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| #!/usr/bin/env python | |
| # coding=utf-8 | |
| # Copyright 2021 The HuggingFace Inc. team. 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. | |
| import argparse | |
| import shlex | |
| import runhouse as rh | |
| if __name__ == "__main__": | |
| # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access | |
| # setup instructions, if using on-demand hardware | |
| # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster | |
| # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster | |
| # Throw an error if user passes both BYO and on-demand cluster args | |
| # Otherwise, use default values | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--user", type=str, default="ubuntu") | |
| parser.add_argument("--host", type=str, default="localhost") | |
| parser.add_argument("--key_path", type=str, default=None) | |
| parser.add_argument("--instance", type=str, default="V100:1") | |
| parser.add_argument("--provider", type=str, default="cheapest") | |
| parser.add_argument("--use_spot", type=bool, default=False) | |
| parser.add_argument("--example", type=str, default="pytorch/text-generation/run_generation.py") | |
| args, unknown = parser.parse_known_args() | |
| if args.host != "localhost": | |
| if args.instance != "V100:1" or args.provider != "cheapest": | |
| raise ValueError("Cannot specify both BYO and on-demand cluster args") | |
| cluster = rh.cluster( | |
| name="rh-cluster", ips=[args.host], ssh_creds={"ssh_user": args.user, "ssh_private_key": args.key_path} | |
| ) | |
| else: | |
| cluster = rh.cluster( | |
| name="rh-cluster", instance_type=args.instance, provider=args.provider, use_spot=args.use_spot | |
| ) | |
| example_dir = args.example.rsplit("/", 1)[0] | |
| # Set up remote environment | |
| cluster.install_packages(["pip:./"]) # Installs transformers from local source | |
| # Note transformers is copied into the home directory on the remote machine, so we can install from there | |
| cluster.run([f"pip install -r transformers/examples/{example_dir}/requirements.txt"]) | |
| cluster.run(["pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117"]) | |
| # Run example. You can bypass the CLI wrapper and paste your own code here. | |
| cluster.run([f'python transformers/examples/{args.example} {" ".join(shlex.quote(arg) for arg in unknown)}']) | |
| # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI): | |
| # from my_script... import train | |
| # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard'] | |
| # launch_train_gpu = rh.function(fn=train, | |
| # system=gpu, | |
| # reqs=reqs, | |
| # name='train_bert_glue') | |
| # | |
| # We can pass in arguments just like we would to a function: | |
| # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16 | |
| # stream_logs=True) | |