72 lines
3.6 KiB
Python
72 lines
3.6 KiB
Python
#!/usr/bin/env python
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# coding=utf-8
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# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import shlex
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import runhouse as rh
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if __name__ == "__main__":
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# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
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# setup instructions, if using on-demand hardware
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# If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
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# If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
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# Throw an error if user passes both BYO and on-demand cluster args
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# Otherwise, use default values
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parser = argparse.ArgumentParser()
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parser.add_argument("--user", type=str, default="ubuntu")
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parser.add_argument("--host", type=str, default="localhost")
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parser.add_argument("--key_path", type=str, default=None)
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parser.add_argument("--instance", type=str, default="V100:1")
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parser.add_argument("--provider", type=str, default="cheapest")
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parser.add_argument("--use_spot", type=bool, default=False)
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parser.add_argument("--example", type=str, default="pytorch/text-generation/run_generation.py")
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args, unknown = parser.parse_known_args()
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if args.host != "localhost":
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if args.instance != "V100:1" or args.provider != "cheapest":
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raise ValueError("Cannot specify both BYO and on-demand cluster args")
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cluster = rh.cluster(
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name="rh-cluster", ips=[args.host], ssh_creds={"ssh_user": args.user, "ssh_private_key": args.key_path}
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)
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else:
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cluster = rh.cluster(
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name="rh-cluster", instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
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)
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example_dir = args.example.rsplit("/", 1)[0]
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# Set up remote environment
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cluster.install_packages(["pip:./"]) # Installs transformers from local source
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# Note transformers is copied into the home directory on the remote machine, so we can install from there
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cluster.run([f"pip install -r transformers/examples/{example_dir}/requirements.txt"])
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cluster.run(["pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117"])
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# Run example. You can bypass the CLI wrapper and paste your own code here.
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cluster.run([f'python transformers/examples/{args.example} {" ".join(shlex.quote(arg) for arg in unknown)}'])
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# Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
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# from my_script... import train
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# reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
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# launch_train_gpu = rh.function(fn=train,
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# system=gpu,
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# reqs=reqs,
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# name='train_bert_glue')
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#
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# We can pass in arguments just like we would to a function:
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# launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
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# stream_logs=True)
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