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vLLM-4x-RTX-3090/patches/0030-e2_guards-executable-graph-profile-and-breakable-cud.patch
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MOVZX 777e910dd0 Initial commit 
Signed-off-by: MOVZX <movzx@yahoo.com>
2026-10-15 01:01:52 +07:00

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From 00abe3b259622c748b332d94269be0fd8db44bd0 Mon Sep 17 00:00:00 2001
From: halt95 <halt95@users.noreply.github.com>
Date: Tue, 22 Sep 2026 08:37:51 -0400
Subject: [PATCH 030/103] e2_guards: executable graph-profile and
breakable-cudagraph guards
New vllm/v1/e2_guards.py, called from the target and MTP constructors on every
rank before profiling or capture: the breakable-cudagraph pin is asserted
(three readings of the switch), a graph profile that cannot execute on v0.30.0
is refused, and VLLM_E2_EXPECTED_CUDAGRAPH_MODE is checked by name. Tests
cover the drafter. An inert knob is no longer hashed into the cache key.
---
.../test_ple_fp8_selector_checkpoint.py | 276 ++++++++++++++++++
tests/test_envs.py | 15 +-
tests/v1/test_e2_guards.py | 215 ++++++++++++++
vllm/envs.py | 63 +++-
vllm/models/qwen4_exp/nvidia/model.py | 8 +
vllm/models/qwen4_exp/nvidia/mtp.py | 5 +
vllm/v1/e2_guards.py | 218 ++++++++++++++
vllm/v1/ple_offload/test_fault.py | 13 -
vllm/v1/worker/gpu_worker.py | 112 -------
9 files changed, 792 insertions(+), 133 deletions(-)
create mode 100644 tests/models/qwen4_exp/test_ple_fp8_selector_checkpoint.py
create mode 100644 tests/v1/test_e2_guards.py
create mode 100644 vllm/v1/e2_guards.py
delete mode 100644 vllm/v1/ple_offload/test_fault.py
diff --git a/tests/models/qwen4_exp/test_ple_fp8_selector_checkpoint.py b/tests/models/qwen4_exp/test_ple_fp8_selector_checkpoint.py
new file mode 100644
index 0000000..815a22f
--- /dev/null
+++ b/tests/models/qwen4_exp/test_ple_fp8_selector_checkpoint.py
@@ -0,0 +1,276 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""The shipped Flash-Next checkpoint must still select the FP8 PLE method on v0.30.0.
+
+Why this file exists (vLLM 0.30 rebase). Our
+fork used to force the FP8 PLE embedding method from a 21-line catch-all branch
+in ``_get_ple_embedding_quant_method``. That function lived in the half of
+``vllm/models/qwen4_exp/nvidia/ple_layer.py`` that upstream #54371 deleted, so
+the branch is gone from the 0.30 base and the environment switch that fed it
+(``VLLM_PLE_FP8_GLOBAL_SCALE``) is now inert.
+
+v0.30.0 selects instead in ``Qwen4ExpPLEEmbeddingMethod.from_quant_config``
+(``ngram_embedding.py:168-208``), which is stricter: it takes the FP8 path from
+``text_config.ple_embedding_dtype == "float8_e4m3fn"`` (``:174-175``), and for a
+quantization config that is neither ``Fp8Config`` nor a ModelOpt variant it
+**raises** ``NotImplementedError`` (``:186-190``). Our checkpoint is
+compressed-tensors, so without that key the model would not build at all.
+
+The first version of this file was rejected for reading a plain dict and
+never exercising the resolution chain, for naming the wrong engine prefix, and
+for conflating a dequantization check with a scale-loading check. This version
+walks the real chain --
+``Qwen4ExpConfig(**config.json)`` (``models/qwen4_exp/config.py:231``)
+-> ``get_hf_text_config()`` (``transformers_utils/config.py:1142``)
+-> ``getattr(text_config, "ple_embedding_dtype")`` as
+``ngram_embedding.py:694-699`` reads it -- and keeps the three questions apart.
+
+Fixture provenance: the published checkpoint's ``config.json``, the
+published v2.0.1 card. Excerpted verbatim for every field the
+selector or the resolver touches; ``config_groups`` keeps one representative
+group and ``ignore`` its first nine entries.
