-
Notifications
You must be signed in to change notification settings - Fork 207
Tensorflow custom env #46
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
Comments
This recipe appears to work fine, although I haven't tested the GPU, or newer versions of tensorflow: name: tf-gpu
channels:
- conda-forge
- defaults
dependencies:
- python=3.9
- pip
- pip:
- ipywidgets
- conda
- conda:
- cudatoolkit=10.1
- cudnn=7.6
- nccl=2.4
- pip=20.0
- tensorflow-gpu=2.2
- ipykernel And for CPU: name: tf-cpu
channels:
- conda-forge
- defaults
dependencies:
- python=3.9
- pip
- pip:
- ipywidgets
- conda
- conda:
- tensorflow=2.6.2
- ipykernel |
Hi Rob - we'll take a look at this. Out of curiosity, did you have any TensorFlow projects you were looking at starting right away? |
Hi Emily, we are currently working on one for the competition :) |
Hi, we have a PR for this, but are working on a full notebook to demonstrate the capabilities, so I'm closing this for now. |
@EmilyWebber you have referenced a PR which doesn't include tensorflow from what I can see here |
Request Tensorflow custom env example yml
The text was updated successfully, but these errors were encountered: