diff --git a/poetry.lock b/poetry.lock
index 1cbdefc..738f147 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1431,7 +1431,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "pytorch-lightning"
-version = "1.8.5.post0"
+version = "1.8.6"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 category = "main"
 optional = false
@@ -1450,8 +1450,7 @@ tqdm = ">=4.57.0"
 typing-extensions = ">=4.0.0"
 
 [package.extras]
-all = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "colossalai (>=0.1.10)", "coverage (==6.5.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "torchvision (>=0.10.0)", "uvicorn"]
-colossalai = ["colossalai (>=0.1.10)"]
+all = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "torchvision (>=0.10.0)", "uvicorn"]
 deepspeed = ["deepspeed (>=0.6.0)"]
 dev = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "fastapi", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]
 examples = ["gym[classic-control] (>=0.17.0)", "ipython[all]", "torchvision (>=0.10.0)"]
@@ -1459,7 +1458,7 @@ extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.15.2)", "matplot
 fairscale = ["fairscale (>=0.4.5)"]
 hivemind = ["hivemind (==1.1.2)"]
 horovod = ["horovod (>=0.21.2,!=0.24.0)"]
-strategies = ["colossalai (>=0.1.10)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)"]
+strategies = ["deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)"]
 test = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "fastapi", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]
 
 [[package]]
@@ -3088,8 +3087,8 @@ python-json-logger = [
     {file = "python_json_logger-2.0.4-py3-none-any.whl", hash = "sha256:3b03487b14eb9e4f77e4fc2a023358b5394b82fd89cecf5586259baed57d8c6f"},
 ]
 pytorch-lightning = [
-    {file = "pytorch-lightning-1.8.5.post0.tar.gz", hash = "sha256:af5ea24ccdecaba1dababdabb3c6ad2533e1f19ff9344618b873961ce8ffeafc"},
-    {file = "pytorch_lightning-1.8.5.post0-py3-none-any.whl", hash = "sha256:062e05e67bad353fce411fd92dc628e21f58a605747b7c811c9e7c689de9b82c"},
+    {file = "pytorch-lightning-1.8.6.tar.gz", hash = "sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada"},
+    {file = "pytorch_lightning-1.8.6-py3-none-any.whl", hash = "sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d"},
 ]
 pytz = [
     {file = "pytz-2022.6-py2.py3-none-any.whl", hash = "sha256:222439474e9c98fced559f1709d89e6c9cbf8d79c794ff3eb9f8800064291427"},