Skip to content
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.

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

Update README and demos to note the new pip install command #16

Merged
merged 1 commit into from
Mar 12, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
4 changes: 1 addition & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -16,9 +16,7 @@ Note that the Dataflux Dataset for PyTorch library is in an early preview stage
### Installation

```shell
git clone --recurse-submodules https://github.com/GoogleCloudPlatform/dataflux-pytorch
cd dataflux-pytorch
pip install .
pip install gcs-torch-dataflux
```

### Configuration
Expand Down
4 changes: 2 additions & 2 deletions demo/image-segmentation/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -59,11 +59,11 @@ We will spin up a [Ray cluster](https://docs.ray.io/en/latest/cluster/key-concep

> **_NOTE:_** It would be best to run the following steps on your workstation with a display device so you can see the Ray dashboard using a browser.

1. Clone the `dataflux-pytorch` repository and go to the working directory.
1. Clone the `dataflux-pytorch` repository, install the packages and go to the working directory.
```shell
git clone --recurse-submodules https://github.com/GoogleCloudPlatform/dataflux-pytorch
cd dataflux-pytorch
pip install .
pip install gcs-torch-dataflux
bernardhan33 marked this conversation as resolved.
Show resolved Hide resolved
cd demo/image-segmentation
```
2. [Install Ray](https://docs.ray.io/en/latest/ray-overview/installation.html).
Expand Down
Loading