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Fix Python type hints according to Python Docs #5370

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merged 14 commits into from
Nov 10, 2022

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artbataev
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@artbataev artbataev commented Nov 9, 2022

What does this PR do ?

Fix Python type annotations according to the documentation (correct syntax, missing imports, fix incompatible return types).

Collection: [Note which collection this PR will affect]

Changelog

  • remove duplicated type annotations
  • fix tuple annotation in function return types according to python docs
  • add missing imports (only when module is used, but not imported)
  • fix return type in some places where return type is obvious, but not compatible with the annotation (e.g. use Optional[str] instead of str if return None is used)
  • avoid quotes for type annotations in some places (if possible): quotes are useful only for forward declaration, in other cases this can lead to inconsistent or incorrect types.
    • Also, if quotes are used and the necessary type is not imported, IDEs / linters can't correctly infer the type. If the type is imported, some tools (including the LGTM bot) consider such import as unused.

Usage

No executed code is affected (except for missing imports).
Changes only affect type hints by PyCharm or type checkers output (e.g. syntax error in mypy).

Example

Before (incorrect return type – unclear automatic signature in PyCharm):
check_lib_version_incorrect

After (corrected type – PyCharm correctly adds hints):
check_lib_version_correct

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  • Did you add or update any necessary documentation?
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    • Reviewer: Does the PR have correct import guards for all optional libraries?

PR Type:

  • New Feature
  • Bugfix
  • Documentation

If you haven't finished some of the above items you can still open "Draft" PR.

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Anyone in the community is free to review the PR once the checks have passed.
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Additional Information

  • Related to # (issue)

Signed-off-by: Vladimir Bataev <[email protected]>
Signed-off-by: Vladimir Bataev <[email protected]>
Signed-off-by: Vladimir Bataev <[email protected]>
Signed-off-by: Vladimir Bataev <[email protected]>
Signed-off-by: Vladimir Bataev <[email protected]>
@artbataev artbataev force-pushed the fix_python_typing branch 2 times, most recently from 200aa92 to 9dc399e Compare November 9, 2022 12:39
@artbataev artbataev marked this pull request as ready for review November 9, 2022 12:41
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lgtm-com bot commented Nov 9, 2022

This pull request introduces 1 alert when merging c15fb14 into 265056e - view on LGTM.com

new alerts:

  • 1 for Unused import

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lgtm-com bot commented Nov 9, 2022

This pull request fixes 1 alert when merging da3dc14 into 265056e - view on LGTM.com

fixed alerts:

  • 1 for Unused import

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Revert every change wrt str based type - they are there specifically to avoid having to import that which may cause circular import

@@ -53,7 +54,7 @@ def multi_test_epoch_end(self, outputs, dataloader_idx: int = 0):
return {'test_loss': val_loss_mean, 'log': tensorboard_logs}

@classmethod
def list_available_models(cls) -> 'List[PretrainedModelInfo]':
def list_available_models(cls) -> List[PretrainedModelInfo]:
"""
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Revert. We only use str quote for this to avoid circular dependency

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Reverted quotes

@@ -371,7 +371,7 @@ def change_decoding_strategy(self, decoding_cfg: DictConfig):
logging.info(f"Changed decoding strategy to \n{OmegaConf.to_yaml(self.cfg.decoding)}")

@classmethod
def list_available_models(cls) -> Optional[PretrainedModelInfo]:
def list_available_models(cls) -> List[PretrainedModelInfo]:
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Revert all of these

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The purpose of these changes was inconsistent type for list_available_models method:

  • in base class it was Optional[PretrainedModelInfo] (nemo.core.classes.Model)
  • in some classes there was no return (ok for this type)
  • in some classes (e.g. here) a list is returned, so actual type is List[PretrainedModelInfo]
  • in some classes also List[PretrainedModelInfo] was used for type annotation

So, I used List[PretrainedModelInfo] in case of the list was returned, and Optional[List[PretrainedModelInfo]] for base class (to avoid any sort of incompatibility).

I will revert quotes in all places they were used.

Should I really revert all type annotations for list_available_models? Can we keep the type correct and consistent everywhere?