+"""
+
+import pytest
+
+from vllm.model_executor.layers.quantization.compressed_tensors.compressed_tensors import ( # noqa: E501
+ CompressedTensorsConfig,
+)
+from vllm.model_executor.layers.quantization.fp8 import Fp8Config
+from vllm.models.qwen4_exp.nvidia.ngram_embedding import (
+ Qwen4ExpPLEEmbeddingMethod,
+ Qwen4ExpPLEFp8EmbeddingMethod,
+ Qwen4ExpPLEUnquantizedEmbeddingMethod,
+)
+
+# ``ple_layer_ids = [2]`` selects the decoder layer whose ``layer_idx + 1`` is 2
+# (``nvidia/model.py:303``), i.e. zero-based layer **1** -- not layer 2. The
+# multimodal entry class wraps the text model under ``language_model``
+# (``nvidia/model.py:1111-1114``); the PLE layer prefix is ``.ple``
+# (``:309-314``), the embedding ``.ple_embedding`` (``ple_layer.py:102``) and
+# the table ``.ngram_embedding`` (``ngram_embedding.py``).
+_PLE_PREFIX_MM = "language_model.model.layers.1.ple.ple_embedding.ngram_embedding"
+_PLE_PREFIX_TEXT = "model.layers.1.ple.ple_embedding.ngram_embedding"
+
+# ---------------------------------------------------------------------------
+# Verbatim excerpt of the shipped checkpoint's config.json.
+# ---------------------------------------------------------------------------
+SHIPPED_CONFIG = {
+ "architectures": ["Qwen4ExpForConditionalGeneration"],
+ "model_type": "qwen4_exp",
+ "image_token_id": 248056,
+ "video_token_id": 248057,
+ "vision_start_token_id": 248053,
+ "vision_end_token_id": 248054,
+ "tie_word_embeddings": False,
+ "text_config": {
+ "model_type": "qwen4_exp_text",
+ # The key the whole selection now hangs on.
+ "ple_embedding_dtype": "float8_e4m3fn",
+ "ple_layer_ids": [2],
+ },
+ "quantization_config": {
+ "quant_method": "compressed-tensors",
+ "format": "pack-quantized",
+ "quantization_status": "compressed",
+ "kv_cache_scheme": None,
+ "sparsity_config": {},
+ "transform_config": {},
+ "config_groups": {
+ "group_0": {
+ "targets": ["Linear"],
+ "weights": {
+ "num_bits": 4,
+ "type": "int",
+ "symmetric": True,
+ "strategy": "group",
+ "group_size": 128,
+ "dynamic": False,
+ "observer": "minmax",
+ "observer_kwargs": {},
+ "actorder": None,
+ "block_structure": None,
+ },
+ },
+ },
+ # The PLE is EXCLUDED from the quantization config -- which is exactly
+ # why the type-based dispatch cannot see that the table is FP8.
+ "ignore": [
+ "lm_head",
+ "re:.*embed_tokens.*",
+ "re:.*\\.ple\\..*",
+ "re:.*visual\\..*",
+ "re:.*\\.gate$",
+ "re:.*hyper_connection.*",
+ "re:.*indexer.*",
+ "re:.*shared_expert.*",
+ "re:.*\\.self_attn\\..*",
+ ],
+ },
+}
+
+
+def _quant_config() -> CompressedTensorsConfig:
+ import copy
+
+ return CompressedTensorsConfig.from_config(
+ copy.deepcopy(SHIPPED_CONFIG["quantization_config"])
+ )
+
+
+def _resolved_text_config():
+ """Walk the real chain the engine walks, not a dict lookup.
+
+ ``ModelConfig`` stores ``get_hf_text_config(self.hf_config)``
+ (``config/model.py:641``); that calls ``PretrainedConfig.get_text_config()``
+ (``transformers_utils/config.py:1142``); ``Qwen4ExpConfig.__init__`` builds
+ the nested ``Qwen4ExpTextConfig`` from the ``text_config`` dict
+ (``models/qwen4_exp/config.py:231``).
