Update Pytorch pip-install s/nighlty/specific_version

Summary: As title

Reviewed By: dbort

Differential Revision: D47924577

fbshipit-source-id: 29cc8020498d17d5bd4420e7abf5693c3b5e4a84

Author: digantdesai

README.md

@@ -42,7 +42,7 @@ Compared to the legacy Lite Interpreter, there are some major benefits:
     - [EXIR Spec](/docs/website/docs/ir_spec/00_exir.md)
     - [Exporting manual](/docs/website/docs/export/00_export_manual.md)
     - [Delegate to a backend](/docs/website/docs/tutorials/backend_delegate.md)
-    - [Profiling] (/docs/website/docs/tutorials/profiling.md)
+    - [Profiling](/docs/website/docs/tutorials/profiling.md)
 - [Executorch Google Colab](https://colab.research.google.com/drive/1m8iU4y7CRVelnnolK3ThS2l2gBo7QnAP#scrollTo=1o2t3LlYJQY5)
 
 ## Directory Structure [WIP]

docs/website/docs/tutorials/00_setting_up_executorch.md

@@ -9,7 +9,7 @@ This is a tutorial for building and installing Executorch from the GitHub reposi
 This will install an `executorch` pip package to your conda environment and
 allow you to export your PyTorch model to a flatbuffer file using ExecuTorch.
 
-### Step 1: Set up a conda environment
+### Step 1: Set up a dev environment
 
 To install conda, you can look at the
 [conda installation guide](https://conda.io/projects/conda/en/latest/user-guide/install/index.html).
@@ -19,13 +19,22 @@ conda create -yn executorch python=3.10.0
 conda activate executorch
 
 conda install -c conda-forge flatbuffers
+```
 
+Setting up PyTorch
+```bash
 # Install the nightly builds
 # Note: if you are behind a firewall an appropriate proxy server must be setup
 # for all subsequent steps.
-pip install --force-reinstall --pre torch -i https://download.pytorch.org/whl/nightly/cpu
+TORCH_VERSION=2.1.0.dev20230731
+pip install --force-reinstall --pre torch=="${TORCH_VERSION}" -i https://download.pytorch.org/whl/nightly/cpu
 ```
 
+When getting a new version of the executorch repo (via clone, fetch, or pull),
+you may need to re-install a new version the PyTorch nightly pip package. The
+`TORCH_VERSION` value in this document will be the correct version for the
+corresponsing version of the repo.
+
 ### Step 2: Install the `executorch` pip package
 
 This will install an  `executorch` pip package to your conda environment.

examples/install_requirements.sh

@@ -9,4 +9,12 @@
 # here it is used to install torchvision's nighlty package because the latest
 # variant install an older version of pytorch, 1.8,
 # tested only on linux
-pip install --force-reinstall --pre torchvision -i https://download.pytorch.org/whl/nightly/cpu
+
+# Note:
+# When getting a new version of the executorch repo (via clone, fetch, or pull),
+# you may need to re-install a new version the TorchVision nightly pip package. The
+# `TORCH_VISION_VERSION` value in this document will be the correct version for the
+# corresponsing version of the repo.
+
+TORCH_VISION_VERSION=0.16.0.dev20230731
+pip install --force-reinstall --pre torchvision=="${TORCH_VISION_VERSION}" -i https://download.pytorch.org/whl/nightly/cpu