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If I correctly understood our conversation in Slack, it's ok (there were no quotes here, actually List is returned)

@@ -996,7 +996,7 @@ def decoder_joint(self):
return RNNTDecoderJoint(self.decoder, self.joint)

@classmethod
def list_available_models(cls) -> Optional[PretrainedModelInfo]:
def list_available_models(cls) -> List[PretrainedModelInfo]:
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Same here and above

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If I correctly understood our conversation in Slack, it's ok (there were no quotes here, actually List is returned)

@@ -262,7 +262,7 @@ def predict(
return result

@classmethod
def list_available_models(cls) -> Optional[PretrainedModelInfo]:
def list_available_models(cls) -> List[PretrainedModelInfo]:
"""
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Recert

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Same as above

@@ -44,7 +44,6 @@ def bias_dropout_add(x, bias, residual, prob, training):
def bias_dropout_add_fused_train_(
x: torch.Tensor, bias: torch.Tensor, residual: torch.Tensor, prob: float
) -> torch.Tensor:
# type: (Tensor, Tensor, Tensor, float) -> Tensor
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Revert. It is needed for tracing

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Reverted

@@ -558,7 +558,7 @@ def setup_test_data(self, cfg):
pass

@classmethod
def list_available_models(cls) -> 'List[PretrainedModelInfo]':
def list_available_models(cls) -> List[PretrainedModelInfo]:
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Revert

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Reverted quotes

nemo/collections/tts/models/two_stages.py Show resolved Hide resolved
@@ -657,7 +658,7 @@ class Model(Typing, Serialization, FileIO):

@classmethod
@abstractmethod
def list_available_models(cls) -> Optional[PretrainedModelInfo]:
def list_available_models(cls) -> Optional[List[PretrainedModelInfo]]:
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Revert

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If I correctly understood our conversation in Slack, it's ok.

There were no quotes.

Optional[List[PretrainedModelInfo]] to indicate the desired type List[PretrainedModelInfo] and Optional to maintain the compatibility

@@ -239,7 +239,7 @@ def save_to(self, save_path: str):
save_path: Path to .nemo file where model instance should be saved
"""

def maybe_make_save_dir(path: 'pathlib.Path'):
def maybe_make_save_dir(path: Path):
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Revert

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Reverted this

@@ -213,7 +213,7 @@ def run_ort_and_compare(sess, ort_input, output_example, check_tolerance=0.01):
from apex.transformer.tensor_parallel.layers import RowParallelLinear, ColumnParallelLinear
from apex.transformer.functional.fused_softmax import FusedScaleMaskSoftmax

def replace_FusedLayerNorm(n: nn.Module) -> Optional[nn.BatchNorm2d]:
def replace_FusedLayerNorm(n: nn.Module) -> Optional[nn.LayerNorm]:
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Revert for now, it's mixed case use type is incorrect anyway

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Reverted

Signed-off-by: Vladimir Bataev <[email protected]>
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lgtm-com bot commented Nov 9, 2022

This pull request fixes 1 alert when merging b0c8d7b into c5c46ba - view on LGTM.com

fixed alerts:

  • 1 for Unused import

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lgtm-com bot commented Nov 9, 2022

This pull request fixes 1 alert when merging 2c12623 into c5c46ba - view on LGTM.com

fixed alerts:

  • 1 for Unused import

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Looks good. I still dunno what this will help with. MyPy can't possibly work on the entire Nemo toolkit but I guess it's a start

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Thanks for this @artbataev, happy with the base function having Optional[PretrainedModelInfo] as the base Type and the inherited classes changing this to match their return.

MyPy can't possibly work on the entire Nemo toolkit but I guess it's a start

Would be nice to run MyPy over the sub-portions of the code to start, would help to keep things clean :)

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@SeanNaren, @titu1994 MyPy can work with the project, just have to ignore some files + make some small changes. I'm currently using MyPy.
Maybe further I can provide a minimal working prototype.

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lgtm-com bot commented Nov 10, 2022

This pull request fixes 1 alert when merging b712ab8 into 9838b3b - view on LGTM.com

fixed alerts:

  • 1 for Unused import

@titu1994 titu1994 merged commit d4ce66d into NVIDIA:main Nov 10, 2022
1-800-BAD-CODE pushed a commit to 1-800-BAD-CODE/NeMo that referenced this pull request Nov 13, 2022
* Remove duplicated type annotations

Signed-off-by: Vladimir Bataev <[email protected]>

* Fix tuple annotations in function return types

Signed-off-by: Vladimir Bataev <[email protected]>

* Add necessary imports

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* Add necessary imports

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* Fix types in obvious places

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* Fix types in obvious places

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* Fix unused import (avoid quotes in type annotations)

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* Revert "Fix unused import (avoid quotes in type annotations)"

This reverts commit ea433ef.

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hainan-xv pushed a commit to hainan-xv/NeMo that referenced this pull request Nov 29, 2022
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JimmyZhang12 pushed a commit to JimmyZhang12/NeMo that referenced this pull request Dec 14, 2022
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andrusenkoau pushed a commit to andrusenkoau/NeMo that referenced this pull request Jan 5, 2023
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