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818282c | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 | """Focused contract checks for ``generate_mtp(..., capture_trace=True)``."""
import os
import sys
from types import SimpleNamespace
import mlx.core as mx
import numpy as np
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from sample import generate_mtp # noqa: E402
from scripts.rollout_metrics import ( # noqa: E402
token_ids_sha256,
validate_generation_trace,
)
TRACE_KEYS = {
"schema_version",
"prompt_token_count",
"max_tokens",
"cycles",
}
CYCLE_KEYS = {
"cycle_index",
"output_start",
"prefix_token_count",
"prefix_sha256",
"state_source",
"bonus_token",
"draft_attempts",
"verification",
"emitted_token_ids",
"next_state",
}
ATTEMPT_KEYS = {
"depth",
"normalized_entropy",
"issued",
"draft_token",
}
VERIFICATION_KEYS = {
"candidate_sha256",
"base_row_index",
"projected_row_count",
"outcomes",
"rejection_depth",
"fully_accepted",
"unused_drafts",
}
OUTCOME_KEYS = {
"depth",
"draft_token",
"target_argmax_token",
"target_row_index",
"accepted",
"emitted_token",
}
class ToyModel:
"""Tiny causal lookup model with a scripted MTP draft distribution."""
def __init__(self, target_next, diffuse_second_draft=False):
self.target_next = target_next
self.diffuse_second_draft = diffuse_second_draft
self.vocab_size = 12
self.norm = SimpleNamespace(
weight=mx.ones((1,), dtype=mx.float32)
)
def tok_emb(self, token_ids):
return token_ids.astype(mx.float32)[..., None]
def trunk(self, token_ids, mask):
return token_ids.astype(mx.float32)[..., None], []
def mtp(self, hidden, token_emb, mask):
del token_emb, mask
last = float(np.asarray(hidden[0, -1, 0]))
marker = -1.0 if last >= 0 else last - 1.0
return mx.full(hidden.shape, marker, dtype=mx.float32), []
def head(self, hidden):
values = np.asarray(hidden, dtype=np.float32)[0, :, 0]
logits = np.full(
(1, len(values), self.vocab_size), -10.0, dtype=np.float32
)
for row, value in enumerate(values):
marker = int(round(float(value)))
if marker < 0:
if marker <= -2 and self.diffuse_second_draft:
logits[0, row, :] = 0.0
else:
logits[0, row, 7] = 10.0
else:
logits[0, row, self.target_next[marker]] = 10.0
return mx.array(logits)
def run(model, max_tokens, depth, policy="fixed", capture_trace=True):
return generate_mtp(
model,
None,
[1, 2],
max_tokens,
depth,
0.0,
0,
1.0,
0.0,
np.random.default_rng(123),
policy=policy,
entropy_threshold=0.5,
capture_trace=capture_trace,
)
def assert_strict_schema(trace):
assert set(trace) == TRACE_KEYS
assert trace["schema_version"] == 1
for index, cycle in enumerate(trace["cycles"]):
assert set(cycle) == CYCLE_KEYS
assert cycle["cycle_index"] == index
assert cycle["state_source"] in {
"full_recompute",
"verification_reuse",
}
assert cycle["next_state"] in {
"verification_reuse",
"full_recompute",
"terminal",
}
for attempt in cycle["draft_attempts"]:
assert set(attempt) == ATTEMPT_KEYS
verification = cycle["verification"]
if verification is None:
assert cycle["next_state"] == "terminal"
assert cycle["draft_attempts"] == []
assert cycle["emitted_token_ids"] == [cycle["bonus_token"]]
continue
assert set(verification) == VERIFICATION_KEYS
for outcome in verification["outcomes"]:
assert set(outcome) == OUTCOME_KEYS
def assert_offline_validator_accepts(tokens, stats):
output = tokens[2:]
validate_generation_trace(
stats["generation_trace"],
[1, 2],
output,
stats,
top_level={
"tokens": stats["tokens"],
"accepted_drafts": sum(
stats["rollout_accepted_per_depth"]
),
"corrections": stats["corrections"],
"drafts_issued": stats["drafts_issued"],
"draft_recursions": stats["draft_recursions"],
"verification_forwards": stats["verification_forwards"],
"target_forwards": stats["target_forwards"],
"elapsed_seconds": stats["elapsed_seconds"],
},
vocab_size=12,
)
def test_acceptance_reuse_and_bonus_only_terminal():
model = ToyModel({1: 2, 2: 3, 3: 7, 7: 3})
tokens, stats = run(model, max_tokens=3, depth=1)
assert tokens == [1, 2, 3, 7, 3]
assert stats["tok_per_sec"] == (
stats["tokens"] / max(stats["elapsed_seconds"], 1e-9)
)
trace = stats["generation_trace"]
assert_strict_schema(trace)
assert_offline_validator_accepts(tokens, stats)
