[setup] make fairscale and deepspeed setup extras

.github/workflows/self-scheduled.yml

@@ -33,8 +33,7 @@ jobs:
         run: |
           apt -y update && apt install -y libsndfile1-dev
           pip install --upgrade pip
-          pip install .[sklearn,testing,onnxruntime,sentencepiece,speech]
-          pip install deepspeed
+          pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,deepspeed]
 
       - name: Are GPUs recognized by our DL frameworks
         run: |
@@ -156,9 +155,7 @@ jobs:
         run: |
           apt -y update && apt install -y libsndfile1-dev
           pip install --upgrade pip
-          pip install .[sklearn,testing,onnxruntime,sentencepiece,speech]
-          pip install fairscale
-          pip install deepspeed
+          pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,deepspeed,fairscale]
 
       - name: Are GPUs recognized by our DL frameworks
         run: |

docs/source/main_classes/trainer.rst

@@ -274,6 +274,14 @@ Install the library via pypi:
 
     pip install fairscale
 
+or via ``transformers``' ``extras``:
+
+.. code-block:: bash
+
+    pip install transformers[fairscale]
+
+(will become available starting from ``transformers==4.6.0``)
+
 or find more details on `the FairScale's GitHub page <https://github.com/facebookresearch/fairscale/#installation>`__.
 
 If you're still struggling with the build, first make sure to read :ref:`zero-install-notes`.
@@ -419,6 +427,14 @@ Install the library via pypi:
 
     pip install deepspeed
 
+or via ``transformers``' ``extras``:
+
+.. code-block:: bash
+
+    pip install transformers[deepspeed]
+
+(will become available starting from ``transformers==4.6.0``)
+
 or find more details on `the DeepSpeed's GitHub page <https://github.com/microsoft/deepspeed#installation>`__ and
 `advanced install <https://www.deepspeed.ai/tutorials/advanced-install/>`__.
 

setup.py

@@ -90,7 +90,9 @@
     "cookiecutter==1.7.2",
     "dataclasses",
     "datasets",
+    "deepspeed>0.3.13",
     "docutils==0.16.0",
+    "fairscale>0.3",
     "faiss-cpu",
     "fastapi",
     "filelock",
@@ -233,6 +235,8 @@ def run(self):
 extras["modelcreation"] = deps_list("cookiecutter")
 
 extras["sagemaker"] = deps_list("sagemaker")
+extras["deepspeed"] = deps_list("deepspeed")
+extras["fairscale"] = deps_list("fairscale")
 
 extras["serving"] = deps_list("pydantic", "uvicorn", "fastapi", "starlette")
 extras["speech"] = deps_list("soundfile", "torchaudio")

src/transformers/dependency_versions_check.py

@@ -14,7 +14,7 @@
 import sys
 
 from .dependency_versions_table import deps
-from .utils.versions import require_version_core
+from .utils.versions import require_version, require_version_core
 
 
 # define which module versions we always want to check at run time
@@ -41,3 +41,7 @@
         require_version_core(deps[pkg])
     else:
         raise ValueError(f"can't find {pkg} in {deps.keys()}, check dependency_versions_table.py")
+
+
+def dep_version_check(pkg, hint=None):
+    require_version(deps[pkg], hint)

src/transformers/dependency_versions_table.py

@@ -7,7 +7,9 @@
     "cookiecutter": "cookiecutter==1.7.2",
     "dataclasses": "dataclasses",
     "datasets": "datasets",
+    "deepspeed": "deepspeed>0.3.13",
     "docutils": "docutils==0.16.0",
+    "fairscale": "fairscale>0.3",
     "faiss-cpu": "faiss-cpu",
     "fastapi": "fastapi",
     "filelock": "filelock",

src/transformers/integrations.py

@@ -24,8 +24,8 @@
 from copy import deepcopy
 from pathlib import Path
 
+from .dependency_versions_check import dep_version_check
 from .utils import logging
-from .utils.versions import require_version
 
 
 logger = logging.get_logger(__name__)
@@ -324,7 +324,7 @@ def deepspeed_parse_config(ds_config):
 
     If it's already a dict, return a copy of it, so that we can freely modify it.
     """
-    require_version("deepspeed>0.3.13")
+    dep_version_check("deepspeed")
 
     if isinstance(ds_config, dict):
         # Don't modify user's data should they want to reuse it (e.g. in tests), because once we

src/transformers/trainer.py

@@ -54,6 +54,7 @@
 from torch.utils.data.sampler import RandomSampler, SequentialSampler
 
 from .data.data_collator import DataCollator, DataCollatorWithPadding, default_data_collator
+from .dependency_versions_check import dep_version_check
 from .file_utils import (
     WEIGHTS_NAME,
     is_apex_available,
@@ -139,17 +140,14 @@
     import torch_xla.distributed.parallel_loader as pl
 
 if is_fairscale_available():
+    dep_version_check("fairscale")
     import fairscale
+    from fairscale.nn.data_parallel import FullyShardedDataParallel as FullyShardedDDP
     from fairscale.nn.data_parallel import ShardedDataParallel as ShardedDDP
+    from fairscale.nn.wrap import auto_wrap
     from fairscale.optim import OSS
     from fairscale.optim.grad_scaler import ShardedGradScaler
 
-    if version.parse(fairscale.__version__) >= version.parse("0.3"):
-        from fairscale.nn.data_parallel import FullyShardedDataParallel as FullyShardedDDP
-        from fairscale.nn.wrap import auto_wrap
-    else:
-        FullyShardedDDP = None
-
 if is_sagemaker_dp_enabled():
     import smdistributed.dataparallel.torch.distributed as dist
     from smdistributed.dataparallel.torch.parallel.distributed import DistributedDataParallel as DDP

src/transformers/utils/versions.py

@@ -60,6 +60,12 @@ def require_version(requirement: str, hint: Optional[str] = None) -> None:
     Args:
         requirement (:obj:`str`): pip style definition, e.g.,  "tokenizers==0.9.4", "tqdm>=4.27", "numpy"
         hint (:obj:`str`, `optional`): what suggestion to print in case of requirements not being met
+
+    Example::
+
+       require_version("pandas>1.1.2")
+       require_version("numpy>1.18.5", "this is important to have for whatever reason")
+
     """
 
     hint = f"\n{hint}" if hint is not None else ""