Revert falcon exception (#26472)

* Revert "Falcon: fix revision propagation (#26006)"

This reverts commit 118c676ef3124423e5d062b665f05cde55bc9a90.

* Revert "Put Falcon back (#25960)"

This reverts commit 22a69f1d.

src/transformers/models/auto/auto_factory.py

@@ -32,12 +32,7 @@ from ...utils import (
     logging,
     requires_backends,
 )
-from .configuration_auto import (
-    AutoConfig,
-    model_type_to_module_name,
-    replace_list_option_in_docstrings,
-    sanitize_code_revision,
-)
+from .configuration_auto import AutoConfig, model_type_to_module_name, replace_list_option_in_docstrings
 
 
 logger = logging.get_logger(__name__)
@@ -471,9 +466,6 @@ class _BaseAutoModelClass:
         commit_hash = kwargs.pop("_commit_hash", None)
         adapter_kwargs = kwargs.pop("adapter_kwargs", None)
 
-        revision = hub_kwargs.pop("revision", None)
-        hub_kwargs["revision"] = sanitize_code_revision(pretrained_model_name_or_path, revision, trust_remote_code)
-
         token = hub_kwargs.pop("token", None)
         use_auth_token = hub_kwargs.pop("use_auth_token", None)
         if use_auth_token is not None:

src/transformers/models/auto/configuration_auto.py

@@ -1031,9 +1031,6 @@ class AutoConfig:
         trust_remote_code = kwargs.pop("trust_remote_code", None)
         code_revision = kwargs.pop("code_revision", None)
 
-        revision = kwargs.pop("revision", None)
-        kwargs["revision"] = sanitize_code_revision(pretrained_model_name_or_path, revision, trust_remote_code)
-
         config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
         has_remote_code = "auto_map" in config_dict and "AutoConfig" in config_dict["auto_map"]
         has_local_code = "model_type" in config_dict and config_dict["model_type"] in CONFIG_MAPPING
@@ -1081,24 +1078,3 @@ class AutoConfig:
                 "match!"
             )
         CONFIG_MAPPING.register(model_type, config, exist_ok=exist_ok)
-
-
-def sanitize_code_revision(pretrained_model_name_or_path, revision, trust_remote_code):
-    if revision in ["main", None] and not trust_remote_code:
-        revision_dict = {
-            "tiiuae/falcon-7b": "4e2d06f0a7c6370ebabbc30c6f59377ae8f73d76",
-            "tiiuae/falcon-7b-instruct": "f8dac3fff96d5debd43edf56fb4e1abcfffbef28",
-            "tiiuae/falcon-40b": "f1ba7d328c06aa6fbb4a8afd3c756f46d7e6b232",
-            "tiiuae/falcon-40b-instruct": "7475ff8cfc36ed9a962b658ae3c33391566a85a5",
-        }
-
-        if isinstance(pretrained_model_name_or_path, str) and pretrained_model_name_or_path.lower() in revision_dict:
-            revision = revision_dict.get(pretrained_model_name_or_path.lower())
-            logger.warning(
-                "The Falcon model was initialized without `trust_remote_code=True`, and will therefore leverage the "
-                f"transformers library implementation. {pretrained_model_name_or_path}'s revision is set to a version that doesn't "
-                f"leverage remote code ({revision}).\n\nIn order to override this, please set a revision manually or set "
-                "`trust_remote_code=True`."
-            )
-
-    return revision

src/transformers/models/falcon/configuration_falcon.py

@@ -13,12 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """ Falcon configuration"""
-import os
-from typing import Optional, Union
-
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging
-from ..auto.configuration_auto import sanitize_code_revision
 
 
 logger = logging.get_logger(__name__)
@@ -193,26 +189,3 @@ class FalconConfig(PretrainedConfig):
             )
         if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor <= 1.0:
             raise ValueError(f"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}")
-
-    @classmethod
-    def from_pretrained(
-        cls,
-        pretrained_model_name_or_path: Union[str, os.PathLike],
-        cache_dir: Optional[Union[str, os.PathLike]] = None,
-        force_download: bool = False,
-        local_files_only: bool = False,
-        token: Optional[Union[str, bool]] = None,
-        revision: str = "main",
-        **kwargs,
-    ) -> "PretrainedConfig":
-        revision = sanitize_code_revision(pretrained_model_name_or_path, revision, kwargs.get("trust_remote_code"))
-
-        return super().from_pretrained(
-            pretrained_model_name_or_path,
-            cache_dir=cache_dir,
-            force_download=force_download,
-            local_files_only=local_files_only,
-            token=token,
-            revision=revision,
-            **kwargs,
-        )

src/transformers/models/falcon/modeling_falcon.py

@@ -15,7 +15,6 @@
 """PyTorch Falcon model."""
 
