Instructions to use dongjintao/GUI-Swift-Mobile-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dongjintao/GUI-Swift-Mobile-2B with PEFT:
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- Notebooks
- Google Colab
- Kaggle
File size: 12,327 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 | """Versioned Android-only 105-slot adapter; frozen 133-slot models are unchanged.
The user-selected layout is action(1), two coordinate pairs(4), text(100).
Reuse the pinned GUI-Decisions coordinate codebook/targets/readout and the
existing exact text/EOS codec. The one-slot action code is a new, explicit
categorical mapping, not a claim that action names tokenize to one token.
"""
import hashlib
import json
from dataclasses import dataclass, field, replace
from trace2task.mobile133_codec import BUNDLE, Mobile133Codec
from trace2task.mobile133_protocol import MobileExecutionConfig
PROTOCOL = "gui-swift-mobile105-v1"
ACTIONS = (
"tap",
"long_press",
"swipe",
"scroll_up",
"scroll_down",
"scroll_left",
"scroll_right",
"type_text",
"open_app",
"back",
"home",
"enter",
"menu",
"wait",
"done",
"failed",
)
ACTION_LABELS = tuple("ABCDEFGHIJKLMNOP")
FIELD_WIDTHS = (
("action", 1),
("coordinate.x", 1),
("coordinate.y", 1),
("coordinate2.x", 1),
("coordinate2.y", 1),
("text", 100),
)
LITERALS = (
'<action>{"action":"',
'","coordinate":[',
",",
'],"coordinate2":[',
",",
'],"text":"',
'"}</action>',
)
# Only coordinate/text value positions are copied from the pinned parameter codec.
PARAMETER_POSITIONS = {**{p: p - 1 for p in range(2, 6)}, **{p: p - 28 for p in range(33, 133)}}
SYSTEM = (
"Execute the current Android instruction using the screenshot and executed-action history. "
"Predict the 105 masked values in one forward: action, x, y, x2, y2, and 100 text slots. "
"Action codes: " + ", ".join(f"{label}={a}" for label, a in zip(ACTION_LABELS, ACTIONS)) + ". "
"tap/long_press use x,y; swipe uses both coordinate pairs; type_text/open_app use text. "
"Other actions have no parameters. Coordinates and historical coordinates use the same "
"256-bin codebook; the decoder maps them to 0-1000. Scroll direction means browsing direction. "
"Copy text exactly, at most 99 native tokens followed by EOS. Timing is an executor setting. "
"Predict only applicable fields in the supplied <action> table; do not output explanations."
)
def from_source_action(action):
"""Lossless semantic projection of an admitted Android action, also for history."""
a = action.get("action")
if a in ("click", "long_press", "swipe", "type", "open", "wait"):
expected = {"action"}
if a in ("click", "long_press", "swipe"):
expected.add("coordinate")
if a == "swipe":
expected.add("coordinate2")
if a in ("type", "open"):
expected.add("text")
if set(action) != expected:
raise ValueError("mobile105_unrepresentable_parameters:" + str(a))
return dict(
action, action={"click": "tap", "type": "type_text", "open": "open_app"}.get(a, a)
)
if a == "scroll" and set(action) == {"action", "direction"}:
name = "scroll_" + str(action["direction"])
if name in ACTIONS:
return {"action": name}
if a == "system_button" and set(action) == {"action", "button"}:
names = {"Back": "back", "Home": "home", "Enter": "enter", "Menu": "menu"}
if action["button"] in names:
return {"action": names[action["button"]]}
if a == "key" and set(action) == {"action", "text"}:
names = {"BACK": "back", "HOME": "home", "ENTER": "enter", "MENU": "menu"}
if action["text"] in names:
return {"action": names[action["text"]]}
if (
a == "terminate"
and set(action) == {"action", "status"}
and action["status"] in ("success", "failure")
):
return {"action": "done" if action["status"] == "success" else "failed"}
raise ValueError("unsupported_mobile105_source_action:" + str(action))
def to_source_action(action):
a = action.get("action")
if a not in ACTIONS:
raise ValueError("unknown_mobile105_action")
if a in ("tap", "long_press", "swipe", "type_text", "open_app", "wait"):
result = dict(
action, action={"tap": "click", "type_text": "type", "open_app": "open"}.get(a, a)
)
elif set(action) != {"action"}:
raise ValueError("mobile105_unexpected_parameters")
elif a.startswith("scroll_"):
result = {"action": "scroll", "direction": a.removeprefix("scroll_")}
elif a in ("back", "home", "enter", "menu"):
result = {"action": "system_button", "button": a.capitalize()}
else:
result = {"action": "terminate", "status": "success" if a == "done" else "failure"}
