File size: 16,312 Bytes
a402b9b | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 | import sys
from pathlib import Path
import pytest
import torch
from sglang.srt.debug_utils.comparator.output_types import SummaryRecord
from sglang.srt.debug_utils.comparator.utils import (
Pair,
argmax_coord,
auto_descend_dir,
calc_per_token_rel_diff,
calc_rel_diff,
compute_exit_code,
compute_smaller_dtype,
try_unify_shape,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=10, suite="default", nightly=True)
class TestCalcRelDiff:
def test_identical_tensors(self):
x = torch.randn(10, 10)
assert calc_rel_diff(x, x).item() == pytest.approx(0.0, abs=1e-5)
def test_orthogonal_tensors(self):
result = calc_rel_diff(
torch.tensor([1.0, 0.0]), torch.tensor([0.0, 1.0])
).item()
assert result == pytest.approx(1.0, abs=1e-5)
def test_similar_tensors(self):
x = torch.tensor([1.0, 2.0, 3.0])
y = torch.tensor([1.01, 2.01, 3.01])
result = calc_rel_diff(x, y).item()
assert 0.0 < result < 0.01
def test_negated_tensors(self):
x = torch.tensor([1.0, 2.0])
result = calc_rel_diff(x, -x).item()
assert result == pytest.approx(2.0, abs=1e-5)
class TestCalcPerTokenRelDiff:
def test_identical_tensors(self) -> None:
"""Identical tensors → per-token diff all zero."""
x: torch.Tensor = torch.randn(8, 16)
result: torch.Tensor = calc_per_token_rel_diff(x, x, seq_dim=0)
assert result.shape == (8,)
assert torch.allclose(result, torch.zeros(8), atol=1e-6)
def test_different_tensors(self) -> None:
"""Single token position differs → that position has higher diff."""
torch.manual_seed(42)
x: torch.Tensor = torch.randn(8, 16)
y: torch.Tensor = x.clone()
y[3, :] += 10.0
result: torch.Tensor = calc_per_token_rel_diff(x, y, seq_dim=0)
assert result.shape == (8,)
assert result[3] > result[0]
assert result[3] > result[7]
for i in [0, 1, 2, 4, 5, 6, 7]:
assert result[i] < 1e-6
def test_seq_dim_selection(self) -> None:
"""Different seq_dim values produce correct output shapes."""
x: torch.Tensor = torch.randn(4, 8, 16)
y: torch.Tensor = x + torch.randn_like(x) * 0.01
assert calc_per_token_rel_diff(x, y, seq_dim=0).shape == (4,)
assert calc_per_token_rel_diff(x, y, seq_dim=1).shape == (8,)
assert calc_per_token_rel_diff(x, y, seq_dim=2).shape == (16,)
def test_1d_tensor(self) -> None:
"""1D tensor with seq_dim=0 returns per-element diff."""
x: torch.Tensor = torch.tensor([1.0, 2.0, 3.0])
y: torch.Tensor = torch.tensor([1.0, 2.0, 4.0])
result: torch.Tensor = calc_per_token_rel_diff(x, y, seq_dim=0)
assert result.shape == (3,)
assert result[0] < 1e-6
assert result[1] < 1e-6
assert result[2] > 0.01
class TestArgmaxCoord:
def test_1d_tensor(self):
x = torch.tensor([0.0, 0.0, 5.0, 0.0])
assert argmax_coord(x) == (2,)
def test_2d_tensor(self):
x = torch.zeros(3, 4)
x[1, 2] = 10.0
assert argmax_coord(x) == (1, 2)
def test_3d_tensor(self):
x = torch.zeros(2, 3, 4)
x[1, 2, 3] = 10.0
assert argmax_coord(x) == (1, 2, 3)
class TestTryUnifyShape:
def test_squeeze_leading_ones(self):
target = torch.Size([3, 4])
assert try_unify_shape(torch.randn(1, 1, 3, 4), target).shape == target
def test_no_squeeze_when_leading_dim_not_one(self):
target = torch.Size([3, 4])
assert try_unify_shape(torch.randn(2, 3, 4), target).shape == (2, 3, 4)
def test_same_shape_noop(self):
target = torch.Size([3, 4])
x = torch.randn(3, 4)
result = try_unify_shape(x, target)
assert result.shape == target
assert result.data_ptr() == x.data_ptr()
def test_trailing_dims_mismatch(self):
target = torch.Size([5, 6])
x = torch.randn(1, 3, 4)
result = try_unify_shape(x, target)
assert result.shape == (1, 3, 4)
class TestComputeSmallerDtype:
def test_float32_bfloat16(self):
assert (
compute_smaller_dtype(Pair(x=torch.float32, y=torch.bfloat16))
== torch.bfloat16
)
def test_reverse_order(self):
