Defined in tensorflow/contrib/autograph/__init__.py.
This is the legacy module for AutoGraph, kept for backward compatibility.
New users should instead use tensorflow.python.autograph.
Classes
class AutographParseError: Invalid syntax.
class ConversionOptions: Immutable container for global conversion flags.
class Feature: Represents conversion options that can be toggled on or off.
class GraphConstructionError: Error for graph construction errors from AutoGraph generated code.
class RunMode: Specifies the way a converted function or method should be executed in TF.
class TfRuntimeError: Error wrapper for runtime errors raised by AutoGraph generated code.
class Verbosity: Represents conversion verbosity levels.
Functions
convert(...): Decorator that compiles a function to use TensorFlow ops.
converted_call(...): Compiles a function call inline. For internal use only.
do_not_convert(...): Decorator that suppresses the conversion of a function.
improved_errors(...): Context manager that rewrites runtime errors.
set_element_type(...): Indicates that the entity is expected hold items of specified type/shape.
set_loop_options(...): Specifies additional arguments to be passed to the enclosing while_loop.
stack(...): Stacks the input, if it admits the notion of stacking.
tensor_list(...): Creates an tensor list and populates it with the given elements.
to_code(...): Similar to to_graph, but returns Python source code as a string.
to_graph(...): Converts a Python entity into a TensorFlow graph.