erip: LGTM!
diff --git a/docs/source/handlers.rst b/docs/source/handlers.rst
index 196ce8ea..96b18175 100644
--- a/docs/source/handlers.rst
+++ b/docs/source/handlers.rst
@@ -5,6 +5,7 @@ Complete list of handlers
 -------------------------
 
     - :class:`~ignite.handlers.Checkpoint`
+    - :class:`~ignite.handlers.checkpoint.BaseSaveHandler`
     - :class:`~ignite.handlers.DiskSaver`
     - :class:`~ignite.handlers.ModelCheckpoint`
     - :class:`~ignite.handlers.EarlyStopping`
@@ -17,6 +18,9 @@ Complete list of handlers
 .. autoclass:: Checkpoint
     :members: load_objects
 
+.. autoclass:: ignite.handlers.checkpoint.BaseSaveHandler
+    :members: __call__, remove
+
 .. autoclass:: DiskSaver
 
 .. autoclass:: ModelCheckpoint
diff --git a/ignite/contrib/handlers/neptune_logger.py b/ignite/contrib/handlers/neptune_logger.py
index e342cf30..434d6182 100644
--- a/ignite/contrib/handlers/neptune_logger.py
+++ b/ignite/contrib/handlers/neptune_logger.py
@@ -1,7 +1,7 @@
 import numbers
 import tempfile
 import warnings
-from typing import Mapping
+from typing import Mapping, Optional
 
 import torch
 
@@ -574,7 +574,7 @@ class NeptuneSaver(BaseSaveHandler):
     def __init__(self, neptune_logger: NeptuneLogger):
         self._logger = neptune_logger
 
-    def __call__(self, checkpoint: Mapping, filename: str) -> None:
+    def __call__(self, checkpoint: Mapping, filename: str, metadata: Optional[Mapping] = None) -> None:
 
         with tempfile.NamedTemporaryFile() as tmp:
             torch.save(checkpoint, tmp.name)
diff --git a/ignite/contrib/handlers/trains_logger.py b/ignite/contrib/handlers/trains_logger.py
index 28e520a4..7cae3d24 100644
--- a/ignite/contrib/handlers/trains_logger.py
+++ b/ignite/contrib/handlers/trains_logger.py
@@ -643,8 +643,8 @@ class TrainsSaver(DiskSaver):
         if output_uri:
             self.task.output_uri = output_uri
 
-    def __call__(self, checkpoint: Mapping, filename: str) -> None:
-        super(TrainsSaver, self).__call__(checkpoint, filename)
+    def __call__(self, checkpoint: Mapping, filename: str, metadata: Optional[Mapping] = None) -> None:
+        super(TrainsSaver, self).__call__(checkpoint, filename, metadata)
 
         try:
             import trains
diff --git a/ignite/handlers/checkpoint.py b/ignite/handlers/checkpoint.py
index 80342f52..dd62d70f 100644
--- a/ignite/handlers/checkpoint.py
+++ b/ignite/handlers/checkpoint.py
@@ -15,14 +15,39 @@ __all__ = ["Checkpoint", "DiskSaver", "ModelCheckpoint", "BaseSaveHandler"]
 
 
 class BaseSaveHandler(metaclass=ABCMeta):
-    """Base class for save handlers"""
+    """Base class for save handlers
+
+    Methods to override:
+
+    - :meth:`~ignite.handlers.checkpoint.BaseSaveHandler.__call__`
+    - :meth:`~ignite.handlers.checkpoint.BaseSaveHandler.remove`
+    """
 
     @abstractmethod
-    def __call__(self, checkpoint: Mapping, filename: str) -> None:
+    def __call__(self, checkpoint: Mapping, filename: str, metadata: Optional[Mapping] = None) -> None:
+        """Method to save `checkpoint` with `filename`. Additionally, metadata dictionary is provided.
+
+        Metadata contains:
+
+        - `basename`: file prefix (if provided) with checkpoint name, e.g. `epoch_checkpoint`.
+        - `score_name`: score name if provided, e.g `val_acc`.
+        - `priority`: checkpoint priority value (higher is better), e.g. `12` or `0.6554435`
+
+        Args:
+            checkpoint (Mapping): checkpoint dictionary to save.
+            filename (str): filename associated with checkpoint.
+            metadata (Mapping, optional): metadata on checkpoint to save.
+
+        """
         pass
 