assert (
compute_smaller_dtype(Pair(x=torch.bfloat16, y=torch.float32))
== torch.bfloat16
)
def test_same_dtype_returns_none(self):
assert compute_smaller_dtype(Pair(x=torch.float32, y=torch.float32)) is None
def test_unknown_pair_returns_none(self):
assert compute_smaller_dtype(Pair(x=torch.int32, y=torch.int64)) is None
class TestPairMap:
def test_map_basic(self):
pair = Pair(x=[1, 2, 3], y=[4, 5, 6])
result = pair.map(lambda lst: sum(lst))
assert result.x == 6
assert result.y == 15
def test_map_type_change(self):
pair = Pair(x=[1, 2, 3], y=[10, 20])
result = pair.map(len)
assert result.x == 3
assert result.y == 2
def test_map_returns_new_pair(self):
pair = Pair(x="hello", y="world")
result = pair.map(str.upper)
assert result.x == "HELLO"
assert result.y == "WORLD"
assert result is not pair
class TestComputeExitCode:
"""Unit tests for compute_exit_code logic."""
def test_all_passed(self):
"""All passed → exit 0."""
summary = SummaryRecord(total=3, passed=3, failed=0, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=None,
failed_names=[],
)
== 0
)
def test_has_failed_and_passed(self):
"""Has failed and passed → exit 1."""
summary = SummaryRecord(total=4, passed=2, failed=2, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=None,
failed_names=["a", "b"],
)
== 1
)
def test_all_failed(self):
"""All failed (0 passed) → exit 1."""
summary = SummaryRecord(total=3, passed=0, failed=3, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=None,
failed_names=["a", "b", "c"],
)
== 1
)
def test_all_skipped_allow_all(self):
"""All skipped + allow_skipped_pattern='.*' → exit 1 (nothing passed)."""
summary = SummaryRecord(total=2, passed=0, failed=0, skipped=2)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=["a", "b"],
allow_failed_pattern=None,
failed_names=[],
)
== 1
)
def test_all_skipped_forbid_all(self):
"""All skipped + allow_skipped_pattern='^$' → exit 1."""
summary = SummaryRecord(total=2, passed=0, failed=0, skipped=2)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="^$",
skipped_names=["a", "b"],
allow_failed_pattern=None,
failed_names=[],
)
== 1
)
def test_passed_and_skipped_allow_all(self):
"""Passed + skipped, allow all → exit 0."""
summary = SummaryRecord(total=3, passed=2, failed=0, skipped=1)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=["a"],
allow_failed_pattern=None,
failed_names=[],
)
== 0
)
def test_passed_and_skipped_forbid_all(self):
"""Passed + skipped + forbid all → exit 1."""
summary = SummaryRecord(total=3, passed=2, failed=0, skipped=1)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="^$",
skipped_names=["a"],
allow_failed_pattern=None,
failed_names=[],
)
== 1
)
def test_skip_pattern_matches_specific_name(self):
"""Pattern matching specific name allows that skip, forbids others."""
summary = SummaryRecord(total=4, passed=2, failed=0, skipped=2)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="positions|seq_lens",
skipped_names=["positions", "seq_lens"],
allow_failed_pattern=None,
failed_names=[],
)
== 0
)
def test_skip_pattern_partial_match_forbidden(self):
"""Pattern matches some skips but not all → exit 1."""
summary = SummaryRecord(total=4, passed=1, failed=0, skipped=3)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="positions|seq_lens",
skipped_names=["positions", "seq_lens", "hidden_states"],
allow_failed_pattern=None,
failed_names=[],
)
== 1
)
def test_allow_failed_pattern_matches_all(self):
"""allow_failed_pattern='.*' tolerates all failures → exit 0."""
summary = SummaryRecord(total=3, passed=1, failed=2, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=".*",
failed_names=["a", "b"],
)
== 0
)
def test_allow_failed_pattern_matches_specific(self):
"""Pattern matches all failed names → exit 0."""
