From 3fa74b2834e80b7e8ffd9a7edfddfc07a949b723 Mon Sep 17 00:00:00 2001
From: "dependabot-preview[bot]"
 <27856297+dependabot-preview[bot]@users.noreply.github.com>
Date: Tue, 13 Oct 2020 17:15:27 +0000
Subject: [PATCH] Bump pytorch-lightning from 0.10.0 to 1.0.0

Bumps [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning) from 0.10.0 to 1.0.0.
- [Release notes](https://github.com/PyTorchLightning/pytorch-lightning/releases)
- [Changelog](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/CHANGELOG.md)
- [Commits](https://github.com/PyTorchLightning/pytorch-lightning/compare/0.10.0...1.0.0)

Signed-off-by: dependabot-preview[bot] <support@dependabot.com>
---
 poetry.lock    | 14 +++++++-------
 pyproject.toml |  2 +-
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 16924c11..805e8a49 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1307,7 +1307,7 @@ python-versions = "*"
 
 [[package]]
 name = "pytorch-lightning"
-version = "0.10.0"
+version = "1.0.0"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 category = "main"
 optional = false
@@ -1323,10 +1323,10 @@ torch = ">=1.3"
 tqdm = ">=4.41.0"
 
 [package.extras]
-all = ["matplotlib (>=3.1.1)", "horovod (>=0.19.2,<0.20.0 || >0.20.0)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "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)", "pytest-cov", "pytest-flake8", "flake8 (>=3.6)", "flake8-black", "check-manifest", "twine (1.13.0)", "scikit-image", "black (>=20.8b1)", "pre-commit (>=1.0)", "cloudpickle (>=1.2)", "nltk (>=3.3)", "torchvision (>=0.4.1)", "gym (>=0.17.0)"]
-dev = ["matplotlib (>=3.1.1)", "horovod (>=0.19.2,<0.20.0 || >0.20.0)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "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)", "pytest-cov", "pytest-flake8", "flake8 (>=3.6)", "flake8-black", "check-manifest", "twine (1.13.0)", "scikit-image", "black (>=20.8b1)", "pre-commit (>=1.0)", "cloudpickle (>=1.2)", "nltk (>=3.3)"]
+all = ["matplotlib (>=3.1.1)", "horovod (>=0.20.1)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "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)", "pytest-cov", "pytest-flake8", "flake8 (>=3.6)", "flake8-black", "check-manifest", "twine (1.13.0)", "scikit-image", "black (>=20.8b1)", "pre-commit (>=1.0)", "cloudpickle (>=1.2)", "nltk (>=3.3)", "torchvision (>=0.4.1)", "gym (>=0.17.0)"]
+dev = ["matplotlib (>=3.1.1)", "horovod (>=0.20.1)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "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)", "pytest-cov", "pytest-flake8", "flake8 (>=3.6)", "flake8-black", "check-manifest", "twine (1.13.0)", "scikit-image", "black (>=20.8b1)", "pre-commit (>=1.0)", "cloudpickle (>=1.2)", "nltk (>=3.3)"]
 examples = ["torchvision (>=0.4.1)", "gym (>=0.17.0)"]
-extra = ["matplotlib (>=3.1.1)", "horovod (>=0.19.2,<0.20.0 || >0.20.0)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)"]
+extra = ["matplotlib (>=3.1.1)", "horovod (>=0.20.1)", "omegaconf (>=2.0.0)", "scikit-learn (>=0.22.2)", "torchtext (>=0.3.1,<0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)"]
 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)", "pytest-cov", "pytest-flake8", "flake8 (>=3.6)", "flake8-black", "check-manifest", "twine (1.13.0)", "scikit-image", "black (>=20.8b1)", "pre-commit (>=1.0)", "cloudpickle (>=1.2)", "nltk (>=3.3)"]
 
@@ -1805,7 +1805,7 @@ github-actions = ["pytest-github-actions-annotate-failures"]
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.6.1"
-content-hash = "3eb23bd9bf3c3062df6650627d38353bf4e75ceef485199b17dd46b2d6c2ed04"
+content-hash = "e73d3074e04f5ed3b546ededa96df5c1168390e35d97b6dd37e169e17eb6d500"
 
 [metadata.files]
 absl-py = [
@@ -2535,8 +2535,8 @@ python-editor = [
     {file = "python_editor-1.0.4-py3.5.egg", hash = "sha256:c3da2053dbab6b29c94e43c486ff67206eafbe7eb52dbec7390b5e2fb05aac77"},
 ]
 pytorch-lightning = [
-    {file = "pytorch-lightning-0.10.0.tar.gz", hash = "sha256:8be8d50ba231a94479c93d722a0ab9bef6758e746bf77b29deb17172c25dcdcb"},
-    {file = "pytorch_lightning-0.10.0-py3-none-any.whl", hash = "sha256:04e7e59f54d8513f5bde208c20b26b4d7cc20585f1e2d25eb50d004b269b75ec"},
+    {file = "pytorch-lightning-1.0.0.tar.gz", hash = "sha256:aeca4091d14b83b73cc30a26c138430150733b8a027bd1cde246d6115f66e924"},
+    {file = "pytorch_lightning-1.0.0-py3-none-any.whl", hash = "sha256:d799d54bacf7f73ccb5bf8e03b6ee44b6a7c52bb209a922c3966f68e1a165d59"},
 ]
 pytz = [
     {file = "pytz-2020.1-py2.py3-none-any.whl", hash = "sha256:a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed"},
diff --git a/pyproject.toml b/pyproject.toml
index eb30108f..4ff59c8f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,7 @@ homepage = "https://pytorch-forecasting.readthedocs.io"
 python= "^3.6.1"
 
 torch = "^1.4"
-pytorch-lightning = "^0.10.0"
+pytorch-lightning = ">=0.10,<1.1"
 optuna = "^2.0.0"
 scipy = "*"
 pandas = "^1.1.0"