+ """
+ import copy
+
+ from vllm.models.qwen4_exp.config import Qwen4ExpConfig
+ from vllm.transformers_utils.config import get_hf_text_config
+
+ raw = copy.deepcopy(SHIPPED_CONFIG)
+ raw.pop("architectures", None)
+ raw.pop("model_type", None)
+ return get_hf_text_config(Qwen4ExpConfig(**raw))
+
+
+def _embedding_dtype_as_the_engine_reads_it(text_config) -> str | None:
+ """``ngram_embedding.py:694-699`` -> ``getattr(config, "ple_embedding_dtype")``."""
+ return getattr(text_config, "ple_embedding_dtype", None)
+
+
+# --------------------------------------------------------------------------
+# 1. the resolution chain
+# --------------------------------------------------------------------------
+
+
+def test_the_key_survives_the_real_text_config_resolution() -> None:
+ """THE CHAIN: nested dict -> Qwen4ExpConfig -> get_hf_text_config -> getattr."""
+ text_config = _resolved_text_config()
+ assert _embedding_dtype_as_the_engine_reads_it(text_config) == "float8_e4m3fn"
+ assert list(text_config.ple_layer_ids) == [2]
+
+
+def test_a_top_level_only_key_is_lost_on_the_text_path() -> None:
+ """RESIDUAL RISK, made executable.
+
+ A checkpoint copy that carried the key at the top level of a NESTED config
+ would not be seen by ``hf_text_config``, and the same checkpoint would then
+ hit the raise. This is a known caveat of the 0.30 port.
+ It says nothing about a FLAT config, which ``Qwen4ExpConfig`` converts into
+ a text config itself -- do not generalise it.
+ """
+ import copy
+
+ from vllm.models.qwen4_exp.config import Qwen4ExpConfig
+ from vllm.transformers_utils.config import get_hf_text_config
+
+ raw = copy.deepcopy(SHIPPED_CONFIG)
+ raw.pop("architectures", None)
+ raw.pop("model_type", None)
+ raw["ple_embedding_dtype"] = raw["text_config"].pop("ple_embedding_dtype")
+ text_config = get_hf_text_config(Qwen4ExpConfig(**raw))
+ assert _embedding_dtype_as_the_engine_reads_it(text_config) is None
+
+
+# --------------------------------------------------------------------------
+# 2. the selector
+# --------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("prefix", [_PLE_PREFIX_MM, _PLE_PREFIX_TEXT])
+def test_shipped_checkpoint_selects_the_fp8_ple_method(prefix: str) -> None:
+ """THE PROPERTY: compressed-tensors + the resolved key -> FP8 PLE, no raise.
+
+ Parametrised over both prefixes because the config-key branch precedes every
+ prefix-dependent check; if that ever stops being true, this fails.
+ """
+ method = Qwen4ExpPLEEmbeddingMethod.from_quant_config(
+ _quant_config(),
+ prefix,
+ _embedding_dtype_as_the_engine_reads_it(_resolved_text_config()),
+ )
+ assert isinstance(method, Qwen4ExpPLEFp8EmbeddingMethod)
+
+
+def test_without_the_config_key_the_shipped_checkpoint_raises() -> None:
+ """FAILING CONTROL: the key is load-bearing, not decorative.
+
+ Drop it and the same checkpoint hits ``ngram_embedding.py:186-190``. If this
+ stops raising, upstream has widened the selector and the offline conclusion
+ must be re-read -- it does not mean we are safer.
+ """
+ with pytest.raises(NotImplementedError):
+ Qwen4ExpPLEEmbeddingMethod.from_quant_config(
+ _quant_config(), _PLE_PREFIX_MM, None
+ )
+
+
+def test_the_key_beats_an_otherwise_unquantized_verdict() -> None:
+ """The key short-circuits before the ignore-list check.
+
+ ``re:.*\\.ple\\..*`` puts our PLE in the ignore list. On an ``Fp8Config``
+ that resolves to the *unquantized* method -- shown here as the contrast --
+ so the key must win, or an FP8 table would be read as bf16.
