`sagemake.pytorch.PyTorchModel` requires `framework_version` even if `image_uri` is provided

[alar0330]

Describe the bug
sagemake.pytorch.PyTorchModel requires framework_version even if image_uri is provided.

To reproduce

    pytorch_inference_image_uri = sagemaker.image_uris.retrieve(
        'pytorch',
        region=SM_REGION,
        version='1.7.1',
        py_version='py3',
        instance_type='ml.c5.xlarge',
        accelerator_type=None,
        image_scope='inference')

    sm_model = PyTorchModel(
        model_data=model_artifact_s3,
        role=IAM_ROLE,
        entry_point='inference.py',
  #      framework_version='1.7.1',  # <--- fails if commented
        image_uri=pytorch_inference_image_uri)

    print('Deploying endpoint..')
    predictor = sm_model.deploy(
        initial_instance_count=1,
        instance_type='local',
    )

Expected behavior
From documentation: "ramework_version (str): PyTorch version you want to use for executing your model training code. Defaults to None. Required unless image_uri is provided."

This is also the observed behaviour in other framework models.

Screenshots or logs

Traceback (most recent call last):
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/dev_local.py", line 79, in <module>
    run()
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/dev_local.py", line 38, in run
    predictor = sm_model.deploy(
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/sagemaker/model.py", line 992, in deploy
    self._create_sagemaker_model(instance_type, accelerator_type, tags)
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/sagemaker/model.py", line 523, in _create_sagemaker_model
    container_def = self.prepare_container_def(instance_type, accelerator_type=accelerator_type)
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/sagemaker/pytorch/model.py", line 252, in prepare_container_def
    self._upload_code(deploy_key_prefix, repack=self._is_mms_version())
  File "/Users/***/WORK/Repos/sagemaker-python-sdk/src/sagemaker/pytorch/model.py", line 297, in _is_mms_version
    framework_version = packaging.version.Version(self.framework_version)
  File "/Users/***/miniconda/envs/pt18/lib/python3.8/site-packages/packaging/version.py", line 264, in __init__
    match = self._regex.search(version)

System information

• SageMaker Python SDK version: 2.80.0
• Framework name (eg. PyTorch) or algorithm (eg. KMeans): PyTorch
• Framework version:
• Python version: 3.8.12
• CPU or GPU:
• Custom Docker image (Y/N): N

Additional context
Issue in sagemake.pytorch.PyTorchModel._is_mms_version(...): no logic to cover the None value of framework_version.

[knikure]

@alar0330 Thank you for bringing this issue to our notice. The problem has been addressed in the most recent version of SageMaker. Please upgrade your SDK version to eliminate this issue. Feel free to reopen the issue if the suggested solution does not resolve it for you.