File size: 8,239 Bytes
3ec79eb | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 | import argparse
import ctypes
import json
import os
from pathlib import Path
from typing import Dict, Tuple
import numpy as np
import onnxruntime as ort
def find_dll(path_arg: str | None) -> Path:
if path_arg:
return Path(path_arg)
env = os.environ.get("ALLINONE_DLL")
if env:
return Path(env)
candidates = [
Path("target") / "release" / "allinone_onnx_ffi.dll",
Path("target") / "debug" / "allinone_onnx_ffi.dll",
]
for cand in candidates:
if cand.is_file():
return cand
return candidates[-1]
def load_cfg(path: Path) -> Dict[str, object]:
return json.loads(path.read_text(encoding="utf-8"))
def load_dll(path: Path) -> ctypes.CDLL:
if not path.is_file():
raise SystemExit(f"DLL not found: {path}")
return ctypes.CDLL(str(path))
def last_error(dll: ctypes.CDLL) -> str:
dll.allinone_last_error.restype = ctypes.c_void_p
ptr = dll.allinone_last_error()
if not ptr:
return "unknown error"
msg = ctypes.string_at(ptr).decode("utf-8", errors="replace")
dll.allinone_free_string(ctypes.c_void_p(ptr))
return msg
def setup_ffi(dll: ctypes.CDLL) -> None:
dll.allinone_free_string.argtypes = [ctypes.c_void_p]
dll.allinone_free_f32.argtypes = [ctypes.POINTER(ctypes.c_float), ctypes.c_size_t]
dll.allinone_free_config.argtypes = [ctypes.c_void_p]
dll.allinone_load_config_json.argtypes = [ctypes.c_char_p]
dll.allinone_load_config_json.restype = ctypes.c_void_p
dll.allinone_read_wav_mono.argtypes = [
ctypes.c_char_p,
ctypes.POINTER(ctypes.POINTER(ctypes.c_float)),
ctypes.POINTER(ctypes.c_size_t),
ctypes.POINTER(ctypes.c_uint32),
]
dll.allinone_read_wav_mono.restype = ctypes.c_int
dll.allinone_extract_spectrogram_from_stems.argtypes = [
ctypes.c_char_p,
ctypes.c_void_p,
ctypes.POINTER(ctypes.POINTER(ctypes.c_float)),
ctypes.POINTER(ctypes.c_size_t),
ctypes.POINTER(ctypes.c_size_t),
ctypes.POINTER(ctypes.c_size_t),
]
dll.allinone_extract_spectrogram_from_stems.restype = ctypes.c_int
dll.allinone_postprocess_logits.argtypes = [
ctypes.c_void_p,
ctypes.POINTER(ctypes.c_float),
ctypes.POINTER(ctypes.c_float),
ctypes.POINTER(ctypes.c_float),
ctypes.POINTER(ctypes.c_float),
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.POINTER(ctypes.c_void_p),
ctypes.POINTER(ctypes.c_size_t),
]
dll.allinone_postprocess_logits.restype = ctypes.c_int
def extract_spec(
dll: ctypes.CDLL,
stems_dir: Path,
cfg_handle: ctypes.c_void_p,
) -> Tuple[np.ndarray, Tuple[int, int, int]]:
out_ptr = ctypes.POINTER(ctypes.c_float)()
out_channels = ctypes.c_size_t()
out_frames = ctypes.c_size_t()
out_bins = ctypes.c_size_t()
rc = dll.allinone_extract_spectrogram_from_stems(
str(stems_dir).encode("utf-8"),
cfg_handle,
ctypes.byref(out_ptr),
ctypes.byref(out_channels),
ctypes.byref(out_frames),
ctypes.byref(out_bins),
)
if rc != 0:
raise SystemExit(last_error(dll))
channels = int(out_channels.value)
frames = int(out_frames.value)
bins = int(out_bins.value)
length = channels * frames * bins
buf = np.ctypeslib.as_array(out_ptr, shape=(length,))
spec = buf.copy().reshape(channels, frames, bins)
dll.allinone_free_f32(out_ptr, length)
return spec, (channels, frames, bins)
def run_onnx(model_path: Path, spec: np.ndarray, provider: str) -> Dict[str, np.ndarray]:
providers = []
if provider == "cpu":
providers = ["CPUExecutionProvider"]
elif provider == "cuda":
providers = ["CUDAExecutionProvider", "CPUExecutionProvider"]
else:
providers = ["CPUExecutionProvider"]
session = ort.InferenceSession(model_path.as_posix(), providers=providers)
input_name = session.get_inputs()[0].name
outputs = session.run(None, {input_name: spec})
return {o.name: v for o, v in zip(session.get_outputs(), outputs)}
