# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # DEALINGS IN THE SOFTWARE. # # SPDX-FileCopyrightText: Copyright (c) 2021 NVIDIA CORPORATION & AFFILIATES # SPDX-License-Identifier: MIT import argparse import pathlib from se3_transformer.data_loading import QM9DataModule from se3_transformer.model import SE3TransformerPooled from se3_transformer.runtime.utils import str2bool PARSER = argparse.ArgumentParser(description='SE(3)-Transformer') paths = PARSER.add_argument_group('Paths') paths.add_argument('--data_dir', type=pathlib.Path, default=pathlib.Path('./data'), help='Directory where the data is located or should be downloaded') paths.add_argument('--log_dir', type=pathlib.Path, default=pathlib.Path('/results'), help='Directory where the results logs should be saved') paths.add_argument('--dllogger_name', type=str, default='dllogger_results.json', help='Name for the resulting DLLogger JSON file') paths.add_argument('--save_ckpt_path', type=pathlib.Path, default=None, help='File where the checkpoint should be saved') paths.add_argument('--load_ckpt_path', type=pathlib.Path, default=None, help='File of the checkpoint to be loaded') optimizer = PARSER.add_argument_group('Optimizer') optimizer.add_argument('--optimizer', choices=['adam', 'sgd', 'lamb'], default='adam') optimizer.add_argument('--learning_rate', '--lr', dest='learning_rate', type=float, default=0.002) optimizer.add_argument('--min_learning_rate', '--min_lr', dest='min_learning_rate', type=float, default=None) optimizer.add_argument('--momentum', type=float, default=0.9) optimizer.add_argument('--weight_decay', type=float, default=0.1) PARSER.add_argument('--epochs', type=int, default=100, help='Number of training epochs') PARSER.add_argument('--batch_size', type=int, default=240, help='Batch size') PARSER.add_argument('--seed', type=int, default=None, help='Set a seed globally') PARSER.add_argument('--num_workers', type=int, default=8, help='Number of dataloading workers') PARSER.add_argument('--amp', type=str2bool, nargs='?', const=True, default=False, help='Use Automatic Mixed Precision') PARSER.add_argument('--gradient_clip', type=float, default=None, help='Clipping of the gradient norms') PARSER.add_argument('--accumulate_grad_batches', type=int, default=1, help='Gradient accumulation') PARSER.add_argument('--ckpt_interval', type=int, default=-1, help='Save a checkpoint every N epochs') PARSER.add_argument('--eval_interval', dest='eval_interval', type=int, default=20, help='Do an evaluation round every N epochs') PARSER.add_argument('--silent', type=str2bool, nargs='?', const=True, default=False, help='Minimize stdout output') PARSER.add_argument('--wandb', type=str2bool, nargs='?', const=True, default=False, help='Enable W&B logging') PARSER.add_argument('--benchmark', type=str2bool, nargs='?', const=True, default=False, help='Benchmark mode') QM9DataModule.add_argparse_args(PARSER) SE3TransformerPooled.add_argparse_args(PARSER)