experiments/STT-tensorflow
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Make forward compatibility utilities visible as tf.compat.forward_compatible.

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PiperOrigin-RevId: 204927574
This commit is contained in:
Asim Shankar 2018-07-17 09:57:10 -07:00 committed by TensorFlower Gardener
parent 97b1ef3ee8
commit 6971bc84c3
3 changed files with 16 additions and 0 deletions
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1
tensorflow/python/compat/BUILD
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@ -9,6 +9,7 @@ py_library(
srcs = ["compat.py"], srcs = ["compat.py"],
srcs_version = "PY2AND3", srcs_version = "PY2AND3",
visibility = ["//tensorflow:internal"], visibility = ["//tensorflow:internal"],
deps = ["//tensorflow/python:util"],
) )
tf_py_test( tf_py_test(

7
tensorflow/python/compat/compat.py
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@ -24,13 +24,17 @@ from __future__ import print_function
import datetime import datetime
from tensorflow.python.util import tf_contextlib from tensorflow.python.util import tf_contextlib
from tensorflow.python.util.tf_export import tf_export
_FORWARD_COMPATIBILITY_HORIZON = datetime.date(2018, 8, 1) _FORWARD_COMPATIBILITY_HORIZON = datetime.date(2018, 8, 1)
@tf_export("compat.forward_compatible")
def forward_compatible(year, month, day): def forward_compatible(year, month, day):
"""Return true if the forward compatibility window has expired. """Return true if the forward compatibility window has expired.
See @{$guide/version_compat#backward_and_partial_forward_compatibility}.
Forward-compatibility refers to scenarios where the producer of a TensorFlow Forward-compatibility refers to scenarios where the producer of a TensorFlow
model (a GraphDef or SavedModel) is compiled against a version of the model (a GraphDef or SavedModel) is compiled against a version of the
TensorFlow library newer than what the consumer was compiled against. The TensorFlow library newer than what the consumer was compiled against. The
@ -82,10 +86,13 @@ def forward_compatible(year, month, day):
return _FORWARD_COMPATIBILITY_HORIZON > datetime.date(year, month, day) return _FORWARD_COMPATIBILITY_HORIZON > datetime.date(year, month, day)
@tf_export("compat.forward_compatibility_horizon")
@tf_contextlib.contextmanager @tf_contextlib.contextmanager
def forward_compatibility_horizon(year, month, day): def forward_compatibility_horizon(year, month, day):
"""Context manager for testing forward compatibility of generated graphs. """Context manager for testing forward compatibility of generated graphs.
See @{$guide/version_compat#backward_and_partial_forward_compatibility}.
To ensure forward compatibility of generated graphs (see `forward_compatible`) To ensure forward compatibility of generated graphs (see `forward_compatible`)
with older binaries, new features can be gated with: with older binaries, new features can be gated with:

8
tensorflow/tools/api/golden/tensorflow.compat.pbtxt
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@ -32,6 +32,14 @@ tf_module {
name: "as_text" name: "as_text"
argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], " argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], "
} }
member_method {
name: "forward_compatibility_horizon"
argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "forward_compatible"
argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None"
}
member_method { member_method {
name: "path_to_str" name: "path_to_str"
argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None"