Add a requirements file for multi-backend cuda #472
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Thanks! This is great. I actually edited the requirements.txt earlier, please fix the conflicts. |
Not totally sure if we should merge this now, or wait for tf 2.14, but figured I could put it up anyway so people could use it. With tensorflow/tensorflow#59825 tf-nightly can be installed using cuda pip packages. Which means we can write a recipe for cross framework GPU support. To install a local development version... ```shell pip install -r requirements-cuda.txt python pip_build.py --install ``` To install the official pip version... ```shell pip install -r requirements-cuda.txt pip install keras-core --no-deps ``` Note that `--no-deps` is required to avoid pulling in `tensorflow` and `tf-nightly` at the same time. This should work in a clean python env, as long nvidia drivers are >=520.61.05. No conda or cuda shenanigans required!
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fchollet
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Jul 16, 2023
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Not totally sure if we should merge this now, or wait for tf 2.14, but figured I could put it up anyway so people could use it. With tensorflow/tensorflow#59825 tf-nightly can be installed using cuda pip packages. Which means we can write a recipe for cross framework GPU support.
To install a local development version...
To install the official pip version...
Note that
--no-depsis required to avoid pulling intensorflowandtf-nightlyat the same time.This should work in a clean python env, as long nvidia drivers are >= 520. No conda or cuda shenanigans required!