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macbook pro m2 max/ 64G / macos:13.2.1 (22D68) import tensorflow as tf def runMnist(device = '/device:CPU:0'): with tf.device(device): #tf.config.set_default_device(device) mnist = tf.keras.datasets.mnist (x_train, y_train), (x_test, y_test) = mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 model = tf.keras.models.Sequential([ tf.keras.layers.Flatten(input_shape=(28, 28)), tf.keras.layers.Dense(128, activation='relu'), tf.keras.layers.Dropout(0.2), tf.keras.layers.Dense(10) ]) loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy']) model.fit(x_train, y_train, epochs=10) runMnist(device = '/device:CPU:0') runMnist(device = '/device:GPU:0')