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Adding Abseil (absl) flags quickstart
WARNING This module is deprecated. We no longer use it in new models and your projects should not depend on it. We will remove this module when all models using it are deprecated which may take time.
Defining a flag
absl flag definitions are similar to argparse, although they are defined on a global namespace.
For instance, defining a string flag looks like this:
from absl import flags
flags.DEFINE_string(
name="my_flag",
default="a_sensible_default",
help="Here is what this flag does."
)
All three arguments are required, but the default may be None
. A common optional argument is
short_name for defining abbreviations. Certain DEFINE_*
methods will have other required arguments.
For instance, DEFINE_enum
requires the enum_values
argument to be specified.
Key Flags
absl has the concept of a key flag. Any flag defined in __main__
is considered a key flag by
default. Key flags are displayed in --help
, others only appear in --helpful
. To
handle key flags that are defined outside the module in question, absl provides the
flags.adopt_module_key_flags()
method. This adds the key flags of a different module to one's own
key flags. For example:
```$xslt
File: flag_source.py
from absl import flags flags.DEFINE_string(name="my_flag", default="abc", help="a flag.")
```$xslt
File: my_module.py
---------------------------------------
from absl import app as absl_app
from absl import flags
import flag_source
flags.adopt_module_key_flags(flag_source)
def main(_):
pass
absl_app.run(main, [__file__, "-h"]
when my_module.py
is run it will show the help text for my_flag
. Because not all flags defined
in a file are equally important, official/utils/flags/core.py
(generally imported as flags_core)
provides an abstraction for easily handling key flag declaration through the
register_key_flags_in_core()
function, which allows a module to make a single
adopt_key_flags(flags_core)
call when using the util flag declaration functions.
Validators
Often the constraints on a flag are complicated. absl provides the validator decorator to allow one to mark a function as a flag validation function. Suppose we want users to provide a flag that is a palindrome.
from absl import flags
flags.DEFINE_string(name="pal_flag", short_name="pf", default="", help="Give me a palindrome")
@flags.validator("pal_flag")
def _check_pal(provided_pal_flag):
return provided_pal_flag == provided_pal_flag[::-1]
Validators take the form that returning True (truthy) passes, and all others (False, None, exception) fail.
Testing
To test using absl, simply declare flags in the setupClass method of TensorFlow's TestCase.
from absl import flags
import tensorflow as tf
def define_flags():
flags.DEFINE_string(name="test_flag", default="abc", help="an example flag")
class BaseTester(unittest.TestCase):
@classmethod
def setUpClass(cls):
super(BaseTester, cls).setUpClass()
define_flags()
def test_trivial(self):
flags_core.parse_flags([__file__, "test_flag", "def"])
self.AssertEqual(flags.FLAGS.test_flag, "def")