小编Dac*_*eng的帖子

我是机器学习新手。在尝试用TPU方法完成数字识别时，我遇到了以下问题。

resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='')
tf.config.experimental_connect_to_cluster(resolver)
tf.tpu.experimental.initialize_tpu_system(resolver)
strategy = tf.distribute.TPUStrategy(resolver)

with strategy.scope():
    Model = Sequential([

        InputLayer((28, 28, 1)),
        Dropout(0.1),
        Conv2D(128, 3, use_bias=False),
        LeakyReLU(0.05),
        BatchNormalization(),
        MaxPooling2D(2, 2),
        Conv2D(64, 3, use_bias=False),
        LeakyReLU(0.05),
        BatchNormalization(),
        MaxPooling2D(2, 2),
        Flatten(),
        Dense(128, use_bias=False),
        LeakyReLU(0.05),
        BatchNormalization(),
        Dense(10, activation='softmax')

    ])

with strategy.scope():
    Model.compile(optimizer='adam',
                  loss='categorical_crossentropy', metrics='accuracy') 

CancelledError: 4 root error(s) found.
  (0) Cancelled:  Operation was cancelled
     [[node IteratorGetNextAsOptional_1 (defined at <ipython-input-31-44edcf0f3ea7>:3) ]]
  (1) Cancelled:  Iterator was cancelled
     [[node IteratorGetNextAsOptional_6 (defined at <ipython-input-31-44edcf0f3ea7>:3) ]]
  (2) Cancelled:  Operation was cancelled
     [[node IteratorGetNextAsOptional_3 (defined …