summary = SummaryRecord(total=3, passed=1, failed=2, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern="hidden_states|logits",
failed_names=["hidden_states", "logits"],
)
== 0
)
def test_allow_failed_pattern_partial_match(self):
"""Pattern matches some but not all failures → exit 1."""
summary = SummaryRecord(total=3, passed=0, failed=3, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern="hidden_states",
failed_names=["hidden_states", "logits", "attn"],
)
== 1
)
def test_allow_failed_pattern_no_failures(self):
"""Pattern set but no failures → exit 0."""
summary = SummaryRecord(total=2, passed=2, failed=0, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=".*",
failed_names=[],
)
== 0
)
def test_both_failed_and_skipped_patterns(self):
"""Both patterns set, both satisfied → exit 0."""
summary = SummaryRecord(total=4, passed=1, failed=1, skipped=2)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="positions|seq_lens",
skipped_names=["positions", "seq_lens"],
allow_failed_pattern="logits",
failed_names=["logits"],
)
== 0
)
def test_failed_pattern_satisfied_but_skipped_not(self):
"""Failed pattern OK but skipped pattern fails → exit 1."""
summary = SummaryRecord(total=3, passed=1, failed=1, skipped=1)
assert (
compute_exit_code(
summary,
allow_skipped_pattern="^$",
skipped_names=["a"],
allow_failed_pattern=".*",
failed_names=["b"],
)
== 1
)
def test_zero_passed_exits_one(self):
"""No tensors passed → exit 1, even when all failures are allowed."""
summary = SummaryRecord(total=2, passed=0, failed=2, skipped=0)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=".*",
failed_names=["a", "b"],
)
== 1
)
def test_zero_passed_all_skipped_exits_one(self):
"""All skipped, nothing passed → exit 1."""
summary = SummaryRecord(total=3, passed=0, failed=0, skipped=3)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=["a", "b", "c"],
allow_failed_pattern=None,
failed_names=[],
)
== 1
)
def test_errored_with_passed_exits_one(self):
"""Has errored bundle even with passed → exit 1."""
summary = SummaryRecord(total=3, passed=2, failed=0, skipped=0, errored=1)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=None,
failed_names=[],
errored_names=["broken_tensor"],
)
== 1
)
def test_errored_only_exits_one(self):
"""All errored → exit 1 (passed==0 already exits 1, but errored also independently triggers)."""
summary = SummaryRecord(total=1, passed=0, failed=0, skipped=0, errored=1)
assert (
compute_exit_code(
summary,
allow_skipped_pattern=".*",
skipped_names=[],
allow_failed_pattern=None,
failed_names=[],
errored_names=["broken_tensor"],
)
== 1
)
def _make_pt(directory: Path) -> None:
directory.mkdir(parents=True, exist_ok=True)
torch.save(torch.tensor([1.0]), directory / "dummy.pt")
class TestAutoDescendDir:
def test_no_descend_when_pt_at_root(self, tmp_path: Path) -> None:
"""Directory with .pt files directly is returned as-is."""
_make_pt(tmp_path)
_make_pt(tmp_path / "child_a")
assert auto_descend_dir(tmp_path, label="test") == tmp_path
def test_descend_into_single_child(self, tmp_path: Path) -> None:
"""Single child with .pt triggers descend."""
child: Path = tmp_path / "engine_0"
_make_pt(child)
assert auto_descend_dir(tmp_path, label="test") == child
def test_descend_single_nonempty_child_among_empty(self, tmp_path: Path) -> None:
"""Two subdirs but only one has .pt — descend into that one."""
nonempty: Path = tmp_path / "engine_0"
_make_pt(nonempty)
(tmp_path / "empty_child").mkdir()
assert auto_descend_dir(tmp_path, label="test") == nonempty
def test_error_with_multiple_nonempty_children(self, tmp_path: Path) -> None:
"""Two children with .pt files — ambiguous, raises ValueError."""
_make_pt(tmp_path / "engine_0")
_make_pt(tmp_path / "engine_1")
with pytest.raises(ValueError, match="multiple subdirectories contain data"):
auto_descend_dir(tmp_path, label="test")
def test_error_when_no_data_found(self, tmp_path: Path) -> None:
"""No .pt files anywhere — raises ValueError."""
(tmp_path / "empty_child").mkdir()
with pytest.raises(ValueError, match="no .pt files found"):
auto_descend_dir(tmp_path, label="test")
if __name__ == "__main__":
sys.exit(pytest.main([__file__]))
|