[generate] only require an attention mask for mps with torch<2.4 (#32367)

* up

* style

* stopping

src/transformers/generation/stopping_criteria.py

@@ -9,6 +9,8 @@ import numpy as np
 import torch
 from torch.nn import functional as F
 
+from transformers.pytorch_utils import is_torch_greater_or_equal_than_2_4
+
 from ..tokenization_utils_base import PreTrainedTokenizerBase
 from ..utils import add_start_docstrings, logging
 
@@ -485,7 +487,8 @@ class EosTokenCriteria(StoppingCriteria):
     @add_start_docstrings(STOPPING_CRITERIA_INPUTS_DOCSTRING)
     def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> torch.BoolTensor:
         self.eos_token_id = self.eos_token_id.to(input_ids.device)
-        if input_ids.device.type == "mps":
+        if input_ids.device.type == "mps" and not is_torch_greater_or_equal_than_2_4:
+            # TODO: remove this workaround when we stop supporting torch<=2.3
             # https://github.com/pytorch/pytorch/issues/77764#issuecomment-2067838075
             is_done = (
                 input_ids[:, -1]

src/transformers/generation/utils.py

@@ -47,6 +47,7 @@ from ..models.auto import (
     MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
     MODEL_FOR_VISION_2_SEQ_MAPPING,
 )
+from ..pytorch_utils import is_torch_greater_or_equal_than_2_4
 from ..tokenization_utils import ExtensionsTrie
 from ..utils import (
     ModelOutput,
@@ -488,10 +489,10 @@ class GenerationMixin:
             return default_attention_mask
 
         # Otherwise we have may have information -> try to infer the attention mask
-        if inputs.device.type == "mps":
-            # mps does not support torch.isin (https://github.com/pytorch/pytorch/issues/77764)
+        if inputs.device.type == "mps" and not is_torch_greater_or_equal_than_2_4:
+            # mps does not support torch.isin for torch<2.4 (https://github.com/pytorch/pytorch/issues/77764)
             raise ValueError(
-                "Can't infer missing attention mask on `mps` device. Please provide an `attention_mask` or use a different device."
+                "Can't infer missing attention mask on `mps` device for torch<2.4. Please provide an `attention_mask` or upgrade to torch>=2.4"
             )
 
         is_pad_token_in_inputs = (pad_token_id is not None) and (

src/transformers/pytorch_utils.py

@@ -28,6 +28,7 @@ logger = logging.get_logger(__name__)
 
 parsed_torch_version_base = version.parse(version.parse(torch.__version__).base_version)
 
+is_torch_greater_or_equal_than_2_4 = parsed_torch_version_base >= version.parse("2.4")
 is_torch_greater_or_equal_than_2_3 = parsed_torch_version_base >= version.parse("2.3")
 is_torch_greater_or_equal_than_2_2 = parsed_torch_version_base >= version.parse("2.2")
 is_torch_greater_or_equal_than_2_1 = parsed_torch_version_base >= version.parse("2.1")