 import math
-import os
 from typing import Optional, Tuple, Union
 
 import torch
@@ -39,7 +38,6 @@ from ...utils import (
     is_flash_attn_available,
     logging,
 )
-from ..auto.configuration_auto import sanitize_code_revision
 from .configuration_falcon import FalconConfig
 
 
@@ -977,37 +975,6 @@ class FalconPreTrainedModel(PreTrainedModel):
             for layer_past in past_key_value
         )
 
-    @classmethod
-    def from_pretrained(
-        cls,
-        pretrained_model_name_or_path: Optional[Union[str, os.PathLike]],
-        *model_args,
-        config: Optional[Union[str, os.PathLike]] = None,
-        cache_dir: Optional[Union[str, os.PathLike]] = None,
-        ignore_mismatched_sizes: bool = False,
-        force_download: bool = False,
-        local_files_only: bool = False,
-        token: Optional[Union[str, bool]] = None,
-        revision: str = "main",
-        use_safetensors: bool = None,
-        **kwargs,
-    ):
-        revision = sanitize_code_revision(pretrained_model_name_or_path, revision, kwargs.get("trust_remote_code"))
-
-        return super().from_pretrained(
-            pretrained_model_name_or_path,
-            *model_args,
-            config=config,
-            cache_dir=cache_dir,
-            ignore_mismatched_sizes=ignore_mismatched_sizes,
-            force_download=force_download,
-            local_files_only=local_files_only,
-            token=token,
-            revision=revision,
-            use_safetensors=use_safetensors,
-            **kwargs,
-        )
-
 
 @add_start_docstrings(
     "The bare Falcon Model transformer outputting raw hidden-states without any specific head on top.",

tests/models/falcon/test_modeling_falcon.py

@@ -20,16 +20,13 @@ import unittest
 from parameterized import parameterized
 
 from transformers import (
-    AutoConfig,
-    AutoModel,
     AutoModelForCausalLM,
     AutoTokenizer,
     FalconConfig,
     is_torch_available,
     set_seed,
 )
-from transformers.testing_utils import CaptureLogger, require_bitsandbytes, require_torch, slow, tooslow, torch_device
-from transformers.utils import logging as transformers_logging
+from transformers.testing_utils import require_bitsandbytes, require_torch, slow, torch_device
 
