Skip to content

chore: ANE can now do 2gb #2593

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

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

chore: ANE can now do 2gb #2593

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-guides/source/mlmodel-utilities.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -175,7 +175,7 @@ compressed_mlmodel = cto.coreml.palettize_weights(mlmodel, config)

## Bisect Model

In certain scenarios, you may want to break a large Core ML model into two smaller models. For instance, if you are deploying a model to run on neural engine on an iPhone, it cannot be larger than 1 GB. If you are working with, say, [Stable Diffusion](https://github.com/apple/ml-stable-diffusion) 1.5 model which is 1.72 GB large (Float 16 precision), then it needs to be broken up into two chunks, each less than 1 GB. The utility `ct.models.utils.bisect_model` will allow you to do exactly that. When using this API, you can also opt-in to package the two chunks of the model into a pipeline model, so that its still a single mlpackage file, with the two models arranged in a sequential manner.
In certain scenarios, you may want to break a large Core ML model into two smaller models. For instance, if you are deploying a model to run on neural engine on an iPhone, it cannot be larger than 2 GB. If you are working with any model larger than 2GB, then it needs to be broken up into two chunks, each less than 2 GB. The utility `ct.models.utils.bisect_model` will allow you to do exactly that. When using this API, you can also opt-in to package the two chunks of the model into a pipeline model, so that its still a single mlpackage file, with the two models arranged in a sequential manner.

The example below shows how to bisect a model, test the accuracy, and save them on disk.

Expand Down