ai-ml/gke-a100-jax/train.py (43 lines of code) (raw):

# Copyright 2023 Google LLC # # 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. # import jax import os import socket import time from absl import flags from absl import app from absl import logging flags.DEFINE_integer('num_processes', 1, 'Number of processes') flags.DEFINE_string('job_name', None, 'Job name') flags.DEFINE_string('sub_domain', None, 'Service sub domain') flags.DEFINE_string('coordinator_port', None, 'Port the coordinator listens on') flags.mark_flag_as_required('job_name') flags.mark_flag_as_required('sub_domain') flags.mark_flag_as_required('coordinator_port') FLAGS = flags.FLAGS def _get_coordinator_ip_address(job_name, sub_domain): coordinator_fqdn = f'{FLAGS.job_name}-0.{FLAGS.sub_domain}' print(f'Coordinator host name: {coordinator_fqdn}') for retry_attempt in range(120): try: time.sleep(1) coordinator_ipaddress = socket.gethostbyname(coordinator_fqdn) except socket.gaierror: print(f'Failed to resolve: {coordinator_fqdn}. Trying again in a second ...') else: break print(f'Coordinator IP address: {coordinator_ipaddress}') return coordinator_ipaddress def _main(argv): process_id = int(os.getenv("JOB_COMPLETION_INDEX")) num_processes = FLAGS.num_processes coordinator_address = _get_coordinator_ip_address(FLAGS.job_name, FLAGS.sub_domain) coordinator_address = f'{coordinator_address}:{FLAGS.coordinator_port}' jax.distributed.initialize(coordinator_address=coordinator_address, num_processes=num_processes, process_id=process_id) print(f'JAX process {jax.process_index()}/{jax.process_count()} initialized on {socket.gethostname()}') print(f'JAX global devices:{jax.devices()}') print(f'JAX local devices:{jax.local_devices()}') xs = jax.numpy.ones(jax.local_device_count()) print(jax.pmap(lambda x: jax.lax.psum(x, 'i'), axis_name='i')(xs)) if __name__ == "__main__": app.run(_main)