54 lines
2.7 KiB
Python
54 lines
2.7 KiB
Python
# Copyright (c) 2021, NVIDIA CORPORATION. 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 os
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from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser
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from os.path import dirname
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from subprocess import call
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parser = ArgumentParser(ArgumentDefaultsHelpFormatter)
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parser.add_argument("--mode", type=str, required=True, choices=["train", "predict"], help="Benchmarking mode")
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parser.add_argument("--task", type=str, default="01", help="Task code")
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parser.add_argument("--gpus", type=int, default=1, help="Number of GPUs to use")
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parser.add_argument("--dim", type=int, required=True, help="Dimension of UNet")
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parser.add_argument("--batch_size", type=int, default=2, help="Batch size")
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parser.add_argument("--amp", action="store_true", help="Enable automatic mixed precision")
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parser.add_argument("--train_batches", type=int, default=150, help="Number of batches for training")
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parser.add_argument("--test_batches", type=int, default=150, help="Number of batches for inference")
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parser.add_argument("--warmup", type=int, default=50, help="Warmup iterations before collecting statistics")
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parser.add_argument("--results", type=str, default="/results", help="Path to results directory")
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parser.add_argument("--logname", type=str, default="perf.json", help="Name of dlloger output")
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parser.add_argument("--profile", action="store_true", help="Enable dlprof profiling")
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if __name__ == "__main__":
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args = parser.parse_args()
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path_to_main = os.path.join(dirname(dirname(os.path.realpath(__file__))), "main.py")
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cmd = ""
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cmd += f"python main.py --task {args.task} --benchmark --epochs 2 "
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cmd += f"--results {args.results} "
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cmd += f"--logname {args.logname} "
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cmd += f"--exec_mode {args.mode} "
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cmd += f"--dim {args.dim} "
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cmd += f"--gpus {args.gpus} "
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cmd += f"--train_batches {args.train_batches} "
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cmd += f"--test_batches {args.test_batches} "
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cmd += f"--warmup {args.warmup} "
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cmd += "--amp " if args.amp else ""
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cmd += "--profile " if args.profile else ""
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if args.mode == "train":
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cmd += f"--batch_size {args.batch_size} "
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else:
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cmd += f"--val_batch_size {args.batch_size} "
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call(cmd, shell=True)
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