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onnx-web/api/onnx_web/utils.py

205 lines
5.3 KiB
Python

import gc
import importlib
import json
import threading
from json import JSONDecodeError
from logging import getLogger
from os import environ, path
from platform import system
from typing import Any, Dict, List, Optional, Sequence, TypeVar, Union
import torch
from yaml import safe_load
from .params import DeviceParams, SizeChart
logger = getLogger(__name__)
SAFE_CHARS = "._-"
def base_join(base: str, tail: str) -> str:
tail_path = path.relpath(path.normpath(path.join("/", tail)), "/")
return path.join(base, tail_path)
def is_debug() -> bool:
return get_boolean(environ, "DEBUG", False)
def get_boolean(args: Any, key: str, default_value: bool) -> bool:
return args.get(key, str(default_value)).lower() in ("1", "t", "true", "y", "yes")
def get_and_clamp_float(
args: Any, key: str, default_value: float, max_value: float, min_value=0.0
) -> float:
return min(max(float(args.get(key, default_value)), min_value), max_value)
def get_and_clamp_int(
args: Any, key: str, default_value: int, max_value: int, min_value=1
) -> int:
return min(max(int(args.get(key, default_value)), min_value), max_value)
TElem = TypeVar("TElem")
def get_from_list(
args: Any, key: str, values: Sequence[TElem], default_value: Optional[TElem] = None
) -> Optional[TElem]:
selected = args.get(key, default_value)
if selected in values:
return selected
logger.warn("invalid selection %s, options: %s", selected, values)
if len(values) > 0:
return values[0]
return None
def get_from_map(
args: Any, key: str, values: Dict[str, TElem], default: TElem
) -> TElem:
selected = args.get(key, default)
if selected in values:
return values[selected]
else:
return values[default]
def get_not_empty(args: Any, key: str, default: TElem) -> TElem:
val = args.get(key, default)
if val is None or len(val) == 0:
val = default
return val
def get_size(val: Union[int, str, None]) -> Union[int, SizeChart]:
if val is None:
return SizeChart.auto
if type(val) is int:
return val
if type(val) is str:
for size in SizeChart:
if val == size.name:
return size
return int(val)
raise ValueError("invalid size")
def run_gc(devices: Optional[List[DeviceParams]] = None):
logger.debug(
"running garbage collection with %s active threads", threading.active_count()
)
gc.collect()
if torch.cuda.is_available() and devices is not None:
for device in [d for d in devices if d.device.startswith("cuda")]:
logger.debug("running Torch garbage collection for device: %s", device)
with torch.cuda.device(device.torch_str()):
torch.cuda.empty_cache()
torch.cuda.ipc_collect()
mem_free, mem_total = torch.cuda.mem_get_info()
mem_pct = (1 - (mem_free / mem_total)) * 100
logger.debug(
"CUDA VRAM usage: %s of %s (%.2f%%)",
(mem_total - mem_free),
mem_total,
mem_pct,
)
def sanitize_name(name):
return "".join(x for x in name if (x.isalnum() or x in SAFE_CHARS))
def merge(a, b, path=None):
"merges b into a"
if path is None:
path = []
for key in b:
if key in a:
if isinstance(a[key], dict) and isinstance(b[key], dict):
merge(a[key], b[key], path + [str(key)])
elif a[key] == b[key]:
pass # same leaf value
else:
raise ValueError("conflict at %s" % ".".join(path + [str(key)]))
else:
a[key] = b[key]
return a
toaster = None
def show_system_toast(msg: str) -> None:
global toaster
sys_name = system()
if sys_name == "Linux":
if (
importlib.util.find_spec("gi") is not None
and importlib.util.find_spec("gi.repository") is not None
):
from gi.repository import Notify
if toaster is None:
Notify.init("onnx-web")
Notify.Notification.new(msg).show()
else:
logger.info(
"please install the PyGObject module to enable toast notifications on Linux"
)
elif sys_name == "Windows":
if importlib.util.find_spec("win10toast") is not None:
from win10toast import ToastNotifier
if toaster is None:
toaster = ToastNotifier()
toaster.show_toast(msg, duration=15)
else:
logger.info(
"please install the win10toast module to enable toast notifications on Windows"
)
else:
logger.info("system notifications not yet available for %s", sys_name)
def load_json(file: str) -> Dict:
with open(file, "r") as f:
data = json.loads(f.read())
return data
def load_yaml(file: str) -> Dict:
with open(file, "r") as f:
data = safe_load(f.read())
return data
def load_config(file: str) -> Dict:
name, ext = path.splitext(file)
if ext in [".yml", ".yaml"]:
return load_yaml(file)
elif ext in [".json"]:
return load_json(file)
def load_config_str(raw: str) -> Dict:
try:
return json.loads(raw)
except JSONDecodeError:
return safe_load(raw)