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')
bruce__lee
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