Spaces:
Sleeping
Sleeping
# Copyright 2019 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# ============================================================================== | |
"""Initializes TPU system for TF 2.0.""" | |
import tensorflow as tf | |
def tpu_initialize(tpu_address): | |
"""Initializes TPU for TF 2.0 training. | |
Args: | |
tpu_address: string, bns address of master TPU worker. | |
Returns: | |
A TPUClusterResolver. | |
""" | |
cluster_resolver = tf.distribute.cluster_resolver.TPUClusterResolver( | |
tpu=tpu_address) | |
if tpu_address not in ('', 'local'): | |
tf.config.experimental_connect_to_cluster(cluster_resolver) | |
tf.tpu.experimental.initialize_tpu_system(cluster_resolver) | |
return cluster_resolver | |