Ensure that integrations are imported before transformers or ml libs (#7330)

* Ensure that intergrations are imported before transformers or ml libs

* Black reformatter wanted a newline

* isort requests

* black requests

* flake8 requests

src/transformers/__init__.py

@@ -17,6 +17,16 @@ else:
     absl.logging.set_stderrthreshold("info")
     absl.logging._warn_preinit_stderr = False
 
+# Integrations: this needs to come before other ml imports
+# in order to allow any 3rd-party code to initialize properly
+from .integrations import (  # isort:skip
+    is_comet_available,
+    is_optuna_available,
+    is_ray_available,
+    is_tensorboard_available,
+    is_wandb_available,
+)
+
 # Configurations
 from .configuration_albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig
 from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, AutoConfig
@@ -96,15 +106,6 @@ from .file_utils import (
 )
 from .hf_argparser import HfArgumentParser
 
-# Integrations
-from .integrations import (
-    is_comet_available,
-    is_optuna_available,
-    is_ray_available,
-    is_tensorboard_available,
-    is_wandb_available,
-)
-
 # Model Cards
 from .modelcard import ModelCard
 

src/transformers/integrations.py

 # Integrations with other Python libraries
+import math
 import os
 
-import numpy as np
-
-from .trainer_utils import PREFIX_CHECKPOINT_DIR, BestRun
-from .utils import logging
-
-
-logger = logging.get_logger(__name__)
 
 try:
     import comet_ml  # noqa: F401
@@ -16,7 +10,6 @@ try:
 except (ImportError):
     _has_comet = False
 
-
 try:
     import wandb
 
@@ -29,18 +22,6 @@ try:
 except (ImportError, AttributeError):
     _has_wandb = False
 
-try:
-    from torch.utils.tensorboard import SummaryWriter  # noqa: F401
-
-    _has_tensorboard = True
-except ImportError:
-    try:
-        from tensorboardX import SummaryWriter  # noqa: F401
-
-        _has_tensorboard = True
-    except ImportError:
-        _has_tensorboard = False
-
 try:
     import optuna  # noqa: F401
 
@@ -56,6 +37,29 @@ except (ImportError):
     _has_ray = False
 
 
+# No ML framework or transformer imports above this point
+
+from .trainer_utils import PREFIX_CHECKPOINT_DIR, BestRun  # isort:skip
+from .utils import logging  # isort:skip
+
+logger = logging.get_logger(__name__)
+
+
+try:
+    from torch.utils.tensorboard import SummaryWriter  # noqa: F401
+
+    _has_tensorboard = True
+except ImportError:
+    try:
+        from tensorboardX import SummaryWriter  # noqa: F401
+
+        _has_tensorboard = True
+    except ImportError:
+        _has_tensorboard = False
+
+# Integration functions:
+
+
 def is_wandb_available():
     return _has_wandb
 
@@ -135,7 +139,7 @@ def run_hp_search_ray(trainer, n_trials: int, direction: str, **kwargs) -> BestR
         n_jobs = int(kwargs.pop("n_jobs", 1))
         num_gpus_per_trial = trainer.args.n_gpu
         if num_gpus_per_trial / n_jobs >= 1:
-            num_gpus_per_trial = int(np.ceil(num_gpus_per_trial / n_jobs))
+            num_gpus_per_trial = int(math.ceil(num_gpus_per_trial / n_jobs))
         kwargs["resources_per_trial"] = {"gpu": num_gpus_per_trial}
 
     if "reporter" not in kwargs: