# Copyright 2020 MONAI Consortium # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys from collections import OrderedDict import numpy as np import torch import monai try: import ignite ignite_version = ignite.__version__ del ignite except (ImportError, AttributeError): ignite_version = "NOT INSTALLED or UNKNOWN VERSION." try: import nibabel nibabel_version = nibabel.__version__ del nibabel except (ImportError, AttributeError): nibabel_version = "NOT INSTALLED or UNKNOWN VERSION." try: import skimage skimage_version = skimage.__version__ del skimage except (ImportError, AttributeError): skimage_version = "NOT INSTALLED or UNKNOWN VERSION." try: import PIL PIL_version = PIL.__version__ del PIL except (ImportError, AttributeError): PIL_version = "NOT INSTALLED or UNKNOWN VERSION." try: import tensorboard tensorboard_version = tensorboard.__version__ del tensorboard except (ImportError, AttributeError): tensorboard_version = "NOT INSTALLED or UNKNOWN VERSION." try: import gdown gdown_version = gdown.__version__ del gdown except (ImportError, AttributeError): gdown_version = "NOT INSTALLED or UNKNOWN VERSION." try: import torchvision torchvision_version = torchvision.__version__ del torchvision except (ImportError, AttributeError): torchvision_version = "NOT INSTALLED or UNKNOWN VERSION." try: import itk # type: ignore itk_version = itk.Version.GetITKVersion() del itk except (ImportError, AttributeError): itk_version = "NOT INSTALLED or UNKNOWN VERSION." def get_config_values(): """ Read the package versions into a dictionary. """ output = OrderedDict() output["MONAI"] = monai.__version__ output["Python"] = sys.version.replace("\n", " ") output["Numpy"] = np.version.full_version output["Pytorch"] = torch.__version__ return output def get_optional_config_values(): """ Read the optional package versions into a dictionary. """ output = OrderedDict() output["Pytorch Ignite"] = ignite_version output["Nibabel"] = nibabel_version output["scikit-image"] = skimage_version output["Pillow"] = PIL_version output["Tensorboard"] = tensorboard_version output["gdown"] = gdown_version output["TorchVision"] = torchvision_version output["ITK"] = itk_version return output def print_config(file=sys.stdout): """ Print the package versions to `file`. Args: file: `print()` text stream file. Defaults to `sys.stdout`. """ for k, v in get_config_values().items(): print(f"{k} version: {v}", file=file, flush=True) print("\nOptional dependencies:", file=file, flush=True) for k, v in get_optional_config_values().items(): print(f"{k} version: {v}", file=file, flush=True) print("\nFor details about installing the optional dependencies, please visit:", file=file, flush=True) print( " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", file=file, flush=True, ) def set_visible_devices(*dev_inds): os.environ["CUDA_VISIBLE_DEVICES"] = ",".join(map(str, dev_inds)) def get_torch_version_tuple(): """ Returns: tuple of ints represents the pytorch major/minor version. """ return tuple((int(x) for x in torch.__version__.split(".")[:2]))