Moving transformers package import statements to relative imports in some files (#5796)

* Moving rom transformers statements to relative imports in some files under src/

* Import order

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

src/transformers/configuration_encoder_decoder.py

@@ -69,7 +69,7 @@ class EncoderDecoderConfig(PretrainedConfig):
         decoder_config = kwargs.pop("decoder")
         decoder_model_type = decoder_config.pop("model_type")
 
-        from transformers import AutoConfig
+        from .configuration_auto import AutoConfig
 
         self.encoder = AutoConfig.for_model(encoder_model_type, **encoder_config)
         self.decoder = AutoConfig.for_model(decoder_model_type, **decoder_config)

src/transformers/modeling_encoder_decoder.py

@@ -56,12 +56,12 @@ class EncoderDecoderModel(PreTrainedModel):
         super().__init__(config)
 
         if encoder is None:
-            from transformers import AutoModel
+            from .modeling_auto import AutoModel
 
             encoder = AutoModel.from_config(config.encoder)
 
         if decoder is None:
-            from transformers import AutoModelForCausalLM
+            from .modeling_auto import AutoModelForCausalLM
 
             decoder = AutoModelForCausalLM.from_config(config.decoder)
 
@@ -159,7 +159,7 @@ class EncoderDecoderModel(PreTrainedModel):
             from .modeling_auto import AutoModelForCausalLM
 
             if "config" not in kwargs_decoder:
-                from transformers import AutoConfig
+                from .configuration_auto import AutoConfig
 
                 decoder_config = AutoConfig.from_pretrained(decoder_pretrained_model_name_or_path)
                 if decoder_config.is_decoder is False:

src/transformers/modeling_marian.py

@@ -15,8 +15,8 @@
 """PyTorch MarianMTModel model, ported from the Marian C++ repo."""
 
 
-from transformers.configuration_marian import MarianConfig
-from transformers.modeling_bart import BartForConditionalGeneration
+from .configuration_marian import MarianConfig
+from .modeling_bart import BartForConditionalGeneration
 
 
 MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST = [

src/transformers/modeling_mobilebert.py

@@ -32,8 +32,6 @@ import torch.nn.functional as F
 from torch import nn
 from torch.nn import CrossEntropyLoss, MSELoss
 
-from transformers.modeling_bert import BertIntermediate
-
 from .activations import gelu, gelu_new, swish
 from .configuration_mobilebert import MobileBertConfig
 from .file_utils import (
@@ -43,6 +41,7 @@ from .file_utils import (
     add_start_docstrings_to_callable,
     replace_return_docstrings,
 )
+from .modeling_bert import BertIntermediate
 from .modeling_outputs import (
     BaseModelOutput,
     BaseModelOutputWithPooling,

src/transformers/modeling_tf_electra.py

@@ -2,8 +2,7 @@ import logging
 
 import tensorflow as tf
 
-from transformers import ElectraConfig
-
+from .configuration_electra import ElectraConfig
 from .file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_callable
 from .modeling_tf_bert import ACT2FN, TFBertEncoder, TFBertPreTrainedModel
 from .modeling_tf_utils import (

src/transformers/testing_utils.py

@@ -2,7 +2,7 @@ import os
 import unittest
 from distutils.util import strtobool
 
-from transformers.file_utils import _tf_available, _torch_available, _torch_tpu_available
+from .file_utils import _tf_available, _torch_available, _torch_tpu_available
 
 
 SMALL_MODEL_IDENTIFIER = "julien-c/bert-xsmall-dummy"

src/transformers/tokenization_auto.py

@@ -18,8 +18,6 @@
 import logging
 from collections import OrderedDict
 
-from transformers.configuration_mobilebert import MobileBertConfig
-
 from .configuration_auto import (
     AlbertConfig,
     AutoConfig,
@@ -44,6 +42,7 @@ from .configuration_auto import (
     XLNetConfig,
 )
 from .configuration_marian import MarianConfig
+from .configuration_mobilebert import MobileBertConfig
 from .configuration_utils import PretrainedConfig
 from .tokenization_albert import AlbertTokenizer
 from .tokenization_bart import BartTokenizer, MBartTokenizer