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fairseq/distributed/utils.py

@@ -19,9 +19,10 @@
 
 import torch
 import torch.distributed as dist
-from fairseq.dataclass.configs import DistributedTrainingConfig, FairseqConfig
 from omegaconf import open_dict
 
+from fairseq.dataclass.configs import DistributedTrainingConfig, FairseqConfig
+
 try:
     import torch_xla.core.xla_model as xm
 except ImportError:

fairseq/modules/__init__.py

@@ -9,15 +9,14 @@
     RotaryPositionMultiHeadedAttention,
 )
 from .fp32_group_norm import Fp32GroupNorm
+from .gelu import gelu, gelu_accurate
 from .grad_multiply import GradMultiply
 from .gumbel_vector_quantizer import GumbelVectorQuantizer
 from .layer_norm import Fp32LayerNorm, LayerNorm
 from .multihead_attention import MultiheadAttention
 from .positional_encoding import RelPositionalEncoding
 from .same_pad import SamePad, SamePad2d
 from .transpose_last import TransposeLast
-from .gelu import gelu, gelu_accurate
-
 
 __all__ = [
     "Fp32GroupNorm",

fairseq/optim/fairseq_optimizer.py

@@ -3,10 +3,12 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+from collections import defaultdict
+
 import torch
+
 from fairseq import utils
 from fairseq.dataclass.utils import gen_parser_from_dataclass
-from collections import defaultdict
 
 
 class FairseqOptimizer(object):