Data input/output

This section covers how to manage data input and output in Union.ai. Union.ai also supports all the Data input/output features of Flyte.

Section	Description
`FlyteFile`	Use `FlyteFile` to easily pass files across tasks.
`FlyteDirectory`	Use `FlyteDirectory` to easily pass directories across tasks.
`Downloading with FlyteFile and FlyteDirectory`	Details on how files and directories or downloaded with `FlyteFile`.
`StructuredDataset`	Details on how `StructuredDataset`is used as a general dataframe type.
`Dataclass`	Details on how to uses dataclasses across tasks.
`Pydantic BaseModel`	Details on how to use pydantic models across tasks.
`Accessing Attributes`	Details on how to directly access attributes on output promises for
`Enums`	Details on how use Enums across tasks.
`Pickle`	Details on how use pickled objects across tasks for generalized typ
`Pytorch`	Details on how use torch tensors and models across tasks.
`Tensorflow`	Details on how use tensorflow tensors and models across tasks.
`Accelerated datasets`	Upload your data once and access it from any task.