Thanks, xrois, I did that, but tensorflow still fails. Here's the result; I'm trying to follow the script in Jupyter Notebooks from VSCode, which many people must also be trying, as they learn VSCode...and tensorflow fails. Here's the script from code.visualstudio.com: https://code.visualstudio.com/docs/datascience/data-science-tutorial#_prepare-the-data But when I run this, following each step, tensorflow on my MacBook Air, M1, 2020, FAILS. I followed xrois's suggestions to install 2.9 and 0.5.0, but it still failed. I'll reinstall the tensor-flow metal 0.7.1 just released, but I don't expect any resolution. I'll report if it works. Anyone have any success running this? How can I report this in a verbose mode to tensorflow? Do they listen? -------Here's the sequence---------- !python3 -m pip install tensorflow-macos==2.9 !pip3 install tensorflow-metal==0.5.0 Run !pip3 list | tensor tensorboard 2.9.1 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 tensorflow-estimator 2.9.0 tensorflow-macos 2.9.0 tensorflow-metal 0.5.0 Then set up model: #run model again from keras.models import Sequential from keras.layers import Dense model = Sequential() model.add(Dense(5, kernel_initializer = 'uniform', activation = 'relu', input_dim = 5)) model.add(Dense(5, kernel_initializer = 'uniform', activation = 'relu')) model.add(Dense(1, kernel_initializer = 'uniform', activation = 'sigmoid')) Everything looks good: Model: "sequential_3" Layer (type) Output Shape Param # dense_3 (Dense) (None, 5) 30 dense_4 (Dense) (None, 5) 30 dense_5 (Dense) (None, 1) 6 ================================================================= Total params: 66 Trainable params: 66 Non-trainable params: 0 then, FAILURE now, compile the model: will accuracy be %61? model.compile(optimizer="adam", loss='binary_crossentropy', metrics=['accuracy']) model.fit(X_train, y_train, batch_size=32, epochs=50) RESULT: And it goes on with many code failures Epoch 1/50 WARNING:tensorflow:AutoGraph could not transform <function Model.make_train_function..train_function at 0x298e87910> and will run it as-is. Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: closure mismatch, requested ('self', 'step_function'), but source function had () To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert WARNING: AutoGraph could not transform <function Model.make_train_function..train_function at 0x298e87910> and will run it as-is. Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: closure mismatch, requested ('self', 'step_function'), but source function had () To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert Unexpected exception formatting exception. Falling back to standard exception