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update the Python version requirements for transformers #7275

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merged 3 commits into from
Dec 5, 2023
Merged

update the Python version requirements for transformers #7275

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22ed5d6
fix #7250
KumoLiu Dec 1, 2023
e18a579
address comments
KumoLiu Dec 4, 2023
476beaa
Merge branch 'dev' into ci
KumoLiu Dec 4, 2023
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2 changes: 1 addition & 1 deletion docs/requirements.txt
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion requirements-dev.txt
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Expand Up @@ -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
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4 changes: 2 additions & 2 deletions setup.cfg
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Expand Up @@ -65,7 +65,7 @@ all =
imagecodecs
pandas
einops
transformers<4.22
transformers<4.22; python_version <= '3.10'
mlflow>=1.28.0
clearml>=1.10.0rc0
matplotlib
Expand Down Expand Up @@ -123,7 +123,7 @@ pandas =
einops =
einops
transformers =
transformers<4.22
transformers<4.22; python_version <= '3.10'
mlflow =
mlflow
matplotlib =
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3 changes: 2 additions & 1 deletion tests/test_transchex.py
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Expand Up @@ -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]:
Expand Down Expand Up @@ -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):
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