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4 changes: 2 additions & 2 deletions src/transformers/modeling_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,6 @@
find_pruneable_heads_and_indices,
id_tensor_storage,
is_torch_greater_or_equal_than_1_13,
is_torch_greater_or_equal_than_2_4,
prune_conv1d_layer,
prune_layer,
prune_linear_layer,
Expand Down Expand Up @@ -90,6 +89,7 @@
is_peft_available,
is_remote_url,
is_safetensors_available,
is_torch_greater_or_equal,
is_torch_sdpa_available,
is_torch_xla_available,
logging,
Expand Down Expand Up @@ -5032,7 +5032,7 @@ def tensor_parallel(self, device_mesh):
device_mesh (`torch.distributed.DeviceMesh`):
The device mesh to use for tensor parallelism.
"""
if not is_torch_greater_or_equal_than_2_4:
if not is_torch_greater_or_equal("2.5"):
raise EnvironmentError("tensor parallel is only supported for `torch>=2.5`.")

# Tensor parallelize a nn.Module based on the `_tp_plan` attribute of the module.
Expand Down
4 changes: 2 additions & 2 deletions src/transformers/pytorch_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
from safetensors.torch import storage_ptr, storage_size
from torch import nn

from .utils import is_torch_xla_available, logging
from .utils import is_torch_greater_or_equal, is_torch_xla_available, logging


ALL_LAYERNORM_LAYERS = [nn.LayerNorm]
Expand All @@ -39,7 +39,7 @@
is_torch_greater_or_equal_than_1_12 = parsed_torch_version_base >= version.parse("1.12")


if is_torch_greater_or_equal_than_2_4:
if is_torch_greater_or_equal("2.5"):
from torch.distributed.tensor import Replicate
from torch.distributed.tensor.parallel import (
ColwiseParallel,
Expand Down