def squeeze_to_1d(arr: np.ndarray) -> np.ndarray:
if arr.ndim == 2 and arr.shape[0] == 1:
return arr[0]
if arr.ndim == 1:
return arr
if arr.ndim == 2 and arr.shape[1] == 1:
return arr[:, 0]
raise SystemExit(f"Unexpected shape for 1D logits: {arr.shape}")
def normalize_function_logits(arr: np.ndarray, frames: int, num_labels: int) -> np.ndarray:
if arr.ndim == 3 and arr.shape[0] == 1:
arr = arr[0]
if arr.ndim != 2:
raise SystemExit(f"Unexpected shape for function logits: {arr.shape}")
if arr.shape == (num_labels, frames):
return arr
if arr.shape == (frames, num_labels):
return arr.T
raise SystemExit(f"Unexpected function logits shape: {arr.shape}")
def postprocess(
dll: ctypes.CDLL,
cfg_handle: ctypes.c_void_p,
logits: Dict[str, np.ndarray],
frames: int,
num_labels: int,
) -> dict:
beat = squeeze_to_1d(logits["logits_beat"]).astype(np.float32, copy=False)
downbeat = squeeze_to_1d(logits["logits_downbeat"]).astype(np.float32, copy=False)
section = squeeze_to_1d(logits["logits_section"]).astype(np.float32, copy=False)
function = normalize_function_logits(
logits["logits_function"], frames, num_labels
).astype(np.float32, copy=False)
out_json_ptr = ctypes.c_void_p()
out_json_len = ctypes.c_size_t()
rc = dll.allinone_postprocess_logits(
cfg_handle,
beat.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
downbeat.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
section.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
function.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
frames,
num_labels,
ctypes.byref(out_json_ptr),
ctypes.byref(out_json_len),
)
if rc != 0:
raise SystemExit(last_error(dll))
raw = ctypes.string_at(out_json_ptr, out_json_len.value)
dll.allinone_free_string(out_json_ptr)
return json.loads(raw.decode("utf-8"))
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Run allinone pipeline via Rust DLL + ONNXRuntime (Python)."
)
parser.add_argument("--dll", type=str, default=None, help="Path to allinone_onnx_ffi.dll")
parser.add_argument("--stems-dir", type=Path, required=True, help="Stems directory")
parser.add_argument("--onnx-model", type=Path, required=True, help="ONNX model path")
parser.add_argument("--config-json", type=Path, required=True, help="Config JSON path")
parser.add_argument(
"--output-dir",
"-output-dir",
dest="output_dir",
type=Path,
default=Path("output_dll"),
)
parser.add_argument("--analysis-json", type=Path, default=None)
parser.add_argument("--provider", choices=["cpu", "cuda"], default="cpu")
parser.add_argument("--save-spec", action="store_true", help="Save extracted spec as .npy")
return parser.parse_args()
def main() -> None:
args = parse_args()
dll_path = find_dll(args.dll)
dll = load_dll(dll_path)
setup_ffi(dll)
cfg_data = load_cfg(args.config_json)
num_labels = int(cfg_data["data"]["num_labels"])
cfg_handle = dll.allinone_load_config_json(str(args.config_json).encode("utf-8"))
if not cfg_handle:
raise SystemExit(last_error(dll))
spec, shape = extract_spec(dll, args.stems_dir, cfg_handle)
if args.save_spec:
args.output_dir.mkdir(parents=True, exist_ok=True)
np.save(args.output_dir / "spec.npy", spec)
spec = np.expand_dims(spec, axis=0).astype(np.float32, copy=False)
logits = run_onnx(args.onnx_model, spec, args.provider)
frames = shape[1]
analysis = postprocess(dll, cfg_handle, logits, frames, num_labels)
dll.allinone_free_config(cfg_handle)
args.output_dir.mkdir(parents=True, exist_ok=True)
analysis_path = args.analysis_json or (args.output_dir / "analysis.json")
analysis_path.write_text(json.dumps(analysis, indent=2), encoding="utf-8")
print(f"Wrote analysis: {analysis_path}")
if __name__ == "__main__":
main()
|