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Support Keras restructuring for Network, Model and Sequential

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This commit is contained in:
allegroai 2020-09-29 19:27:43 +03:00
parent 5094ede309
commit be099f42f9
1 changed files with 28 additions and 5 deletions
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33
trains/binding/frameworks/tensorflow_bind.py
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@ -1303,6 +1303,10 @@ class PatchKerasModelIO(object):
from keras.engine.network import Network
except ImportError:
Network = None
try:
from keras.engine.functional import Functional
except ImportError:
Functional = None
try:
from keras.engine.sequential import Sequential
except ImportError:
@ -1316,9 +1320,10 @@ class PatchKerasModelIO(object):
PatchKerasModelIO.__patched_keras = [
Network if PatchKerasModelIO.__patched_tensorflow[0] != Network else None,
Sequential if PatchKerasModelIO.__patched_tensorflow[1] != Sequential else None,
keras_saving if PatchKerasModelIO.__patched_tensorflow[2] != keras_saving else None, ]
keras_saving if PatchKerasModelIO.__patched_tensorflow[2] != keras_saving else None,
Functional if PatchKerasModelIO.__patched_tensorflow[3] != Functional else None, ]
else:
PatchKerasModelIO.__patched_keras = [Network, Sequential, keras_saving]
PatchKerasModelIO.__patched_keras = [Network, Sequential, keras_saving, Functional]
PatchKerasModelIO._patch_io_calls(*PatchKerasModelIO.__patched_keras)
if 'tensorflow' in sys.modules and not PatchKerasModelIO.__patched_tensorflow:
@ -1328,6 +1333,12 @@ class PatchKerasModelIO(object):
from tensorflow.python.keras.engine.network import Network
except ImportError:
Network = None
try:
# hack: make sure tensorflow.__init__ is called
import tensorflow # noqa: F401
from tensorflow.python.keras.engine.functional import Functional
except ImportError:
Functional = None
try:
# hack: make sure tensorflow.__init__ is called
import tensorflow # noqa: F811
@ -1345,13 +1356,14 @@ class PatchKerasModelIO(object):
PatchKerasModelIO.__patched_tensorflow = [
Network if PatchKerasModelIO.__patched_keras[0] != Network else None,
Sequential if PatchKerasModelIO.__patched_keras[1] != Sequential else None,
keras_saving if PatchKerasModelIO.__patched_keras[2] != keras_saving else None, ]
keras_saving if PatchKerasModelIO.__patched_keras[2] != keras_saving else None,
Functional if PatchKerasModelIO.__patched_keras[3] != Functional else None,]
else:
PatchKerasModelIO.__patched_tensorflow = [Network, Sequential, keras_saving]
PatchKerasModelIO.__patched_tensorflow = [Network, Sequential, keras_saving, Functional]
PatchKerasModelIO._patch_io_calls(*PatchKerasModelIO.__patched_tensorflow)
@staticmethod
def _patch_io_calls(Network, Sequential, keras_saving):
def _patch_io_calls(Network, Sequential, keras_saving, Functional):
try:
if Sequential is not None:
Sequential._updated_config = _patched_call(Sequential._updated_config,
@ -1374,6 +1386,17 @@ class PatchKerasModelIO(object):
Network.save = _patched_call(Network.save, PatchKerasModelIO._save)
Network.save_weights = _patched_call(Network.save_weights, PatchKerasModelIO._save_weights)
Network.load_weights = _patched_call(Network.load_weights, PatchKerasModelIO._load_weights)
elif Functional is not None:
Functional._updated_config = _patched_call(Functional._updated_config, PatchKerasModelIO._updated_config)
if hasattr(Sequential.from_config, '__func__'):
# noinspection PyUnresolvedReferences
Functional.from_config = classmethod(_patched_call(Functional.from_config.__func__,
PatchKerasModelIO._from_config))
else:
Functional.from_config = _patched_call(Functional.from_config, PatchKerasModelIO._from_config)
Functional.save = _patched_call(Functional.save, PatchKerasModelIO._save)
Functional.save_weights = _patched_call(Functional.save_weights, PatchKerasModelIO._save_weights)
Functional.load_weights = _patched_call(Functional.load_weights, PatchKerasModelIO._load_weights)
if keras_saving is not None:
keras_saving.save_model = _patched_call(keras_saving.save_model, PatchKerasModelIO._save_model)