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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/main/rh_primitives/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) | |