I worked around the issue by just installing tensorflow using pip, and the only thing it did actually install wastensorflow_intel-2.11.0-cp39-cp39-win_amd64.whl tensorflow_intelwheels. The above applies for CPU builds. GPU builds should be the Linux ones, via WSL-2. Seehttps://blog.ten...
root@f83803b4dfd4:/#pip install -U tensorflow[and-cuda]Collecting tensorflow[and-cuda] Obtaining dependency informationfortensorflow[and-cuda] from https://files.pythonhosted.org/packages/09/63/25e76075081ea98ec48f23929cefee58be0b42212e38074a9ec5c19e838c/tensorflow-2.14.0-cp311-cp311-manylinux_...
To get started with this feature, you’ll need to make sure you have this latest Insider preview build installed, have a WSL 2 distro installed, ensure your Linux kernel is up to date, and install the right drivers for your GPU. You can fin...
To get started with this feature, you’ll need to make sure you have this latest Insider preview build installed, have a WSL 2 distro installed, ensure your Linux kernel is up to date, and install the right drivers for your GPU. You can find the full instructions on the AI docshere!
GPU model and memory No response Current behavior? I expect to be able to install and import TensorFlow on thepython:3.11-windowsservercoreDocker container, using Poetry. I made a new project with the following pyproject.toml, copied fromPoetry issue 8271 ...
If you see an orders-of-magnitude difference between Windows and WSL, report back because that would be good to know; it is always possible there is something unique going on with your setup. therealkencmentioned this issueSep 17, 2017 ...
Using cached keras-2.11.0-py2.py3-none-any.whl (1.7 MB) Requirement already satisfied: wrapt>=1.11.0 in a:\ai\stable-diffusion-webui-training\venv\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow==2.11.0->-r A:\AI\stable-diffusion-webui-training\extensions\sd_dreambooth_...
I keep getting this error while trying to install to WSL. I have numpy and other requirements. ` note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for numpy Failed to build numpy ...
I switched to: tensorboard==2.16.2 tensorflow[and-cuda]==2.16.1 The tensorflow instructed package ensures that CDNN etc are installed. 2.16 is used to ensure that the error for Ubuntu WSL and Server is fixed As not every GPU is an nvidia, i suggested that we add a requirements_nvidia.tx...