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
@@ -538,132 +535,3 @@ class FalconLanguageGenerationTest(unittest.TestCase):
         self.assertLess(unpadded_inputs.input_ids.shape[-1], padded_inputs.input_ids.shape[-1])  # left-padding exists
         self.assertEqual(unpadded_gen_text[0], expected_output)
         self.assertEqual(padded_gen_text[0], expected_output)
-
-
-# TODO Lysandre: Remove this in version v4.34
-class FalconOverrideTest(unittest.TestCase):
-    supported_checkpoints = [
-        "tiiuae/falcon-7b",
-        "tiiuae/falcon-7b-instruct",
-        "tiiuae/falcon-40b",
-        "tiiuae/falcon-40b-instruct",
-    ]
-
-    latest_revisions = {
-        "tiiuae/falcon-7b": "f7796529e36b2d49094450fb038cc7c4c86afa44",
-        "tiiuae/falcon-7b-instruct": "eb410fb6ffa9028e97adb801f0d6ec46d02f8b07",
-        "tiiuae/falcon-40b": "561820f7eef0cc56a31ea38af15ca1acb07fab5d",
-        "tiiuae/falcon-40b-instruct": "ca78eac0ed45bf64445ff0687fabba1598daebf3",
-    }
-
-    def test_config_without_remote_code(self):
-        logger_ = transformers_logging.get_logger("transformers.models.auto.configuration_auto")
-
-        for supported_checkpoint in self.supported_checkpoints:
-            with CaptureLogger(logger_) as cm:
-                config1 = FalconConfig.from_pretrained(supported_checkpoint, trust_remote_code=False)
-                config2 = FalconConfig.from_pretrained(supported_checkpoint)
-
-            self.assertIn(
-                "The Falcon model was initialized without `trust_remote_code=True`, and will therefore leverage the "
-                "transformers library implementation.",
-                cm.out,
-            )
-
-            self.assertEqual(config1.to_dict(), config2.to_dict())
-
-    def test_auto_config_without_remote_code(self):
-        logger_ = transformers_logging.get_logger("transformers.models.auto.configuration_auto")
-
-        for supported_checkpoint in self.supported_checkpoints:
-            with CaptureLogger(logger_) as cm:
-                config1 = AutoConfig.from_pretrained(supported_checkpoint, trust_remote_code=False)
-                config2 = AutoConfig.from_pretrained(supported_checkpoint)
-
-            self.assertIn(
-                "The Falcon model was initialized without `trust_remote_code=True`, and will therefore leverage the "
-                "transformers library implementation.",
-                cm.out,
-            )
-
-            self.assertEqual(config1.to_dict(), config2.to_dict())
-
-    def test_config_with_remote_code(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = FalconConfig.from_pretrained(supported_checkpoint, trust_remote_code=True)
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])
-
-    def test_auto_config_with_remote_code(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = AutoConfig.from_pretrained(supported_checkpoint, trust_remote_code=True)
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])
-
-    def test_config_with_specific_revision(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = FalconConfig.from_pretrained(
-                supported_checkpoint, revision=self.latest_revisions[supported_checkpoint], trust_remote_code=True
-            )
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])
-
-    def test_auto_config_with_specific_revision(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = AutoConfig.from_pretrained(
-                supported_checkpoint, revision=self.latest_revisions[supported_checkpoint], trust_remote_code=True
-            )
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])
-
-    @tooslow
-    def test_model_without_remote_code(self):
-        logger_ = transformers_logging.get_logger("transformers.models.auto.configuration_auto")
-        for supported_checkpoint in self.supported_checkpoints:
-            with CaptureLogger(logger_) as cm:
-                config1 = FalconModel.from_pretrained(supported_checkpoint, trust_remote_code=False).config
-                config2 = FalconModel.from_pretrained(supported_checkpoint).config
-
-                # trust_remote_code only works with Auto Classes !
-                config3 = FalconModel.from_pretrained(supported_checkpoint, trust_remote_code=True).config
-
-            self.assertIn(
-                "The Falcon model was initialized without `trust_remote_code=True`, and will therefore leverage the "
-                "transformers library implementation.",
-                cm.out,
-            )
-
-            self.assertEqual(config1.to_dict(), config2.to_dict())
-            self.assertEqual(config1.to_dict(), config3.to_dict())
-
-    @tooslow
-    def test_auto_model_without_remote_code(self):
-        logger_ = transformers_logging.get_logger("transformers.models.auto.configuration_auto")
-        for supported_checkpoint in self.supported_checkpoints:
-            with CaptureLogger(logger_) as cm:
-                config1 = AutoModel.from_pretrained(supported_checkpoint, trust_remote_code=False).config
-                config2 = AutoModel.from_pretrained(supported_checkpoint).config
-
-            self.assertIn(
-                "The Falcon model was initialized without `trust_remote_code=True`, and will therefore leverage the "
-                "transformers library implementation.",
-                cm.out,
-            )
-
-            self.assertEqual(config1.to_dict(), config2.to_dict())
-
-    @tooslow
-    def test_auto_model_with_remote_code(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = AutoModel.from_pretrained(supported_checkpoint, trust_remote_code=True).config
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])
-
-    @tooslow
-    def test_auto_model_with_specific_revision(self):
-        for supported_checkpoint in self.supported_checkpoints:
-            config = AutoModel.from_pretrained(
-                supported_checkpoint, revision=self.latest_revisions[supported_checkpoint], trust_remote_code=True
-            ).config
-
-            self.assertIn(config.model_type, ["RefinedWebModel", "RefinedWeb"])