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| import logging |
| import argparse |
| from typing import List, Optional |
| from simuleval.data.dataloader import DATALOADER_DICT, GenericDataloader |
| from simuleval.evaluator.scorers import get_scorer_class |
|
|
|
|
| def add_dataloader_args( |
| parser: argparse.ArgumentParser, cli_argument_list: Optional[List[str]] = None |
| ): |
| if cli_argument_list is None: |
| args, _ = parser.parse_known_args() |
| else: |
| args, _ = parser.parse_known_args(cli_argument_list) |
| dataloader_class = DATALOADER_DICT.get(args.dataloader) |
| if dataloader_class is None: |
| dataloader_class = GenericDataloader |
| dataloader_class.add_args(parser) |
|
|
|
|
| def add_evaluator_args(parser: argparse.ArgumentParser): |
| parser.add_argument( |
| "--quality-metrics", |
| nargs="+", |
| default=["BLEU"], |
| help="Quality metrics", |
| ) |
| parser.add_argument( |
| "--latency-metrics", |
| nargs="+", |
| default=["LAAL", "AL", "AP", "DAL", "ATD"], |
| help="Latency metrics", |
| ) |
| parser.add_argument( |
| "--continue-unfinished", |
| action="store_true", |
| default=False, |
| help="Continue the experiments in output dir.", |
| ) |
| parser.add_argument( |
| "--computation-aware", |
| action="store_true", |
| default=False, |
| help="Include computational latency.", |
| ) |
| parser.add_argument( |
| "--no-use-ref-len", |
| action="store_true", |
| default=False, |
| help="Include computational latency.", |
| ) |
| parser.add_argument( |
| "--eval-latency-unit", |
| type=str, |
| default="word", |
| choices=["word", "char"], |
| help="Basic unit used for latency calculation, choose from " |
| "words (detokenized) and characters.", |
| ) |
| parser.add_argument( |
| "--remote-address", |
| default="localhost", |
| help="Address to client backend", |
| ) |
| parser.add_argument( |
| "--remote-port", |
| default=12321, |
| help="Port to client backend", |
| ) |
| parser.add_argument( |
| "--no-progress-bar", |
| action="store_true", |
| default=False, |
| help="Do not use progress bar", |
| ) |
| parser.add_argument( |
| "--start-index", |
| type=int, |
| default=0, |
| help="Start index for evaluation.", |
| ) |
| parser.add_argument( |
| "--end-index", |
| type=int, |
| default=-1, |
| help="The last index for evaluation.", |
| ) |
| parser.add_argument("--output", type=str, default=None, help="Output directory") |
|
|
|
|
| def add_scorer_args( |
| parser: argparse.ArgumentParser, cli_argument_list: Optional[List[str]] = None |
| ): |
| if cli_argument_list is None: |
| args, _ = parser.parse_known_args() |
| else: |
| args, _ = parser.parse_known_args(cli_argument_list) |
|
|
| for metric in args.latency_metrics: |
| get_scorer_class("latency", metric).add_args(parser) |
|
|
| for metric in args.quality_metrics: |
| get_scorer_class("quality", metric).add_args(parser) |
|
|
|
|
| def general_parser(): |
| parser = argparse.ArgumentParser() |
| parser.add_argument( |
| "--remote-eval", |
| action="store_true", |
| help="Evaluate a standalone agent", |
| ) |
| parser.add_argument( |
| "--standalone", |
| action="store_true", |
| help="", |
| ) |
| parser.add_argument( |
| "--slurm", action="store_true", default=False, help="Use slurm." |
| ) |
| parser.add_argument("--agent", default=None, help="Agent file") |
| parser.add_argument( |
| "--agent-class", |
| default=None, |
| help="The full string of class of the agent.", |
| ) |
| parser.add_argument( |
| "--system-dir", |
| default=None, |
| help="Directory that contains everything to start the simultaneous system.", |
| ) |
| parser.add_argument( |
| "--system-config", |
| default="main.yaml", |
| help="Name of the config yaml of the system configs.", |
| ) |
| parser.add_argument("--dataloader", default=None, help="Dataloader to use") |
| parser.add_argument( |
| "--log-level", |
| type=str, |
| default="info", |
| choices=[x.lower() for x in logging._levelToName.values()], |
| help="Log level.", |
| ) |
| parser.add_argument( |
| "--score-only", |
| action="store_true", |
| default=False, |
| help="Only score the inference file.", |
| ) |
| parser.add_argument( |
| "--device", type=str, default="cpu", help="Device to run the model." |
| ) |
| return parser |
|
|
|
|
| def add_slurm_args(parser): |
| parser.add_argument( |
| "--slurm-partition", default="learnaccel,ust", help="Slurm partition." |
| ) |
| parser.add_argument("--slurm-job-name", default="simuleval", help="Slurm job name.") |
| parser.add_argument("--slurm-time", default="10:00:00", help="Slurm partition.") |
|
|