File size: 12,041 Bytes
b7fc81a | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 | """Opt-in Unified133 v2 adapter around the unchanged, hash-pinned v1 codec.
Direction reuses slot 6 (first desktop keys slot). Missing Android duration is
represented by five PAD labels, not a numeric demonstration. Original coordinate
targets, text limits, desktop behavior and input slot positions are reused.
"""
import hashlib
import importlib
import sys
from dataclasses import replace
from pathlib import Path
from trace2task.mobile133_protocol import DIRECTIONS, PROTOCOL, SCHEMA, direction_scroll_argv
BUNDLE = Path("runtime-bundle")
PINNED_SOURCES = {
"gui_owl_unified133": (
"source/gui_owl_unified133.py",
"c71d188ad8dbb9ce6c2a44dbf71efa081e1081a943dbc1dc15ea77ee5a4a191f",
),
"gui_owl_native134": (
"source/gui_owl_native134.py",
"6b62d644d0f4e1b7332a282e921f374083fe3e0a954c45e390d1573051b64643",
),
"native134_executor": (
"source/native134_executor.py",
"df542f0cd364f6aa35348dc354c826cc7e68ecc47ffb6557eb0049b8ccfb52b4",
),
"trace2task.gui_owl_parallel137_codec": (
"native/src/trace2task/gui_owl_parallel137_codec.py",
"0c304c73489c48c190f3c2e579f9e6ac069864cd49048c06d9f5c83a870f9c00",
),
"trace2task.gui_owl_short_parallel_input": (
"native/src/trace2task/gui_owl_short_parallel_input.py",
"bac595f2b6bafc0e6d235672cf2254561d11e432090b22114a0aa27aa6c102b0",
),
"slotread.numbers": (
"upstream/slotread/numbers.py",
"0c51fa60b85558987bd4134214c23aaa55116a00e68d3a77e9a1b14cd7afbc6c",
),
"slotread.labels": (
"upstream/slotread/labels.py",
"e38a8125b7200e841b8224d89b1978d9aa4ac5505727c66878d04fc6238691a5",
),
}
def load_legacy(bundle=BUNDLE):
import trace2task
bundle = Path(bundle).resolve(strict=True)
for module, (relative, expected) in PINNED_SOURCES.items():
path = bundle / relative
if hashlib.sha256(path.read_bytes()).hexdigest() != expected:
raise ValueError("frozen_codec_source_changed:" + relative)
loaded = sys.modules.get(module)
if loaded and Path(loaded.__file__).resolve() != path:
raise ValueError("different_codec_already_loaded:" + module)
for path in (bundle / "source", bundle / "upstream"):
if str(path) not in sys.path:
sys.path.insert(0, str(path))
native = str(bundle / "native/src/trace2task")
if native not in trace2task.__path__:
trace2task.__path__.append(native)
legacy = importlib.import_module("gui_owl_unified133")
for module, (relative, _) in PINNED_SOURCES.items():
if Path(importlib.import_module(module).__file__).resolve() != bundle / relative:
raise ValueError("unexpected_codec_import:" + module)
return legacy
class Mobile133Codec:
variant = PROTOCOL
output_slots = 133
def __init__(self, tokenizer, *, bundle=BUNDLE):
self.upstream = load_legacy(bundle)
self.legacy = self.upstream.Unified133Codec(tokenizer)
self.field_slices = dict(self.legacy.field_slices)
self.field_slices["direction"] = slice(6, 7)
self.direction_ids = {d: self.base_codec._single(d) for d in DIRECTIONS}
def __getattr__(self, name):
return getattr(self.legacy, name)
def contract(self):
return {
"protocol": PROTOCOL,
"output_slots": 133,
"coordinate_codebook_sha256": self.codebook_sha256,
"direction_slot": 6,
"direction_token_ids": self.direction_ids,
"missing_android_time": "five_supervised_PADs_not_numeric_duration",
"input_scaffold": "unchanged_v1_keys_slot_0_is_android_direction",
}
def validate_contract(self, contract):
if contract != self.contract():
raise ValueError("mobile133_protocol_contract_mismatch")
def adapt_target(self, action, platform="desktop", *, coordinate_supervision=None):
if platform != "android":
return self.legacy.adapt_target(
action, platform, coordinate_supervision=coordinate_supervision
)
name = action.get("action")
scroll = name == "scroll"
absent_time = name in ("wait", "long_press") and "time" not in action
if scroll:
if set(action) != {"action", "direction"} or action["direction"] not in DIRECTIONS:
raise ValueError("android_scroll_requires_direction_only")
surrogate = {"action": "wait", "time": 0}
elif absent_time:
surrogate = dict(action, time=0)
else:
return self.legacy.adapt_target(
action, platform, coordinate_supervision=coordinate_supervision
)
target = self.legacy.adapt_target(
surrogate, platform, coordinate_supervision=coordinate_supervision
)
ids, labels = list(target.target_ids), list(target.hard_labels)
fields = [f for f in target.fields if f[0] != "time"]
span = self.field_slices["time"]
ids[span] = [self.pad_id] * 5
labels[span] = [-100 if scroll else self.pad_id] * 5
if scroll:
ids[:2] = labels[:2] = self.action_encodings["scroll"]
ids[6] = labels[6] = self.direction_ids[action["direction"]]
fields.append(("direction", 6, 7))
canonical = dict(action)
else:
fields.append(("time", span.start, span.stop))
canonical = dict(target.canonical_action)
del canonical["time"]
return replace(
target,
canonical_action=canonical,
target_ids=tuple(ids),
hard_labels=tuple(labels),
fields=tuple(fields),
)
def check_row(self, row):
