From d0c9fe277a012d4ba8b3133ae1b39ff92c9a6dc7 Mon Sep 17 00:00:00 2001
From: Aymeric Augustin <aymeric.augustin@fractalideas.com>
Date: Sat, 21 Dec 2019 16:29:21 +0100
Subject: [PATCH] Fix circular import in transformers.pipelines.

Submodules shouldn't import from their parent in general.
---
 transformers/pipelines.py | 25 ++++++++++---------------
 1 file changed, 10 insertions(+), 15 deletions(-)

diff --git a/transformers/pipelines.py b/transformers/pipelines.py
index 257a891ae91..3ddadc0cbe7 100755
--- a/transformers/pipelines.py
+++ b/transformers/pipelines.py
@@ -29,24 +29,19 @@ from typing import Dict, List, Optional, Tuple, Union
 import numpy as np
 import six
 
-from transformers import (
-    ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
-    AutoConfig,
-    AutoTokenizer,
-    BasicTokenizer,
-    ModelCard,
-    PretrainedConfig,
-    PreTrainedTokenizer,
-    SquadExample,
-    is_tf_available,
-    is_torch_available,
-    squad_convert_examples_to_features,
-)
+from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, AutoConfig
+from .configuration_utils import PretrainedConfig
+from .data import SquadExample, squad_convert_examples_to_features
+from .file_utils import is_tf_available, is_torch_available
+from .modelcard import ModelCard
+from .tokenization_auto import AutoTokenizer
+from .tokenization_bert import BasicTokenizer
+from .tokenization_utils import PreTrainedTokenizer
 
 
 if is_tf_available():
     import tensorflow as tf
-    from transformers import (
+    from .modeling_tf_auto import (
         TFAutoModel,
         TFAutoModelForSequenceClassification,
         TFAutoModelForQuestionAnswering,
@@ -55,7 +50,7 @@ if is_tf_available():
 
 if is_torch_available():
     import torch
-    from transformers import (
+    from .modeling_auto import (
         AutoModel,
         AutoModelForSequenceClassification,
         AutoModelForQuestionAnswering,