     @abstractmethod
     def remove(self, filename: str) -> None:
+        """Method to remove saved checkpoint.
+
+        Args:
+            filename (str): filename associated with checkpoint.
+        """
         pass
 
 
@@ -34,9 +59,9 @@ class Checkpoint:
     Args:
         to_save (Mapping): Dictionary with the objects to save. Objects should have implemented `state_dict` and `
             load_state_dict` methods.
-        save_handler (callable or `BaseSaveHandler`): Method or callable class to use to save engine and other provided
-            objects. Function receives two objects: checkpoint as a dictionary and filename. If `save_handler` is
-            callable class, it can
+        save_handler (callable or :class:`~ignite.handlers.checkpoint.BaseSaveHandler`): Method or callable class to
+            use to save engine and other provided objects. Function receives two objects: checkpoint as a dictionary
+            and filename. If `save_handler` is callable class, it can
             inherit of :class:`~ignite.handlers.checkpoint.BaseSaveHandler` and optionally implement `remove` method to
             keep a fixed number of saved checkpoints. In case if user needs to save engine's checkpoint on a disk,
             `save_handler` can be defined with :class:`~ignite.handlers.DiskSaver`.
@@ -184,7 +209,7 @@ class Checkpoint:
         self.global_step_transform = global_step_transform
 
     @property
-    def last_checkpoint(self) -> str:
+    def last_checkpoint(self) -> Optional[str]:
         if len(self._saved) < 1:
             return None
         return self._saved[-1].filename
@@ -237,7 +262,16 @@ class Checkpoint:
             if any(item.filename == filename for item in self._saved):
                 return
 
-            self.save_handler(checkpoint, filename)
+            metadata = {
+                "basename": "{}{}".format(self._fname_prefix, name),
+                "score_name": self._score_name,
+                "priority": priority,
+            }
+
+            try:
+                self.save_handler(checkpoint, filename, metadata)
+            except TypeError:
+                self.save_handler(checkpoint, filename)
 
             self._saved.append(Checkpoint.Item(priority, filename))
             self._saved.sort(key=lambda item: item[0])
@@ -350,7 +384,7 @@ class DiskSaver(BaseSaveHandler):
                     "".format(matched, dirname)
                 )
 
-    def __call__(self, checkpoint: Mapping, filename: str) -> None:
+    def __call__(self, checkpoint: Mapping, filename: str, metadata: Optional[Mapping] = None) -> None:
         path = os.path.join(self.dirname, filename)
 
         if not self._atomic:

Add meta-data as optional arg for BaseSaveHandler
## 🚀 Feature

According to https://github.com/pytorch/ignite/issues/1056#issuecomment-632919883
it could be helpful to provide checkpoint metadata to a save handler. 

Idea is to have
```python
class BaseSaveHandler(metaclass=ABCMeta):
    """Base class for save handlers"""

    @abstractmethod
    def __call__(self, checkpoint: Mapping, filename: str, metadata: Mapping =None) -> None:
        pass
```

We also need to make sure to update all existing save handlers like `DiskSaver`, `NeptuneSaver` etc.

diff --git a/tests/ignite/handlers/test_checkpoint.py b/tests/ignite/handlers/test_checkpoint.py
index c646bc85..495d9272 100644
--- a/tests/ignite/handlers/test_checkpoint.py
+++ b/tests/ignite/handlers/test_checkpoint.py
@@ -87,13 +87,15 @@ def test_checkpoint_default():
         checkpointer(trainer)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_0.pt".format(name))
+        metadata = {"basename": name, "score_name": None, "priority": 0}
+        save_handler.assert_called_with(obj, "{}_0.pt".format(name), metadata)
 
         trainer.state.epoch = 12
         trainer.state.iteration = 1234
         checkpointer(trainer)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_1234.pt".format(name))
+        metadata["priority"] = 1234
+        save_handler.assert_called_with(obj, "{}_1234.pt".format(name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_0.pt".format(name))
         assert checkpointer.last_checkpoint == "{}_1234.pt".format(name)
@@ -128,13 +130,15 @@ def test_checkpoint_with_global_step_transform():
         if len(filename_prefix) > 0:
             filename_prefix += "_"
 
