update the Python version requirements for transformers (Project-MONA…

…I#7275)

Part of Project-MONAI#7250.

### Description
Fix the Python version for transformers smaller than 3.10.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: KumoLiu <[email protected]>

docs/requirements.txt

@@ -21,7 +21,7 @@ sphinxcontrib-serializinghtml
 sphinx-autodoc-typehints==1.11.1
 pandas
 einops
-transformers<4.22  # https://github.com/Project-MONAI/MONAI/issues/5157
+transformers<4.22; python_version <= '3.10'  # https://github.com/Project-MONAI/MONAI/issues/5157
 mlflow>=1.28.0
 clearml>=1.10.0rc0
 tensorboardX

requirements-dev.txt

@@ -33,7 +33,7 @@ tifffile; platform_system == "Linux" or platform_system == "Darwin"
 pandas
 requests
 einops
-transformers<4.22  # https://github.com/Project-MONAI/MONAI/issues/5157
+transformers<4.22; python_version <= '3.10'  # https://github.com/Project-MONAI/MONAI/issues/5157
 mlflow>=1.28.0
 clearml>=1.10.0rc0
 matplotlib!=3.5.0

tests/test_transchex.py

@@ -18,7 +18,7 @@
 
 from monai.networks import eval_mode
 from monai.networks.nets.transchex import Transchex
-from tests.utils import skip_if_quick
+from tests.utils import SkipIfAtLeastPyTorchVersion, skip_if_quick
 
 TEST_CASE_TRANSCHEX = []
 for drop_out in [0.4]:
@@ -46,6 +46,7 @@
 
 
 @skip_if_quick
+@SkipIfAtLeastPyTorchVersion((1, 10))
 class TestTranschex(unittest.TestCase):
     @parameterized.expand(TEST_CASE_TRANSCHEX)
     def test_shape(self, input_param, expected_shape):