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+version = "0.1.35" description = "Similarity Learning fine-tuning framework" authors = ["Quaterion Authors "] packages = [ @@ -31,7 +31,7 @@ ipdb = "^0.13.9" sphinx = ">=5.0.1" qdrant-sphinx-theme = { git = "https://github.com/qdrant/qdrant_sphinx_theme.git", branch = "master" } black = "^22.3.0" -torchvision = "^0.12.0" +torchvision = ">=0.12.0" [tool.poetry.extras] diff --git a/quaterion/loss/circle_loss.py b/quaterion/loss/circle_loss.py index 689d0085..f5ff654a 100644 --- a/quaterion/loss/circle_loss.py +++ b/quaterion/loss/circle_loss.py @@ -11,11 +11,13 @@ class CircleLoss(GroupLoss): """Implements Circle Loss as defined in https://arxiv.org/abs/2002.10857. + Args: margin: Margin value to push negative examples. scale_factor: scale factor γ determines the largest scale of each similarity score. - Refer to sections 4.1 and 4.5 in the paper for default values and evaluation of margin and scaling_factor hyperparameters. + Note: + Refer to sections 4.1 and 4.5 in the paper for default values and evaluation of margin and scaling_factor hyperparameters. """ def __init__( diff --git a/quaterion/train/callbacks/cleanup_callback.py b/quaterion/train/callbacks/cleanup_callback.py index 9de81416..d34c048f 100644 --- a/quaterion/train/callbacks/cleanup_callback.py +++ b/quaterion/train/callbacks/cleanup_callback.py @@ -1,11 +1,15 @@ from typing import Optional import pytorch_lightning as pl -from pytorch_lightning.callbacks.base import Callback from pytorch_lightning.trainer.states import TrainerFn from quaterion.train.trainable_model import TrainableModel +try: # fix for version >= 1.9.0 + from pytorch_lightning import Callback +except ImportError: + from pytorch_lightning.callbacks.base import Callback + class CleanupCallback(Callback): def teardown( @@ -18,7 +22,12 @@ def teardown( # If encoders were wrapped, unwrap them pl_module.unwrap_cache() - trainer.reset_train_val_dataloaders() + try: # fix for pl>=1.9.0 + trainer.reset_train_val_dataloaders() + except NotImplementedError: + trainer.reset_train_dataloader() + trainer.reset_test_dataloader() + # Restore Data Loaders if they were modified for cache train_dataloader = trainer.train_dataloader.loaders pl_module.setup_dataloader(train_dataloader) diff --git a/quaterion/train/callbacks/metrics_callback.py b/quaterion/train/callbacks/metrics_callback.py index a4198ef8..54c83787 100644 --- a/quaterion/train/callbacks/metrics_callback.py +++ b/quaterion/train/callbacks/metrics_callback.py @@ -1,5 +1,9 @@ import pytorch_lightning as pl -from pytorch_lightning.callbacks.base import Callback + +try: # fix for version >= 1.9.0 + from pytorch_lightning import Callback +except ImportError: + from pytorch_lightning.callbacks.base import Callback class MetricsCallback(Callback):