-        save_handler.assert_called_with(obj, "{}{}_1.pt".format(filename_prefix, name))
+        metadata = {"basename": "{}{}".format(filename_prefix, name), "score_name": None, "priority": 1}
+        save_handler.assert_called_with(obj, "{}{}_1.pt".format(filename_prefix, name), metadata)
 
         trainer.state.epoch = 12
         trainer.state.iteration = 1234
         checkpointer(trainer)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}{}_12.pt".format(filename_prefix, name))
+        metadata["priority"] = 1234
+        save_handler.assert_called_with(obj, "{}{}_12.pt".format(filename_prefix, name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}{}_1.pt".format(filename_prefix, name))
         assert checkpointer.last_checkpoint == "{}{}_12.pt".format(filename_prefix, name)
@@ -162,7 +166,8 @@ def test_checkpoint_with_score_function():
         checkpointer(trainer)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_0.7700.pt".format(name))
+        metadata = {"basename": name, "score_name": None, "priority": 0.77}
+        save_handler.assert_called_with(obj, "{}_0.7700.pt".format(name), metadata)
 
         trainer.state.epoch = 12
         trainer.state.iteration = 1234
@@ -170,7 +175,8 @@ def test_checkpoint_with_score_function():
 
         checkpointer(trainer)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_0.7800.pt".format(name))
+        metadata["priority"] = 0.78
+        save_handler.assert_called_with(obj, "{}_0.7800.pt".format(name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_0.7700.pt".format(name))
         assert checkpointer.last_checkpoint == "{}_0.7800.pt".format(name)
@@ -199,7 +205,8 @@ def test_checkpoint_with_score_name_and_function():
         checkpointer(trainer)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_loss=-0.7700.pt".format(name))
+        metadata = {"basename": name, "score_name": "loss", "priority": -0.77}
+        save_handler.assert_called_with(obj, "{}_loss=-0.7700.pt".format(name), metadata)
 
         trainer.state.epoch = 12
         trainer.state.iteration = 1234
@@ -207,7 +214,8 @@ def test_checkpoint_with_score_name_and_function():
 
         checkpointer(trainer)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_loss=-0.7600.pt".format(name))
+        metadata["priority"] = -0.76
+        save_handler.assert_called_with(obj, "{}_loss=-0.7600.pt".format(name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_loss=-0.7700.pt".format(name))
         assert checkpointer.last_checkpoint == "{}_loss=-0.7600.pt".format(name)
@@ -241,14 +249,16 @@ def test_checkpoint_with_int_score():
         checkpointer(trainer)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_{}1.pt".format(name, score_name))
+        metadata = {"basename": name, "score_name": score_name[:-1] if len(score_name) > 0 else None, "priority": 1}
+        save_handler.assert_called_with(obj, "{}_{}1.pt".format(name, score_name), metadata)
 
         trainer.state.epoch = 12
         trainer.state.iteration = 1234
 
         checkpointer(trainer)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_{}12.pt".format(name, score_name))
+        metadata["priority"] = 12
+        save_handler.assert_called_with(obj, "{}_{}12.pt".format(name, score_name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_{}1.pt".format(name, score_name))
         assert checkpointer.last_checkpoint == "{}_{}12.pt".format(name, score_name)
@@ -284,14 +294,16 @@ def test_checkpoint_with_score_function_and_trainer_epoch():
         checkpointer(evaluator)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_11_0.7700.pt".format(name))
+        metadata = {"basename": name, "score_name": None, "priority": 0.77}
+        save_handler.assert_called_with(obj, "{}_11_0.7700.pt".format(name), metadata)
 
         trainer.state.epoch = 12
         evaluator.state.metrics["val_acc"] = 0.78
 
         checkpointer(evaluator)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_12_0.7800.pt".format(name))
+        metadata["priority"] = 0.78
+        save_handler.assert_called_with(obj, "{}_12_0.7800.pt".format(name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_11_0.7700.pt".format(name))
         assert checkpointer.last_checkpoint == "{}_12_0.7800.pt".format(name)
@@ -322,14 +334,16 @@ def test_checkpoint_with_score_name_and_function_and_trainer_epoch():
         checkpointer(evaluator)
         assert save_handler.call_count == 1
 
