rm require_version_examples (#12088)

examples/legacy/pytorch-lightning/lightning_base.py

@@ -28,12 +28,12 @@ from transformers.optimization import (
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
 )
-from transformers.utils.versions import require_version_examples
+from transformers.utils.versions import require_version
 
 
 logger = logging.getLogger(__name__)
 
-require_version_examples("pytorch_lightning>=1.0.4")
+require_version("pytorch_lightning>=1.0.4")
 
 MODEL_MODES = {
     "base": AutoModel,

examples/research_projects/rag-end2end-retriever/lightning_base.py

@@ -29,12 +29,12 @@ from transformers.optimization import (
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
 )
-from transformers.utils.versions import require_version_examples
+from transformers.utils.versions import require_version
 
 
 logger = logging.getLogger(__name__)
 
-require_version_examples("pytorch_lightning>=1.0.4")
+require_version("pytorch_lightning>=1.0.4")
 
 MODEL_MODES = {
     "base": AutoModel,

examples/research_projects/rag/lightning_base.py

@@ -28,12 +28,12 @@ from transformers.optimization import (
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
 )
-from transformers.utils.versions import require_version_examples
+from transformers.utils.versions import require_version
 
 
 logger = logging.getLogger(__name__)
 
-require_version_examples("pytorch_lightning>=1.0.4")
+require_version("pytorch_lightning>=1.0.4")
 
 MODEL_MODES = {
     "base": AutoModel,

examples/research_projects/seq2seq-distillation/lightning_base.py

@@ -28,12 +28,12 @@ from transformers.optimization import (
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
 )
-from transformers.utils.versions import require_version_examples
+from transformers.utils.versions import require_version
 
 
 logger = logging.getLogger(__name__)
 
-require_version_examples("pytorch_lightning>=1.0.4")
+require_version("pytorch_lightning>=1.0.4")
 
 MODEL_MODES = {
     "base": AutoModel,

src/transformers/utils/versions.py

@@ -118,9 +118,3 @@ def require_version_core(requirement):
     """require_version wrapper which emits a core-specific hint on failure"""
     hint = "Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git master"
     return require_version(requirement, hint)
-
-
-def require_version_examples(requirement):
-    """require_version wrapper which emits examples-specific hint on failure"""
-    hint = "Try: pip install -r examples/requirements.txt"
-    return require_version(requirement, hint)

tests/test_versions_utils.py

@@ -15,12 +15,7 @@
 import sys
 
 from transformers.testing_utils import TestCasePlus
-from transformers.utils.versions import (
-    importlib_metadata,
-    require_version,
-    require_version_core,
-    require_version_examples,
-)
+from transformers.utils.versions import importlib_metadata, require_version, require_version_core
 
 
 numpy_ver = importlib_metadata.version("numpy")
@@ -88,14 +83,6 @@ class DependencyVersionCheckTest(TestCasePlus):
             except ValueError as e:
                 self.assertIn("need one of ", str(e))
 
-    def test_examples(self):
-        # the main functionality is tested in `test_core`, this is just the hint check
-        try:
-            require_version_examples("numpy>1000.4.5")
-        except ImportError as e:
-            self.assertIn("is required", str(e))
-            self.assertIn("pip install -r examples/requirements.txt", str(e))
-
     def test_python(self):
 
         # matching requirement