From b165de6dcc3708a0e42d1e9e9149a540c0520ce7 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 17 Mar 2021 09:05:19 +0000
Subject: [PATCH] chore(deps): bump pytorch-lightning from 1.2.3 to 1.2.4

Bumps [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning) from 1.2.3 to 1.2.4.
- [Release notes](https://github.com/PyTorchLightning/pytorch-lightning/releases)
- [Changelog](https://github.com/PyTorchLightning/pytorch-lightning/blob/1.2.4/CHANGELOG.md)
- [Commits](https://github.com/PyTorchLightning/pytorch-lightning/compare/1.2.3...1.2.4)

Signed-off-by: dependabot[bot] <support@github.com>
---
 poetry.lock | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index b37c138a..6acd552d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1679,7 +1679,7 @@ six = ">=1.5"
 
 [[package]]
 name = "pytorch-lightning"
-version = "1.2.3"
+version = "1.2.4"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 category = "main"
 optional = false
@@ -1695,14 +1695,14 @@ torch = ">=1.4"
 tqdm = ">=4.41.0"
 
 [package.extras]
-all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.0)", "codecov (>=2.1)", "pytest (>=5.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
-cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.0)", "codecov (>=2.1)", "pytest (>=5.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
-cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
-dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.0)", "codecov (>=2.1)", "pytest (>=5.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
+all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-cov (>2.10)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
+cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-cov (>2.10)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
+cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
+dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-cov (>2.10)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
 examples = ["torchvision (>=0.5)", "gym (>=0.17.0)"]
-extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
+extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
 loggers = ["neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"]
-test = ["coverage (>=5.0)", "codecov (>=2.1)", "pytest (>=5.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
+test = ["coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-cov (>2.10)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
 
 [[package]]
 name = "pytz"
@@ -3700,8 +3700,8 @@ python-dateutil = [
     {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
 ]
 pytorch-lightning = [
-    {file = "pytorch-lightning-1.2.3.tar.gz", hash = "sha256:856698e1652020b1030155e643a9e03e621e1e6b123f4406ae77fd36f7bea439"},
-    {file = "pytorch_lightning-1.2.3-py3-none-any.whl", hash = "sha256:f8d0dedc3dc1a030de639e2e7a47e2595dd51088f4d947f634ab0c982376d517"},
+    {file = "pytorch-lightning-1.2.4.tar.gz", hash = "sha256:bcf9d963ef6e0faa2d9a2149e16c212e1d471c1b4b555392b1e59632c02da9ab"},
+    {file = "pytorch_lightning-1.2.4-py3-none-any.whl", hash = "sha256:fefb0124558bc3c26b1b12a37ddb01d5c892131e21404bc9c28daba4d5f26f57"},
 ]
 pytz = [
     {file = "pytz-2020.4-py2.py3-none-any.whl", hash = "sha256:5c55e189b682d420be27c6995ba6edce0c0a77dd67bfbe2ae6607134d5851ffd"},