if row.get("action_protocol") != PROTOCOL or row.get("schema") != SCHEMA:
raise ValueError("mobile133_row_protocol_mismatch")
def adapt_training_target(self, row):
self.check_row(row)
return self.adapt_target(
row["target"],
row["platform"],
coordinate_supervision=self.upstream.coordinate_metadata_from_row(row),
)
def decode(self, logits, *, platform="desktop", key_sequences=()):
import torch
if platform != "android":
return self.legacy.decode(logits, platform=platform, key_sequences=key_sequences)
if logits.ndim != 2 or logits.shape[0] != 133 or logits.shape[1] < self.vocab_size:
raise ValueError("expected_133_by_vocab_logits")
if not torch.isfinite(logits).all():
raise ValueError("nonfinite_logits")
allowed = self.upstream.allowed_actions("android") + ("scroll",)
scores = torch.stack(
[
sum(logits[p, t].float() for p, t in enumerate(self.action_encodings[a]))
for a in allowed
]
)
name = allowed[int(scores.argmax())]
if name == "scroll":
direction = DIRECTIONS[int(logits[6, list(self.direction_ids.values())].argmax())]
return {"action": "scroll", "direction": direction}
absent = False
if name in ("wait", "long_press"):
span = self.field_slices["time"]
v = logits[span].float()
absent = bool(
v[:, self.pad_id].sum() > v[:, list(self.base_codec.digit_ids)].max(-1).values.sum()
)
if absent:
logits = logits.clone()
logits[span] = -60
logits[span, self.base_codec.digit_ids[0]] = 60
action = self.legacy.decode(logits, platform=platform, key_sequences=key_sequences)
if absent:
del action["time"]
return self.adapt_target(action, platform).canonical_action
def _coordinate_view(self, row):
# Only the coordinate binder sees this projection. The actual prompt
# retains EVERY action, including direction-only scrolls and default waits.
self.check_row(row)
history = []
for step in row["history"]:
actions = []
for action in step["actions"]:
if row["platform"] == "android" and action.get("action") == "scroll":
self.adapt_target(action, "android")
else:
actions.append(action)
history.append(dict(step, actions=actions))
return dict(row, history=history)
def messages(self, row, *, bound=False):
projection = self._coordinate_view(row)
labels = self.upstream.history_coordinate_tokens(projection, self.legacy)
result = self.upstream.messages(row)
result[0]["content"] = (
result[0]["content"]
.replace("long_press(coordinate,time)", "long_press(coordinate,optional time)")
.replace("Android actions: key(text)", "Android actions: scroll(direction), key(text)")
)
result[0]["content"] += (
" Android wait may omit time. Omitted Android wait/long_press time means executor default; "
"predict PAD in all five time slots. Explicit time uses the original five digits. "
"Android scroll uses direction up/down/left/right (content movement), not swipe endpoints. "
"Its direction token occupies the first keys slot; other keys and pixels slots are inactive. "
"Desktop actions retain their original meanings. Protocol: " + PROTOCOL + "."
)
if bound:
values = iter(labels)
for item in result[1]["content"]:
if item["type"] == "text":
parts = item["text"].split("<|fim_pad|>")
item["text"] = parts[0] + "".join(
self.tokenizer.decode([next(values)], skip_special_tokens=False) + part
for part in parts[1:]
)
return result
def bind_history_tokens(self, prefix_ids, row):
return self.upstream.bind_history_tokens(
prefix_ids, self._coordinate_view(row), self.legacy
)
def prepare_example(self, row, processor, image_loader):
import torch
prompt = processor.apply_chat_template(
self.messages(row), tokenize=False, add_generation_prompt=True
)
visual = processor(
text=[prompt],
images=[image_loader(im["path"]) for im in row["images"]],
return_tensors="pt",
)
prefix, _ = self.bind_history_tokens(visual["input_ids"][0].tolist(), row)
built = self.upstream.build_parallel_input(self.tokenizer, prefix)
ids = torch.tensor([built.input_ids], dtype=torch.long)
return {
"input_ids": ids,
"attention_mask": torch.ones_like(ids),
"pixel_values": visual["pixel_values"],
"image_grid_thw": visual["image_grid_thw"],
"slot_positions": torch.tensor([built.slot_positions]),
"prefix_lengths": torch.tensor([built.prefix_length]),
"lengths": torch.tensor([ids.shape[1]]),
}, self.adapt_training_target(row)
def execution_plan(self, action, size, platform="android", *, config, installed_apps=None):
if config.protocol != PROTOCOL:
raise ValueError("execution_protocol_mismatch")
action = self.adapt_target(action, platform).canonical_action
if platform == "android":
if action["action"] == "scroll":
return [("adb_shell", direction_scroll_argv(action["direction"], size, config))]
if action["action"] in ("wait", "long_press") and "time" not in action:
seconds = (
config.wait_seconds if action["action"] == "wait" else config.long_press_seconds
)
action = dict(action, time=seconds)
return self.upstream.execution_plan(
self.legacy, action, size, platform, installed_apps=installed_apps
)
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