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()