![]() ![]() ![]() jupyter kernelspec listĥ. python -m ipykernel install -name testĥ.3 Check the kernels of jupyter Notebook, and use the following command to list the kernels. Add your virtual environment to JupyterBab, so it appears as a valid kernel. Make sure that TensorFlow and JupyterLab are installed with pip or conda. Create your virtual environment, such as a conda environment. com ipykernelĥ.2 Next, add the kernel of Jupyter Notebook, where the name is followed by the named kernel name, here I named it test, which is consistent with the virtual environment name. Install TensorFlow with Jupyter Lab, from Jupyter Notebook, in a virtual environment. Configure the kernel of jupyter notebook 5.1 First install ipykernel, or use the Douban source, a timeout error occurs when using the default source, and the download is too slow. Then enter python, use tensorflow, check the versionĥ. anaconda prompt cudatoolkitcudnn conda install cudatoolkit 11.2 conda install cudnn 8.1 tensorflow-gpu2.6.0 pip install tensorflow-gpu 2.6.0 pip listkeras2.6.0 pip uninstall keras pip install keras 2.6.0 numpy1.19numpy1.19numpy pip uninstall numpy pip install numpy 1. After the second time, tensorflow was installed successfullyĤ. This time, although there was a red wrapt, it finally showed that wrapt has been installed successfully. I am using a pip version 21.0.1 although it is from another version of. I tried to use python 3.6.4 and 3.7.8 both with CUDA 10.0 and cuDNN 7.4. There may be an error here, I don’t know how to solve it for the time being, but I first pip uninstall protobufĪfter uninstalling protobuf, run again pip install -i https: / /pypi. Im trying to install tensorflow 1.15 in Windows 10. Download tensorflow from Douban source, version 1.15.0, cpu version pip install -i https: / /pypi. Enter the virtual environment activate testģ. ![]() Create a python virtual environment, set python=3.6.5, and name it test C:\Users\luo>conda create -name test python=3. ![]()
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