# Reject time or any silently ignored extra fields, including for history.
if from_source_action(result) != action:
raise ValueError("mobile105_noncanonical_action")
return result
@dataclass(frozen=True)
class Mobile105ExecutionConfig:
protocol: str = PROTOCOL
primitives: MobileExecutionConfig = field(default_factory=MobileExecutionConfig)
def __post_init__(self):
if self.protocol != PROTOCOL or not isinstance(self.primitives, MobileExecutionConfig):
raise ValueError("mobile105_execution_contract_mismatch")
class Mobile105Codec:
variant = PROTOCOL
output_slots = 105
def __init__(self, tokenizer, *, bundle=BUNDLE):
self.source_codec = Mobile133Codec(tokenizer, bundle=bundle)
self.upstream = self.source_codec.upstream
for name in (
"tokenizer",
"base_codec",
"bin_ids",
"codebook_sha256",
"mask_id",
"pad_id",
"eos_id",
"special_ids",
"vocab_size",
):
setattr(self, name, getattr(self.source_codec, name))
self.action_ids = {
a: self.base_codec._single(label)
for label, a in zip(ACTION_LABELS, ACTIONS, strict=True)
}
if len(set(self.action_ids.values())) != len(ACTIONS):
raise ValueError("mobile105_action_code_collision")
built = self.build_parallel_input()
self.input_ids, self.slot_positions = built.input_ids, built.slot_positions
self.field_slices = {}
start = 0
for name, width in FIELD_WIDTHS:
self.field_slices[name] = slice(start, start + width)
start += width
assert start == self.output_slots
def build_parallel_input(self, prefix_ids=()):
from trace2task.gui_owl_short_parallel_input import ParallelInput
ids, positions, fields = list(prefix_ids), [], []
for literal, (name, width) in zip(LITERALS[:-1], FIELD_WIDTHS, strict=True):
ids.extend(self.tokenizer.encode(literal, add_special_tokens=False).ids)
pos = tuple(range(len(ids), len(ids) + width))
positions.extend(pos)
fields.append((name, pos))
ids.extend([self.mask_id] * width)
ids.extend(self.tokenizer.encode(LITERALS[-1], add_special_tokens=False).ids)
return ParallelInput(tuple(ids), tuple(positions), tuple(fields), len(prefix_ids))
def contract(self):
return {
"protocol": PROTOCOL,
"output_slots": 105,
"layout": [[name, width] for name, width in FIELD_WIDTHS],
"action_codes": [
{"action": a, "label": label, "token_id": self.action_ids[a]}
for label, a in zip(ACTION_LABELS, ACTIONS, strict=True)
],
"coordinate_codebook_sha256": self.codebook_sha256,
"scaffold_sha256": hashlib.sha256(json.dumps(self.input_ids).encode()).hexdigest(),
"max_text_tokens": 99,
"text_slots_including_eos": 100,
"timing": "executor defaults, no duration labels",
"scroll_direction": "browsing direction; no predicted endpoints",
"inactive_slots": "ignored in supervision and execution",
"readout": "native causal logits at slot_position-1; single forward",
}
def validate_contract(self, value):
if value != self.contract():
raise ValueError("mobile105_protocol_contract_mismatch")
def adapt_target(self, action, *, coordinate_supervision=None):
source = to_source_action(action)
t = self.source_codec.adapt_target(
source, "android", coordinate_supervision=coordinate_supervision
)
canonical = from_source_action(t.canonical_action)
ids, hard = [self.pad_id] * 105, [-100] * 105
ids[0] = hard[0] = self.action_ids[canonical["action"]]
soft, fields = {}, [("action", 0, 1)]
for name, start, stop in t.fields:
if name not in self.field_slices or name == "action":
continue # direction/button/status are encoded by the action class.
for old in range(start, stop):
new = PARAMETER_POSITIONS[old]
ids[new], hard[new] = t.target_ids[old], t.hard_labels[old]
if old in t.soft_labels:
soft[new] = t.soft_labels[old]
fields.append((name, PARAMETER_POSITIONS[start], PARAMETER_POSITIONS[stop - 1] + 1))
return replace(
t,
canonical_action=canonical,
target_ids=tuple(ids),
hard_labels=tuple(hard),
soft_labels=soft,
fields=tuple(fields),
)
def adapt_training_target(self, row):
self.source_codec.check_row(row)
if row["platform"] != "android":
raise ValueError("mobile105_requires_android")
return self.adapt_target(
from_source_action(row["target"]),
coordinate_supervision=self.upstream.coordinate_metadata_from_row(row),
)
def messages(self, row):
self.source_codec.check_row(row)
if row["platform"] != "android":
raise ValueError("mobile105_requires_android")
history = [
dict(step, actions=[from_source_action(a) for a in step["actions"]])
for step in row["history"]
]
# Reuse the pinned image order, complete-history formatter and escaping.
result = self.upstream.messages(dict(row, history=history))
result[0]["content"] = SYSTEM
result[1]["content"][0]["text"] = result[1]["content"][0]["text"].replace(
"\nTask: ", "\nCurrent instruction: ", 1
)
return result
def bind_history_tokens(self, prefix_ids, row):
# The action-name projection preserves coordinate order and every history item.
return self.source_codec.bind_history_tokens(prefix_ids, row)
def decode(self, logits):
import torch
if logits.ndim != 2 or logits.shape[0] != 105 or logits.shape[1] < self.vocab_size:
raise ValueError("expected_105_by_vocab_logits")
if not torch.isfinite(logits).all():
raise ValueError("nonfinite_logits")
a = ACTIONS[int(logits[0, list(self.action_ids.values())].argmax())]
if a not in ("tap", "long_press", "swipe", "type_text", "open_app"):
return {"action": a}
# Parameter-only compatibility adapter: no second model call, no new readout rule.
full = logits.new_full((133, logits.shape[1]), -60)
old = list(PARAMETER_POSITIONS)
full[old] = logits[list(PARAMETER_POSITIONS.values())]
old_name = {"tap": "click", "type_text": "type", "open_app": "open"}.get(a, a)
for p, token in enumerate(self.source_codec.action_encodings[old_name]):
full[p, token] = 60
if a == "long_press":
full[self.source_codec.field_slices["time"], self.pad_id] = 60
decoded = self.source_codec.decode(full, platform="android")
return from_source_action(decoded)
def execution_plan(self, action, size, *, config, installed_apps=None):
if not isinstance(config, Mobile105ExecutionConfig) or config.protocol != PROTOCOL:
raise ValueError("mobile105_execution_contract_mismatch")
canonical = self.adapt_target(action).canonical_action
return self.source_codec.execution_plan(
to_source_action(canonical),
size,
config=config.primitives,
installed_apps=installed_apps,
)
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