#ANACONDA INSTALL M1 MAC CODE#

#ANACONDA INSTALL M1 MAC CODE#

Running A Sample Code (MNIST) (ds_train, ds_test), ds_info = tfds.load(ĭef normalize_img( image, label): '''Normalizes images: `uint8` -> `float32`.''' return tf.cast(image, tf.float32) / 255., label Print( 'Num CPUs Available: ', len(tf._physical_devices( 'CPU'))) Print( 'Num GPUs Available: ', len(tf._physical_devices( 'GPU'))) Print( 'TensorFlow version:', tf._version_) Execute: jupyter-lab to open a Jupyter Notebook and run the following code:.Execute: pip install tensorflow-datasets pandas jupyterlab to install relevant dependencies to run sample code.Execute: pip install tensorflow-macos to install MacOS arm64 version of TensorFlow.If that doesnt work, then head here and follow the instructions. Step 5: If you’ve installed Python but had trouble installing Jupyter, then go to your Terminal and type pip3 install jupyter. Once you’re done, head back up to Step 3. Run: pip install tensorflow-metal to install Apple's Metal GPU APIs for TensorFlow Note that the normal Anaconda download won’t work here, as the M1 computer isn’t 64-bit.Run: conda install -c apple tensorflow-deps to install Apple's TensorFlow dependencies.Activate the environment: conda activate tf.Create an anaconda environment: conda create -n tf.Install miniforge from brew: brew install miniforge.Anaconda and Miniforge cannot co-exist together. Note: Uninstall Anaconda/Anaconda Navigator and other related previously installed version of conda-based installations.

Anaconda install m1 mac