-        save_handler.assert_called_with(obj, "{}_11_val_acc=0.7700.pt".format(name))
+        metadata = {"basename": name, "score_name": "val_acc", "priority": 0.77}
+        save_handler.assert_called_with(obj, "{}_11_val_acc=0.7700.pt".format(name), metadata)
 
         trainer.state.epoch = 12
         evaluator.state.metrics["val_acc"] = 0.78
 
         checkpointer(evaluator)
         assert save_handler.call_count == 2
-        save_handler.assert_called_with(obj, "{}_12_val_acc=0.7800.pt".format(name))
+        metadata["priority"] = 0.78
+        save_handler.assert_called_with(obj, "{}_12_val_acc=0.7800.pt".format(name), metadata)
         assert save_handler.remove.call_count == 1
         save_handler.remove.assert_called_with("{}_11_val_acc=0.7700.pt".format(name))
         assert checkpointer.last_checkpoint == "{}_12_val_acc=0.7800.pt".format(name)
@@ -379,6 +393,20 @@ def test_checkpoint_last_checkpoint_on_score():
     assert checkpointer.last_checkpoint == "{}_val_acc=0.9000.pt".format("model")
 
 
+def test_checkpoint_save_handler_callable():
+    def save_handler(c, f):
+        assert f == "model_12.pt"
+
+    to_save = {"model": DummyModel()}
+
+    checkpointer = Checkpoint(to_save, save_handler=save_handler,)
+
+    trainer = Engine(lambda e, b: None)
+
+    trainer.state = State(epoch=1, iteration=12)
+    checkpointer(trainer)
+
+
 def test_model_checkpoint_args_validation(dirname):
     existing = os.path.join(dirname, "existing_dir")
     nonempty = os.path.join(dirname, "nonempty")

pip install -e .
parse_log_pytest
requirements.txt
pytest
apt-get update apt-get install -y gcc pip install torch torchvision -f https://download.pytorch.org/whl/cpu/torch_stable.html -U
3.7
requirements-dev.txt
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
absl-py==2.1.0
alembic==1.12.1
arrow==1.2.3
attrs==24.2.0
boto3==1.33.13
botocore==1.33.13
bravado==11.1.0
bravado-core==6.1.1
cached-property==1.5.2
cachetools==5.5.2
certifi @ file:///croot/certifi_1671487769961/work/certifi
charset-normalizer==3.4.1
click==7.1.2
cloudpickle==2.2.1
codecov==2.1.13
coverage==7.2.7
cycler==0.11.0
databricks-cli==0.18.0
dill==0.3.7
docker==6.1.3
entrypoints==0.4
exceptiongroup==1.2.2
execnet==2.0.2
Flask==1.1.4
fonttools==4.38.0
fqdn==1.5.1
funcsigs==1.0.2
furl==2.1.4
future==1.0.0
gitdb==4.0.12
GitPython==3.1.44
google-auth==2.38.0
google-auth-oauthlib==0.4.6
greenlet==3.1.1
grpcio==1.62.3
gunicorn==20.1.0
gym==0.26.2
gym-notices==0.0.8
hestia==0.6.0
humanfriendly==10.0
idna==3.10
importlib-metadata==5.2.0
importlib-resources==5.12.0
iniconfig==2.0.0
isoduration==20.11.0
itsdangerous==1.1.0
Jinja2==2.10.3
jmespath==1.0.1
joblib==1.3.2
jsonpatch==1.33
jsonpointer==3.0.0
jsonref==1.1.0
jsonschema==4.17.3
kiwisolver==1.4.5
Mako==1.2.4
Markdown==3.4.4
MarkupSafe==2.1.5
marshmallow==3.0.0rc5
matplotlib==3.5.3
mlflow==1.30.1
monotonic==1.6
msgpack==1.0.5
neptune-client==1.11.1
networkx==2.6.3
numpy==1.21.6
oauthlib==3.2.2
orderedmultidict==1.0.1
packaging==21.3
pandas==1.3.5
pathlib2==2.3.7.post1
Pillow==9.5.0
pkgutil_resolve_name==1.3.10
pluggy==1.2.0
polyaxon-client==0.6.1
polyaxon-schemas==0.6.1
polystores==0.2.5
prometheus-client==0.17.1
prometheus_flask_exporter==0.23.2
protobuf==3.20.3
psutil==7.0.0
pyasn1==0.5.1
pyasn1-modules==0.3.0
PyJWT==2.8.0
pynvml==11.5.3
pyparsing==3.1.4
pyrsistent==0.19.3
pytest==7.4.4
pytest-cov==4.1.0
pytest-xdist==3.5.0
python-dateutil==2.9.0.post0
-e git+https://github.com/pytorch/ignite.git@c012166f93e56f8e9538741f5745a5010983ba38#egg=pytorch_ignite
pytz==2022.7.1
PyYAML==6.0.1
querystring-parser==1.2.4
requests==2.31.0
requests-file==2.1.0
requests-oauthlib==2.0.0
requests-toolbelt==1.0.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rhea==0.5.5
rsa==4.9
s3transfer==0.8.2
scikit-learn==1.0.2
scipy==1.7.3
simplejson==3.20.1
six==1.17.0
smmap==5.0.2
SQLAlchemy==1.4.54
sqlparse==0.4.4
swagger-spec-validator==3.0.3
tabulate==0.9.0
tensorboard==2.11.2
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorboardX==2.6.2.2
threadpoolctl==3.1.0
tomli==2.0.1
torch==1.13.1+cpu
torchvision==0.14.1+cpu
tornado==6.2
tqdm==4.67.1
trains==0.16.4
typing_extensions==4.7.1
uri-template==1.3.0
urllib3==1.26.20
visdom==0.2.4
webcolors==1.13
websocket-client==1.6.1
Werkzeug==1.0.1
zipp==3.15.0