assert trace["prompt_token_count"] == 2
assert trace["max_tokens"] == 3
assert len(trace["cycles"]) == 2
first, second = trace["cycles"]
assert first == {
"cycle_index": 0,
"output_start": 0,
"prefix_token_count": 2,
"prefix_sha256": token_ids_sha256([1, 2]),
"state_source": "full_recompute",
"bonus_token": 3,
"draft_attempts": [{
"depth": 1,
"normalized_entropy": first["draft_attempts"][0][
"normalized_entropy"
],
"issued": True,
"draft_token": 7,
}],
"verification": {
"candidate_sha256": token_ids_sha256([1, 2, 3, 7]),
"base_row_index": 2,
"projected_row_count": 2,
"outcomes": [{
"depth": 1,
"draft_token": 7,
"target_argmax_token": 7,
"target_row_index": 2,
"accepted": True,
"emitted_token": 7,
}],
"rejection_depth": None,
"fully_accepted": True,
"unused_drafts": 0,
},
"emitted_token_ids": [3, 7],
"next_state": "verification_reuse",
}
assert second == {
"cycle_index": 1,
"output_start": 2,
"prefix_token_count": 4,
"prefix_sha256": token_ids_sha256([1, 2, 3, 7]),
"state_source": "verification_reuse",
"bonus_token": 3,
"draft_attempts": [],
"verification": None,
"emitted_token_ids": [3],
"next_state": "terminal",
}
_, untraced = run(
ToyModel({1: 2, 2: 3, 3: 7, 7: 3}),
max_tokens=1,
depth=1,
capture_trace=False,
)
assert "generation_trace" not in untraced
def test_rejection_unused_draft_and_recompute():
model = ToyModel({1: 2, 2: 3, 3: 8, 7: 7, 8: 4})
tokens, stats = run(model, max_tokens=3, depth=2)
assert tokens == [1, 2, 3, 8, 4]
trace = stats["generation_trace"]
assert_strict_schema(trace)
assert_offline_validator_accepts(tokens, stats)
first, second = trace["cycles"]
assert first["draft_attempts"][0]["draft_token"] == 7
assert first["draft_attempts"][1]["draft_token"] == 7
assert first["verification"] == {
"candidate_sha256": token_ids_sha256([1, 2, 3, 7, 7]),
"base_row_index": 2,
"projected_row_count": 3,
"outcomes": [{
"depth": 1,
"draft_token": 7,
"target_argmax_token": 8,
"target_row_index": 2,
"accepted": False,
"emitted_token": 8,
}],
"rejection_depth": 1,
"fully_accepted": False,
"unused_drafts": 1,
}
assert first["emitted_token_ids"] == [3, 8]
assert first["next_state"] == "full_recompute"
assert second["prefix_sha256"] == token_ids_sha256([1, 2, 3, 8])
assert second["state_source"] == "full_recompute"
assert second["verification"] is None
def test_adaptive_stop_attempt_is_recorded():
model = ToyModel(
{1: 2, 2: 3, 3: 7, 7: 3},
diffuse_second_draft=True,
)
tokens, stats = run(
model,
max_tokens=2,
depth=2,
policy="adaptive",
)
assert tokens == [1, 2, 3, 7]
trace = stats["generation_trace"]
assert_strict_schema(trace)
assert_offline_validator_accepts(tokens, stats)
cycle = trace["cycles"][0]
assert cycle["draft_attempts"][0]["issued"] is True
assert cycle["draft_attempts"][0]["draft_token"] == 7
stopped = cycle["draft_attempts"][1]
assert stopped["depth"] == 2
assert stopped["normalized_entropy"] == 1.0
assert stopped["issued"] is False
assert stopped["draft_token"] is None
assert cycle["verification"]["projected_row_count"] == 2
assert cycle["verification"]["unused_drafts"] == 0
assert cycle["next_state"] == "terminal"
def test_terminal_truncation_records_unconsumed_issued_draft():
model = ToyModel({1: 2, 2: 3, 3: 7, 7: 7})
tokens, stats = run(model, max_tokens=2, depth=2)
assert tokens == [1, 2, 3, 7]
cycle = stats["generation_trace"]["cycles"][0]
assert_offline_validator_accepts(tokens, stats)
assert cycle["verification"]["candidate_sha256"] == token_ids_sha256(
[1, 2, 3, 7, 7]
)
assert len(cycle["draft_attempts"]) == 2
assert len(cycle["verification"]["outcomes"]) == 1
assert cycle["verification"]["rejection_depth"] is None
assert cycle["verification"]["fully_accepted"] is False
assert cycle["verification"]["unused_drafts"] == 1
assert cycle["emitted_token_ids"] == [3, 7]
assert cycle["next_state"] == "terminal"
def main():
test_acceptance_reuse_and_bonus_only_terminal()
test_rejection_unused_draft_and_recompute()
test_adaptive_stop_attempt_is_recorded()
test_terminal_truncation_records_unconsumed_issued_draft()
print("mtp generation trace: PASS")
if __name__ == "__main__":
main()
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