tf.distribute.experimental.TPUStrategy provides the associated tf.distribute.cluster_resolver.ClusterResolver. If the user provides one in __init__, that instance is returned if the user does not, a default tf.distribute.cluster_resolver.TPUClusterResolver is provided. extended.
What does ‘with strategy .scope():’ or ‘with tf.distribute.experimental.TPUStrategy (tpu).scope():’ do to the creation of a NN? Ask Question Asked 2 months ago, To construct a TPUStrategy object, you need to run the initialization code as below: resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu=”) tf.config.experimental_connect_to_cluster(resolver) tf.tpu.experimental.initialize_tpu_system(resolver) strategy = tf.distribute.experimental …
Synchronous training on TPUs and TPU Pods.
