Fix circleci cuInit error on Tensorflow >= 2.1.0.

Tensorflow 2.1.0 introduce a new dependency model where pip install tensorflow would install tf with GPU support.
Before it would just install with CPU support, thus CircleCI is looking for NVidia driver version at initialization of the
tensorflow related tests but fails as their is no NVidia Driver running.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

.circleci/config.yml

@@ -10,7 +10,7 @@ jobs:
         parallelism: 1
         steps:
             - checkout
-            - run: sudo pip install .[sklearn,tf,torch,testing]
+            - run: sudo pip install .[sklearn,tf-cpu,torch,testing]
             - run: sudo pip install codecov pytest-cov
             - run: python -m pytest -n 8 --dist=loadfile -s -v ./tests/ --cov
             - run: codecov
@@ -26,7 +26,7 @@ jobs:
         parallelism: 1
         steps:
             - checkout
-            - run: sudo pip install .[mecab,sklearn,tf,torch,testing]
+            - run: sudo pip install .[mecab,sklearn,tf-cpu,torch,testing]
             - run: python -m pytest -n 8 --dist=loadfile -s -v ./tests/
     run_tests_torch:
         working_directory: ~/transformers
@@ -52,7 +52,7 @@ jobs:
         parallelism: 1
         steps:
             - checkout
-            - run: sudo pip install .[sklearn,tf,testing]
+            - run: sudo pip install .[sklearn,tf-cpu,testing]
             - run: sudo pip install codecov pytest-cov
             - run: python -m pytest -n 8 --dist=loadfile -s -v ./tests/ --cov
             - run: codecov

setup.py

@@ -63,6 +63,7 @@ extras = {}
 extras["mecab"] = ["mecab-python3"]
 extras["sklearn"] = ["scikit-learn"]
 extras["tf"] = ["tensorflow"]
+extras["tf-cpu"] = ["tensorflow-cpu"]
 extras["torch"] = ["torch"]
 
 extras["serving"] = ["pydantic", "uvicorn", "fastapi", "starlette"]