def setUp(self):
import os
os.environ['TF_EAGER'] = '1'
tf_perhaps_eager_execution()
self.om = Omega()
self.om.models.register_backend(TFDatasetBackend.KIND, TFDatasetBackend)
self.clean()
def setUp(self):
from omegaml.backends.tensorflow.tfestimatormodel import TFEstimatorModelBackend
self.om = Omega()
self.om.models.register_backend(TFEstimatorModelBackend.KIND,
TFEstimatorModelBackend)
self.clean()
tf_perhaps_eager_execution()
def setUp(self):
self.om = Omega()
self.om.models.register_backend(TensorflowKerasBackend.KIND,
TensorflowKerasBackend)
self.om.models.register_backend(TensorflowKerasSavedModelBackend.KIND,
TensorflowKerasSavedModelBackend)
self.clean()
tf_perhaps_eager_execution()
def setUp(self):
from omegaml.backends.tensorflow.tfkeras import TensorflowKerasBackend
from omegaml.backends.tensorflow.tfkerassavedmodel import TensorflowKerasSavedModelBackend
self.om = Omega()
self.om.models.register_backend(TensorflowKerasBackend.KIND,
TensorflowKerasBackend)
self.om.models.register_backend(TensorflowKerasSavedModelBackend.KIND,
TensorflowKerasSavedModelBackend)
self.clean()
tf_perhaps_eager_execution()
def setUp(self):
self.om = Omega()
self.om.models.register_backend(TFEstimatorModelBackend.KIND,
TFEstimatorModelBackend)
self.clean()
tf_perhaps_eager_execution()
def setUp(self):
self.om = Omega()
self.om.datasets.register_backend(ProtobufDataBackend.KIND, ProtobufDataBackend)
self.clean()
self._images = None
tf_perhaps_eager_execution()