Conversion scripts shouldn't have relative imports (#6991)

src/transformers/convert_albert_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import AlbertConfig, AlbertForPreTraining, load_tf_weights_in_albert
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_bart_original_pytorch_checkpoint_to_pytorch.py

@@ -31,8 +31,7 @@ from transformers import (
     BartTokenizer,
 )
 from transformers.modeling_bart import _make_linear_from_emb
-
+from transformers.utils import logging
-from .utils import logging
 
 
 FAIRSEQ_MODELS = ["bart.large", "bart.large.mnli", "bart.large.cnn", "bart_xsum/model.pt"]

src/transformers/convert_bert_original_tf2_checkpoint_to_pytorch.py

@@ -15,8 +15,7 @@ import tensorflow as tf
 import torch
 
 from transformers import BertConfig, BertModel
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_bert_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_electra_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import ElectraConfig, ElectraForMaskedLM, ElectraForPreTraining, load_tf_weights_in_electra
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_gpt2_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import CONFIG_NAME, WEIGHTS_NAME, GPT2Config, GPT2Model, load_tf_weights_in_gpt2
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_mobilebert_original_tf_checkpoint_to_pytorch.py

@@ -3,8 +3,7 @@ import argparse
 import torch
 
 from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_openai_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import CONFIG_NAME, WEIGHTS_NAME, OpenAIGPTConfig, OpenAIGPTModel, load_tf_weights_in_openai_gpt
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_pytorch_checkpoint_to_tf2.py

@@ -78,8 +78,7 @@ from transformers import (
     load_pytorch_checkpoint_in_tf2_model,
 )
 from transformers.file_utils import hf_bucket_url
-
+from transformers.utils import logging
-from .utils import logging
 
 
 if is_torch_available():

src/transformers/convert_reformer_trax_checkpoint_to_pytorch.py

@@ -22,8 +22,7 @@ import numpy as np
 import torch
 
 from transformers import ReformerConfig, ReformerModelWithLMHead
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_roberta_original_pytorch_checkpoint_to_pytorch.py

@@ -26,8 +26,7 @@ from packaging import version
 
 from transformers.modeling_bert import BertIntermediate, BertLayer, BertOutput, BertSelfAttention, BertSelfOutput
 from transformers.modeling_roberta import RobertaConfig, RobertaForMaskedLM, RobertaForSequenceClassification
-
+from transformers.utils import logging
-from .utils import logging
 
 
 if version.parse(fairseq.__version__) < version.parse("0.9.0"):

src/transformers/convert_t5_original_tf_checkpoint_to_pytorch.py

@@ -20,8 +20,7 @@ import argparse
 import torch
 
 from transformers import T5Config, T5Model, load_tf_weights_in_t5
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py

@@ -31,8 +31,7 @@ from transformers import (
     load_tf_weights_in_transfo_xl,
 )
 from transformers.tokenization_transfo_xl import CORPUS_NAME, VOCAB_FILES_NAMES
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_xlm_original_pytorch_checkpoint_to_pytorch.py

@@ -23,8 +23,7 @@ import torch
 
 from transformers import CONFIG_NAME, WEIGHTS_NAME
 from transformers.tokenization_xlm import VOCAB_FILES_NAMES
-
+from transformers.utils import logging
-from .utils import logging
 
 
 logging.set_verbosity_info()

src/transformers/convert_xlnet_original_tf_checkpoint_to_pytorch.py

@@ -29,8 +29,7 @@ from transformers import (
     XLNetLMHeadModel,
     load_tf_weights_in_xlnet,
 )
-
+from transformers.utils import logging
-from .utils import logging
 
 
 GLUE_TASKS_NUM_LABELS = {