TensorFlow 1 version |
Compatibility functions.
The tf.compat
module contains two sets of compatibility functions.
Tensorflow 1.x and 2.x APIs
The compat.v1
and compat.v2
submodules provide a complete copy of both the
v1
and v2
APIs for backwards and forwards compatibility across TensorFlow
versions 1.x and 2.x. See the
migration guide for details.
Utilities for writing compatible code
Aside from the compat.v1
and compat.v2
submodules, tf.compat
also contains
a set of helper functions for writing code that works in both:
- TensorFlow 1.x and 2.x
- Python 2 and 3
Type collections
The compatibility module also provides the following aliases for common sets of python types:
bytes_or_text_types
complex_types
integral_types
real_types
Modules
v1
module: Bring in all of the public TensorFlow interface into this module.
Functions
as_bytes(...)
: Converts bytearray
, bytes
, or unicode python input types to bytes
.
as_str_any(...)
: Converts input to str
type.
as_text(...)
: Converts any string-like python input types to unicode.
dimension_at_index(...)
: Compatibility utility required to allow for both V1 and V2 behavior in TF.
dimension_value(...)
: Compatibility utility required to allow for both V1 and V2 behavior in TF.
forward_compatibility_horizon(...)
: Context manager for testing forward compatibility of generated graphs.
forward_compatible(...)
: Return true if the forward compatibility window has expired.
path_to_str(...)
: Converts input which is a PathLike
object to str
type.