name: ignite
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - ca-certificates=2025.2.25=h06a4308_0
  - certifi=2022.12.7=py37h06a4308_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1w=h7f8727e_0
  - pip=22.3.1=py37h06a4308_0
  - python=3.7.16=h7a1cb2a_0
  - readline=8.2=h5eee18b_0
  - setuptools=65.6.3=py37h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - wheel=0.38.4=py37h06a4308_0
  - xz=5.6.4=h5eee18b_1
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - absl-py==2.1.0
      - alembic==1.12.1
      - arrow==1.2.3
      - attrs==24.2.0
      - boto3==1.33.13
      - botocore==1.33.13
      - bravado==11.1.0
      - bravado-core==6.1.1
      - cached-property==1.5.2
      - cachetools==5.5.2
      - charset-normalizer==3.4.1
      - click==7.1.2
      - cloudpickle==2.2.1
      - codecov==2.1.13
      - coverage==7.2.7
      - cycler==0.11.0
      - databricks-cli==0.18.0
      - dill==0.3.7
      - docker==6.1.3
      - entrypoints==0.4
      - exceptiongroup==1.2.2
      - execnet==2.0.2
      - flask==1.1.4
      - fonttools==4.38.0
      - fqdn==1.5.1
      - funcsigs==1.0.2
      - furl==2.1.4
      - future==1.0.0
      - gitdb==4.0.12
      - gitpython==3.1.44
      - google-auth==2.38.0
      - google-auth-oauthlib==0.4.6
      - greenlet==3.1.1
      - grpcio==1.62.3
      - gunicorn==20.1.0
      - gym==0.26.2
      - gym-notices==0.0.8
      - hestia==0.6.0
      - humanfriendly==10.0
      - idna==3.10
      - importlib-metadata==5.2.0
      - importlib-resources==5.12.0
      - iniconfig==2.0.0
      - isoduration==20.11.0
      - itsdangerous==1.1.0
      - jinja2==2.10.3
      - jmespath==1.0.1
      - joblib==1.3.2
      - jsonpatch==1.33
      - jsonpointer==3.0.0
      - jsonref==1.1.0
      - jsonschema==4.17.3
      - kiwisolver==1.4.5
      - mako==1.2.4
      - markdown==3.4.4
      - markupsafe==2.1.5
      - marshmallow==3.0.0rc5
      - matplotlib==3.5.3
      - mlflow==1.30.1
      - monotonic==1.6
      - msgpack==1.0.5
      - neptune-client==1.11.1
      - networkx==2.6.3
      - numpy==1.21.6
      - oauthlib==3.2.2
      - orderedmultidict==1.0.1
      - packaging==21.3
      - pandas==1.3.5
      - pathlib2==2.3.7.post1
      - pillow==9.5.0
      - pkgutil-resolve-name==1.3.10
      - pluggy==1.2.0
      - polyaxon-client==0.6.1
      - polyaxon-schemas==0.6.1
      - polystores==0.2.5
      - prometheus-client==0.17.1
      - prometheus-flask-exporter==0.23.2
      - protobuf==3.20.3
      - psutil==7.0.0
      - pyasn1==0.5.1
      - pyasn1-modules==0.3.0
      - pyjwt==2.8.0
      - pynvml==11.5.3
      - pyparsing==3.1.4
      - pyrsistent==0.19.3
      - pytest==7.4.4
      - pytest-cov==4.1.0
      - pytest-xdist==3.5.0
      - python-dateutil==2.9.0.post0
      - pytorch-ignite==0.4.0
      - pytz==2022.7.1
      - pyyaml==6.0.1
      - querystring-parser==1.2.4
      - requests==2.31.0
      - requests-file==2.1.0
      - requests-oauthlib==2.0.0
      - requests-toolbelt==1.0.0
      - rfc3339-validator==0.1.4
      - rfc3986-validator==0.1.1
      - rhea==0.5.5
      - rsa==4.9
      - s3transfer==0.8.2
      - scikit-learn==1.0.2
      - scipy==1.7.3
      - simplejson==3.20.1
      - six==1.17.0
      - smmap==5.0.2
      - sqlalchemy==1.4.54
      - sqlparse==0.4.4
      - swagger-spec-validator==3.0.3
      - tabulate==0.9.0
      - tensorboard==2.11.2
      - tensorboard-data-server==0.6.1
      - tensorboard-plugin-wit==1.8.1
      - tensorboardx==2.6.2.2
      - threadpoolctl==3.1.0
      - tomli==2.0.1
      - torch==1.13.1+cpu
      - torchvision==0.14.1+cpu
      - tornado==6.2
      - tqdm==4.67.1
      - trains==0.16.4
      - typing-extensions==4.7.1
      - uri-template==1.3.0
      - urllib3==1.26.20
      - visdom==0.2.4
      - webcolors==1.13
      - websocket-client==1.6.1
      - werkzeug==1.0.1
      - zipp==3.15.0
prefix: /opt/conda/envs/ignite

