Update installer.py to use cu118 instead of 121 (#5069)

## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [X] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ ] No, because:

      
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No


## Description


## Related Tickets & Documents

<!--
For pull requests that relate or close an issue, please include them
below. 

For example having the text: "closes #1234" would connect the current
pull
request to issue 1234.  And when we merge the pull request, Github will
automatically close the issue.
-->

- Related Issue #
- Closes #

## QA Instructions, Screenshots, Recordings

<!-- 
Please provide steps on how to test changes, any hardware or 
software specifications as well as any other pertinent information. 
-->

## Added/updated tests?

- [ ] Yes
- [ ] No : _please replace this line with details on why tests
      have not been included_

## [optional] Are there any post deployment tasks we need to perform?
This commit is contained in:
Millun Atluri 2023-11-11 10:40:47 +11:00 committed by GitHub
commit 9ccfa34e04
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -460,10 +460,10 @@ def get_torch_source() -> (Union[str, None], str):
url = "https://download.pytorch.org/whl/cpu"
if device == "cuda":
url = "https://download.pytorch.org/whl/cu121"
url = "https://download.pytorch.org/whl/cu118"
optional_modules = "[xformers,onnx-cuda]"
if device == "cuda_and_dml":
url = "https://download.pytorch.org/whl/cu121"
url = "https://download.pytorch.org/whl/cu118"
optional_modules = "[xformers,onnx-directml]"
# in all other cases, Torch wheels should be coming from PyPi as of Torch 1.13