Hello I use Mac Pro M2 16GB This is my code. It is very basic code. `model = Sequential() model.add(LSTM(units=50, input_shape=(X_train.shape[1], X_train.shape[2]))) model.add(Dense(units=1)) model.compile(optimizer='adam', loss='mse') model.fit(X_train, y_train, epochs=50, batch_size=16) train_predict = model.predict(X_train) test_predict = model.predict(X_test) train_predict = scaler.inverse_transform(train_predict) y_train = scaler.inverse_transform(y_train) test_predict = scaler.inverse_transform(test_predict) y_test = scaler.inverse_transform(y_test) When I try to execute this code, anaconda gives the following error I metal_plugin/src/device/metal_device.cc:1154] Metal device set to: Apple M2 I metal_plugin/src/device/metal_device.cc:296] systemMemory: 16.00 GB I metal_plugin/src/device/metal_device.cc:313] maxCacheSize: 5.33 GB I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:306] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support. : I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:272] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: ) I can't find any solution, could you help me Thank you