from delira import get_backends as _get_backends
if "SKLEARN" in _get_backends():
from delira.training.backends.sklearn.trainer import \
SklearnEstimatorTrainer
from delira.training.backends.sklearn.experiment import SklearnExperiment
from delira.training.backends.sklearn.utils import create_optims_default \
as create_sklearn_optims_default
from delira import get_backends as _get_backends
if "TF" in _get_backends():
from delira.models.backends.tf_graph.abstract_network import \
AbstractTfGraphNetwork
from delira import get_backends as _get_backends
if "CHAINER" in _get_backends():
from delira.training.backends.chainer import *
if "SKLEARN" in _get_backends():
from delira.training.backends.sklearn import *
if "TF" in _get_backends():
from delira.training.backends.tf_graph import *
from delira.training.backends.tf_eager import *
if "TORCH" in _get_backends():
from delira.training.backends.torch import *
from delira.training.backends.torchscript import *
from delira import get_backends as _get_backends
if "TORCH" in _get_backends():
from delira.training.backends.torch.trainer import PyTorchNetworkTrainer
from delira.training.backends.torch.experiment import PyTorchExperiment
from delira.training.backends.torch.utils import create_optims_default \
as create_pytorch_optims_default
from delira.training.backends.torch.utils import convert_to_numpy \
as convert_torch_to_numpy
from delira import get_backends as _get_backends
if "CHAINER" in _get_backends():
from delira.training.backends.chainer.trainer import ChainerNetworkTrainer
from delira.training.backends.chainer.experiment import ChainerExperiment
from delira.training.backends.chainer.utils import convert_to_numpy \
as convert_chainer_to_numpy
from delira.training.backends.chainer.utils import create_optims_default \
as create_chainer_optims_default