File size: 4,331 Bytes
b4e82af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | #!/usr/bin/env python3
"""Read LocateAnything records and image bytes with Megatron-Energon 7.4."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any, Mapping, Sequence
from megatron.energon import (
Cooker,
DefaultTaskEncoder,
FileStore,
Sample,
WorkerConfig,
basic_sample_keys,
cooker,
edataclass,
get_savable_loader,
get_train_dataset,
stateless,
)
@edataclass
class LocateAnythingSample(Sample):
"""One spatial annotation and its encoded image bytes."""
record: dict[str, Any]
image: bytes
def _record(sample: Mapping[str, Any]) -> dict[str, Any]:
payload = sample.get("json")
if isinstance(payload, Mapping):
record = dict(payload)
elif isinstance(payload, (bytes, bytearray, str)):
record = json.loads(payload)
else:
raise ValueError(
"Energon sample does not contain a mapping- or JSON-valued 'json' field"
)
if not isinstance(record, dict):
raise ValueError("LocateAnything record must be a JSON object")
if set(record) != {"_source", "image", "query", "task_type"}:
raise ValueError("LocateAnything record schema mismatch")
return record
@stateless
def cook_locate_anything(
sample: dict[str, Any], **aux: FileStore
) -> LocateAnythingSample:
record = _record(sample)
image = record["image"]
source = image["source"]
member_name = image["path"]
try:
store = aux[source]
except KeyError as error:
raise ValueError(f"annotation names unknown auxiliary source {source!r}") from error
encoded = store.get(member_name, sample)
return LocateAnythingSample(
**basic_sample_keys(sample),
record=record,
image=encoded,
)
class LocateAnythingTaskEncoder(
DefaultTaskEncoder[
LocateAnythingSample,
LocateAnythingSample,
LocateAnythingSample,
LocateAnythingSample,
]
):
"""Minimal encoder; subclass its packing methods for model token budgets."""
decoder = None
def __init__(self) -> None:
self.cookers = [Cooker(cook_locate_anything)]
super().__init__()
@stateless
def select_samples_to_pack(
self, samples: list[LocateAnythingSample]
) -> list[list[LocateAnythingSample]]:
return [[sample] for sample in samples]
@stateless
def pack_selected_samples(
self, samples: list[LocateAnythingSample]
) -> LocateAnythingSample:
if len(samples) != 1:
raise ValueError("the example encoder only supports singleton packs")
return samples[0]
def _parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"metadataset",
type=Path,
help="Root, dataset, or view-level metadataset.yaml.",
)
parser.add_argument("--samples", type=int, default=3)
parser.add_argument("--workers", type=int, default=0)
parser.add_argument("--rank", type=int, default=0)
parser.add_argument("--world-size", type=int, default=1)
return parser
def main(argv: Sequence[str] | None = None) -> int:
args = _parser().parse_args(argv)
worker_config = WorkerConfig(
rank=args.rank,
world_size=args.world_size,
num_workers=args.workers,
)
dataset = get_train_dataset(
args.metadataset,
split_part="train",
worker_config=worker_config,
batch_size=None,
max_samples_per_sequence=1,
shuffle_over_epochs_multiplier=1,
shuffle_buffer_size=None,
task_encoder=LocateAnythingTaskEncoder(),
repeat=False,
)
loader = get_savable_loader(dataset)
for index, sample in enumerate(loader):
print(
json.dumps(
{
"sample": index,
"sample_id": sample.record["_source"]["sample_id"],
"task_type": sample.record["task_type"],
"image_bytes": len(sample.image),
},
ensure_ascii=False,
sort_keys=True,
)
)
if index + 1 >= args.samples:
break
return 0
if __name__ == "__main__":
raise SystemExit(main())
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