Apply isort and black reformatting

Signed-off-by: akoumpa <[email protected]>
NVIDIA · Sep 20, 2024 · 5464479 · 5464479
1 parent 1b549c5
commit 5464479
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Showing 13 changed files with 17 additions and 11 deletions.
diff --git a/nemo/collections/llm/gpt/model/baichuan.py b/nemo/collections/llm/gpt/model/baichuan.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import AutoConfig, AutoModelForCausalLM

diff --git a/nemo/collections/llm/gpt/model/chatglm.py b/nemo/collections/llm/gpt/model/chatglm.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import AutoConfig, AutoModelForCausalLM

diff --git a/nemo/collections/llm/gpt/model/gemma.py b/nemo/collections/llm/gpt/model/gemma.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import GemmaForCausalLM

diff --git a/nemo/collections/llm/gpt/model/llama.py b/nemo/collections/llm/gpt/model/llama.py
@@ -24,8 +24,8 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 from nemo.utils import logging
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
 
 if TYPE_CHECKING:
     from megatron.core.models.gpt.gpt_model import GPTModel as MCoreGPTModel

diff --git a/nemo/collections/llm/gpt/model/mistral.py b/nemo/collections/llm/gpt/model/mistral.py
@@ -26,7 +26,7 @@
 from nemo.collections.llm.utils import Config
 from nemo.lightning import io, teardown
 from nemo.lightning.pytorch.optim import OptimizerModule
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import MistralConfig, MistralForCausalLM

diff --git a/nemo/collections/llm/gpt/model/mixtral.py b/nemo/collections/llm/gpt/model/mixtral.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.lightning import io, teardown
 from nemo.lightning.pytorch.optim import OptimizerModule
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import MixtralForCausalLM

diff --git a/nemo/collections/llm/gpt/model/nemotron.py b/nemo/collections/llm/gpt/model/nemotron.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import NemotronConfig as HFNemotronConfig

diff --git a/nemo/collections/llm/gpt/model/qwen2.py b/nemo/collections/llm/gpt/model/qwen2.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import AutoModelForCausalLM

diff --git a/nemo/collections/llm/gpt/model/ssm.py b/nemo/collections/llm/gpt/model/ssm.py
@@ -32,9 +32,10 @@
     HAVE_MEGATRON_CORE_OR_TE = False
 
 from megatron.core.transformer.transformer_config import TransformerConfig
+
 from nemo.collections.llm.gpt.model.base import GPTModel, gpt_data_step
 from nemo.lightning import get_vocab_size, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 
 def ssm_forward_step(model, batch) -> torch.Tensor:

diff --git a/nemo/collections/llm/gpt/model/starcoder.py b/nemo/collections/llm/gpt/model/starcoder.py
@@ -22,7 +22,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import GPTBigCodeConfig as HFStarcoderConfig

diff --git a/nemo/collections/llm/gpt/model/starcoder2.py b/nemo/collections/llm/gpt/model/starcoder2.py
@@ -23,7 +23,7 @@
 from nemo.collections.llm.gpt.model.base import GPTConfig, GPTModel
 from nemo.collections.llm.utils import Config
 from nemo.lightning import OptimizerModule, io, teardown
-from nemo.lightning.pytorch.utils import extract_dtypes, dtype_from_hf
+from nemo.lightning.pytorch.utils import dtype_from_hf, extract_dtypes
 
 if TYPE_CHECKING:
     from transformers import Starcoder2Config as HFStarcoder2Config

diff --git a/nemo/lightning/_strategy_lib.py b/nemo/lightning/_strategy_lib.py
@@ -164,11 +164,13 @@ def megatron_lazy_init_context(config) -> Generator[None, None, None]:
     from megatron.core.extensions import transformer_engine as _te
 
     original = _te._get_extra_te_kwargs  # noqa: SLF001
+
     def _get_extra_te_kwargs_meta(c):
         """Forces device to meta"""
         kwargs = original(c)
         kwargs['device'] = 'meta'
         return kwargs
+
     _te._get_extra_te_kwargs = _get_extra_te_kwargs_meta  # noqa: SLF001
 
     _orig_perform_initialization = config.perform_initialization

diff --git a/nemo/lightning/pytorch/utils.py b/nemo/lightning/pytorch/utils.py
@@ -1,5 +1,6 @@
 import torch
 
+
 def extract_dtypes(ckpt):
     """
     Extracts dtype from the input iterator
@@ -13,6 +14,7 @@ def extract_dtypes(ckpt):
             continue
     return dtypes
 
+
 def dtype_from_str(dtype):
     """
     Convert a str precision to equivalent torch dtype.
@@ -25,6 +27,7 @@ def dtype_from_str(dtype):
     else:
         return torch.float32
 
+
 def dtype_from_hf(config):
     """
     Extracts torch dtype from a HF config