying the transformations, with optional attribute name-value pairs, that are expected to have happened previously.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
name A name for the operation (optional).

A Tensor of type variant.