tf.raw_ops.AssertNextDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.AssertNextDataset
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A transformation that asserts which transformations happen next.
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tf.compat.v1.raw_ops.AssertNextDataset
tf.raw_ops.AssertNextDataset(
input_dataset, transformations, output_types, output_shapes, name=None
)
This transformation checks whether the camel-case names (i.e. "FlatMap", not "flat_map") of the transformations following this transformation match the list of names in the transformations argument. 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.
| Args | |
|---|---|
| input_dataset | A Tensor of type variant. A variant tensor representing the input dataset.AssertNextDataset passes through the outputs of its input dataset. |
| transformations | A Tensor of type string. A tf.string vector tf.Tensor identifying the transformations that are expected to happen next. |
| 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). |
| Returns |
|---|
| A Tensor of type variant. |