tests/ignite/handlers/test_checkpoint.py::test_checkpoint_default tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_global_step_transform tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_score_function tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_score_name_and_function tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_int_score tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_score_function_and_trainer_epoch tests/ignite/handlers/test_checkpoint.py::test_checkpoint_with_score_name_and_function_and_trainer_epoch
tests/ignite/handlers/test_checkpoint.py::test_checkpoint_wrong_input tests/ignite/handlers/test_checkpoint.py::test_checkpoint_score_function_wrong_output tests/ignite/handlers/test_checkpoint.py::test_checkpoint_last_checkpoint tests/ignite/handlers/test_checkpoint.py::test_checkpoint_last_checkpoint_on_score tests/ignite/handlers/test_checkpoint.py::test_checkpoint_save_handler_callable tests/ignite/handlers/test_checkpoint.py::test_model_checkpoint_args_validation tests/ignite/handlers/test_checkpoint.py::test_model_checkpoint_simple_recovery tests/ignite/handlers/test_checkpoint.py::test_model_checkpoint_simple_recovery_from_existing_non_empty tests/ignite/handlers/test_checkpoint.py::test_disk_saver_atomic tests/ignite/handlers/test_checkpoint.py::test_last_k tests/ignite/handlers/test_checkpoint.py::test_disabled_n_saved tests/ignite/handlers/test_checkpoint.py::test_best_k tests/ignite/handlers/test_checkpoint.py::test_best_k_with_suffix tests/ignite/handlers/test_checkpoint.py::test_removes_each_score_at_most_once tests/ignite/handlers/test_checkpoint.py::test_with_engine tests/ignite/handlers/test_checkpoint.py::test_with_state_dict tests/ignite/handlers/test_checkpoint.py::test_valid_state_dict_save tests/ignite/handlers/test_checkpoint.py::test_save_model_optimizer_lr_scheduler_with_state_dict tests/ignite/handlers/test_checkpoint.py::test_checkpoint_load_objects tests/ignite/handlers/test_checkpoint.py::test_checkpoint_load_objects_from_saved_file tests/ignite/handlers/test_checkpoint.py::test_load_checkpoint_with_different_num_classes tests/ignite/handlers/test_checkpoint.py::test_disksaver_wrong_input
ignite/contrib/handlers/trains_logger.py ignite/handlers/checkpoint.py ignite/contrib/handlers/neptune_logger.py docs/source/handlers.rst
ignite/contrib/handlers/trains_logger.py ignite/handlers/checkpoint.py ignite/contrib/handlers/neptune_logger.py docs/source/handlers.rst