Fix PyTorch spelling errors (#13774)

* Fix PyTorch spelling errors

* more

Author: awaelchli

.github/CONTRIBUTING.md

@@ -225,7 +225,7 @@ git push -f
 
 #### How to add new tests?
 
-We are using [pytest](https://docs.pytest.org/en/stable/) in Pytorch Lightning.
+We are using [pytest](https://docs.pytest.org/en/stable/) in PyTorch Lightning.
 
 Here are tutorials:
 

.github/ISSUE_TEMPLATE/documentation.md

@@ -30,4 +30,4 @@ ______________________________________________________________________
 
 - [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.

.github/ISSUE_TEMPLATE/feature_request.md

@@ -38,4 +38,4 @@ ______________________________________________________________________
 
 - [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.

.github/ISSUE_TEMPLATE/refactor.md

@@ -34,4 +34,4 @@ ______________________________________________________________________
 
 - [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.

.github/stale.yml

@@ -14,7 +14,7 @@ issues:
     markComment: >
       This issue has been automatically marked as stale because it hasn't had any recent activity.
       This issue will be closed in 7 days if no further activity occurs.
-      Thank you for your contributions, Pytorch Lightning Team!
+      Thank you for your contributions, PyTorch Lightning Team!
     # Comment to post when closing a stale issue. Set to `false` to disable
     closeComment: false
 

dockers/base-xla/Dockerfile

@@ -77,7 +77,7 @@ ENV \
 RUN pip --version && \
     pip config set global.cache-dir false && \
     conda remove pytorch torchvision && \
-    # Install Pytorch XLA
+    # Install PyTorch XLA
     py_version=${PYTHON_VERSION/./} && \
     gsutil cp "gs://tpu-pytorch/wheels/torch-${XLA_VERSION}-cp${py_version}-cp${py_version}m-linux_x86_64.whl" . && \
     gsutil cp "gs://tpu-pytorch/wheels/torch_xla-${XLA_VERSION}-cp${py_version}-cp${py_version}m-linux_x86_64.whl" . && \

docs/source-app/get_started/training_with_apps.rst

@@ -8,7 +8,7 @@ Evolve a model into an ML system
 
 **Required background:** Basic Python familiarity and complete the :ref:`build_model` guide.
 
-**Goal:** We'll walk you through the two key steps to build your first Lightning App from your existing Pytorch Lightning scripts.
+**Goal:** We'll walk you through the two key steps to build your first Lightning App from your existing PyTorch Lightning scripts.
 
 .. join_slack::
    :align: left
@@ -50,7 +50,7 @@ Inside the ``app.py`` file, add the following code.
 
 .. literalinclude:: ../code_samples/convert_pl_to_app/app.py
 
-This App runs the Pytorch Lightning script contained in the ``train.py`` file using the powerful :class:`~lightning_app.components.python.tracer.TracerPythonScript` component. This is really worth checking out!
+This App runs the PyTorch Lightning script contained in the ``train.py`` file using the powerful :class:`~lightning_app.components.python.tracer.TracerPythonScript` component. This is really worth checking out!
 
 ----
 

docs/source-pytorch/deploy/production_advanced_2.rst

@@ -34,7 +34,7 @@ can save or directly use.
 
 It is recommended that you install the latest supported version of PyTorch to use this feature without limitations.
 
-Once you have the exported model, you can run it in Pytorch or C++ runtime:
+Once you have the exported model, you can run it in PyTorch or C++ runtime:
 
 .. code-block:: python
 

docs/source-pytorch/ecosystem/asr_nlp_tts.rst

@@ -48,7 +48,7 @@ so that each can be configured from .yaml or the Hydra CLI.
 
 .. note:: Every NeMo model has an example configuration file and a corresponding script that contains all configurations needed for training.
 
-The end result of using NeMo, Pytorch Lightning, and Hydra is that
+The end result of using NeMo, PyTorch Lightning, and Hydra is that
 NeMo models all have the same look and feel. This makes it easy to do Conversational AI research
 across multiple domains. NeMo models are also fully compatible with the PyTorch ecosystem.
 

examples/pl_domain_templates/computer_vision_fine_tuning.py

@@ -150,7 +150,7 @@ def val_dataloader(self):
         return self.__dataloader(train=False)
 
 
-#  --- Pytorch-lightning module ---
+#  --- PyTorch Lightning module ---
 
 
 class TransferLearningModel(LightningModule):