Removed outdated steps about running about setup.py

README.md

@@ -31,7 +31,7 @@ If you are starting off with a Jupyter notebook, you can use [this script](https
 
 ## Building locally
 
-The tutorial build is very large and requires a GPU. If your machine does not have a GPU device, you can preview your HTML build without actually downloading the data and running the tutorial code: 
+The tutorial build is very large and requires a GPU. If your machine does not have a GPU device, you can preview your HTML build without actually downloading the data and running the tutorial code:
 
 1. Install required dependencies by running: `pip install -r requirements.txt`.
 
@@ -40,8 +40,6 @@ The tutorial build is very large and requires a GPU. If your machine does not ha
 - If you have a GPU-powered laptop, you can build using `make docs`. This will download the data, execute the tutorials and build the documentation to `docs/` directory. This might take about 60-120 min for systems with GPUs. If you do not have a GPU installed on your system, then see next step.
 - You can skip the computationally intensive graph generation by running `make html-noplot` to build basic html documentation to `_build/html`. This way, you can quickly preview your tutorial.
 
-> If you get **ModuleNotFoundError: No module named 'pytorch_sphinx_theme' make: *** [html-noplot] Error 2** from /tutorials/src/pytorch-sphinx-theme or /venv/src/pytorch-sphinx-theme (while using virtualenv), run `python setup.py install`.
-
 ## Building a single tutorial
 
 You can build a single tutorial by using the `GALLERY_PATTERN` environment variable. For example to run only `neural_style_transfer_tutorial.py`, run:
@@ -59,8 +57,8 @@ The `GALLERY_PATTERN` variable respects regular expressions.
 
 
 ## About contributing to PyTorch Documentation and Tutorials
-* You can find information about contributing to PyTorch documentation in the 
-PyTorch Repo [README.md](https://github.com/pytorch/pytorch/blob/master/README.md) file. 
+* You can find information about contributing to PyTorch documentation in the
+PyTorch Repo [README.md](https://github.com/pytorch/pytorch/blob/master/README.md) file.
 * Additional information can be found in [PyTorch CONTRIBUTING.md](https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md).