Skip to content

[Enhancement] upgrade onnx to 1.13.0 to resolve security issue #1793

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Mar 9, 2023
Merged

[Enhancement] upgrade onnx to 1.13.0 to resolve security issue #1793

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/en/get_started.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ It supports FFI such as C, C++, Python, C#, Java and so on.

## Prerequisites

In order to do an end-to-end model deployment, MMDeploy requires Python 3.6+ and PyTorch 1.5+.
In order to do an end-to-end model deployment, MMDeploy requires Python 3.6+ and PyTorch 1.8+.

**Step 0.** Download and install Miniconda from the [official website](https://docs.conda.io/en/latest/miniconda.html).

Expand Down
4 changes: 2 additions & 2 deletions requirements/runtime.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,8 @@ matplotlib
mmengine
multiprocess
numpy
onnx>=1.8.0
onnx>=1.13.0
prettytable
protobuf<=3.20.1
protobuf<=3.20.2
six
terminaltables