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f66643d | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 | """Hardware-awaresettings configuration."""
from __future__ import annotations
import argparse
import json
import logging
import os
from dataclasses import asdict, dataclass
from typing import Literal
logger = logging.getLogger(__name__)
DeviceType = Literal["cuda", "mps", "cpu", "auto"]
_DEFAULT_BATCHES = {
"cuda": {
"layout": 32,
"detection": 32,
"recognition": 128,
"table": 256,
},
"mps": {
"layout": 4,
"detection": 8,
"recognition": 64,
"table": 64,
},
"cpu": {
"layout": 4,
"detection": 8,
"recognition": 32,
"table": 32,
},
}
@dataclass(slots=True)
class HardwareConfig:
"""Resolved hardware configuration used to drive Surya settings."""
device: str
page_batch_size: int
layout_batch_size: int
detection_batch_size: int
ocr_batch_size: int
table_batch_size: int
# Backward-compatible alias for older imports.
HardwareProfile = HardwareConfig
def _detect_device() -> str:
"""Detect the best torch device available for Surya."""
try:
import torch
if torch.cuda.is_available():
logger.info("CUDA device detected")
return "cuda"
if torch.backends.mps.is_available():
logger.info("MPS device detected")
return "mps"
except ImportError:
logger.warning("PyTorch is unavailable, falling back to CPU")
logger.info("Using CPU device")
return "cpu"
def set_torch_device_env(device: str) -> None:
"""Set the torch device for downstream Surya imports."""
os.environ["TORCH_DEVICE"] = device
def configure_settings(
device: DeviceType = "auto",
page_batch_size: int | None = None,
layout_batch_size: int | None = None,
detection_batch_size: int | None = None,
ocr_batch_size: int | None = None,
table_batch_size: int | None = None,
) -> HardwareConfig:
"""Resolve and apply settings using local hardware heuristics."""
resolved_device = _detect_device() if device == "auto" else device
resolved_layout_batch = (
layout_batch_size
if layout_batch_size
else _DEFAULT_BATCHES[resolved_device]["layout"]
)
resolved_detection_batch = (
detection_batch_size
if detection_batch_size
else _DEFAULT_BATCHES[resolved_device]["detection"]
)
resolved_table_batch = (
table_batch_size
if table_batch_size
else _DEFAULT_BATCHES[resolved_device]["table"]
)
resolved_ocr_batch = (
ocr_batch_size
if ocr_batch_size
else _DEFAULT_BATCHES[resolved_device]["recognition"]
)
resolved_page_batch = (
page_batch_size
if page_batch_size
else min(resolved_layout_batch, resolved_detection_batch)
)
config = HardwareConfig(
device=resolved_device,
page_batch_size=resolved_page_batch,
layout_batch_size=resolved_layout_batch,
detection_batch_size=resolved_detection_batch,
ocr_batch_size=resolved_ocr_batch,
table_batch_size=resolved_table_batch,
)
logger.info(
"Configured settings: device=%s page=%s layout=%s detection=%s "
"ocr=%s table=%s",
config.device,
config.page_batch_size,
config.layout_batch_size,
config.detection_batch_size,
config.ocr_batch_size,
config.table_batch_size,
)
return config
def resolve_hardware(
device: DeviceType = "auto",
ocr_batch_size: int | None = None,
**kwargs,
) -> HardwareConfig:
"""Backward-compatible wrapper around ``configure_settings``."""
return configure_settings(
device=device,
ocr_batch_size=ocr_batch_size,
**kwargs,
)
def main() -> None:
"""Print a resolved Surya hardware config for local tuning."""
parser = argparse.ArgumentParser(description="Inspect resolved settings")
parser.add_argument(
"--device", default="auto", choices=["auto", "cuda", "mps", "cpu"]
)
parser.add_argument("--page-batch-size", type=int, default=None)
parser.add_argument("--layout-batch-size", type=int, default=None)
parser.add_argument("--detection-batch-size", type=int, default=None)
parser.add_argument("--ocr-batch-size", type=int, default=None)
parser.add_argument("--table-batch-size", type=int, default=None)
args = parser.parse_args()
config = configure_settings(
device=args.device,
page_batch_size=args.page_batch_size,
layout_batch_size=args.layout_batch_size,
detection_batch_size=args.detection_batch_size,
ocr_batch_size=args.ocr_batch_size,
table_batch_size=args.table_batch_size,
)
print(json.dumps(asdict(config), indent=2))
if __name__ == "__main__":
main()
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