+ """
+ fp8_config = Fp8Config(
+ is_checkpoint_fp8_serialized=True, ignored_layers=[_PLE_PREFIX_MM]
+ )
+ assert isinstance(
+ Qwen4ExpPLEEmbeddingMethod.from_quant_config(fp8_config, _PLE_PREFIX_MM, None),
+ Qwen4ExpPLEUnquantizedEmbeddingMethod,
+ )
+ assert isinstance(
+ Qwen4ExpPLEEmbeddingMethod.from_quant_config(
+ fp8_config, _PLE_PREFIX_MM, "float8_e4m3fn"
+ ),
+ Qwen4ExpPLEFp8EmbeddingMethod,
+ )
+
+
+# --------------------------------------------------------------------------
+# 3. the scale -- a SEPARATE question from selection
+# --------------------------------------------------------------------------
+
+
+def test_fp8_ple_method_rejects_an_unloaded_global_scale() -> None:
+ """Sentinel rejection only. This does NOT prove checkpoint scale LOADING.
+
+ ``create_fp8_scale_parameter`` fills the parameter with the float32 sentinel
+ and the weight loader is expected to overwrite it; proving that the loader
+ does so needs a checkpoint shard, which belongs to a reference-host loader test,
+ not here.
+ """
+ import torch
+ from torch import nn
+
+ method = Qwen4ExpPLEFp8EmbeddingMethod()
+ unloaded = nn.Module()
+ unloaded.weight_scale = nn.Parameter(
+ torch.full((1,), torch.finfo(torch.float32).min, dtype=torch.float32),
+ requires_grad=False,
+ )
+ with pytest.raises(ValueError, match="missing its global scale"):
+ method.process_weights_after_loading(unloaded)
+
+
+def test_fp8_ple_dequantization_applies_the_scale() -> None:
+ """Dequantization arithmetic only, with a hand-set scale. Not loading."""
+ import torch
+ from torch import nn
+
+ method = Qwen4ExpPLEFp8EmbeddingMethod()
+ loaded = nn.Module()
+ loaded.weight_scale = nn.Parameter(
+ torch.tensor([0.25], dtype=torch.float32), requires_grad=False
+ )
+ method.process_weights_after_loading(loaded) # must not raise
+
+ embeddings = torch.tensor([[1.0, 2.0]], dtype=torch.float32)
+ torch.testing.assert_close(
+ method.dequantize(loaded, embeddings, torch.float32), embeddings * 0.25
+ )
diff --git a/tests/test_envs.py b/tests/test_envs.py
index 3e65518..920229d 100644
--- a/tests/test_envs.py
+++ b/tests/test_envs.py
@@ -610,7 +610,6 @@ class TestVllmMaxNSequences:
_FORK_HASHED = [
("VLLM_HOST_EMBED_TABLE", "1", True),
- ("VLLM_PLE_FP8_GLOBAL_SCALE", "1", True),
("VLLM_QSA_KV_CLIP_COUNT", "7", "7"),
("VLLM_QSA_KV_COLLECT", "/var/tmp/qsa-absmax", "/var/tmp/qsa-absmax"),
# Capture-configuration factor read in C++ (topk.cu exact_medium_enabled);
@@ -622,6 +621,10 @@ _FORK_IGNORED = [
("VLLM_QSA_KV_SCALES", "/var/tmp/scales.json", "/var/tmp/scales.json"),
# "WARN" also checks the .strip().lower() mirror of the read site.
("VLLM_E2_GUARD_MODE", " WARN ", "warn"),
+ ("VLLM_E2_ALLOW_BREAKABLE", "1", True),
+ ("VLLM_E2_EXPECTED_CUDAGRAPH_MODE", " FULL ", "FULL"),
+ # INERT: no read site on the 0.30 base, so not a cache factor.
+ ("VLLM_PLE_FP8_GLOBAL_SCALE", "1", True),
("VLLM_E2_GUARD_INTERVAL", "0.25", "0.25"),
("VLLM_E2_MEMSTATS", "2", "2"),
("VLLM_E2_MEMSTATS_DIR", "/var/tmp/memstats", "/var/tmp/memstats"),
@@ -695,7 +698,15 @@ def test_unaudited_host_side_knob_stays_listed_until_it_is_classified(name: str)
exists to prevent, so it fails here.
"""
source = Path(envs.__file__).read_text(encoding="utf-8")
- listed = name in source
+ # Scan ONLY the delimited block. Scanning the whole file can never pass
+ # once a knob is legitimately registered, because the registry entry
+ # contains the knob's own name -- the gate would block the very act it
+ # exists to sequence.
+ start = source.index("# --8<-- [start:fork-unaudited-knobs]")
+ end = source.index("# --8<-- [end:fork-unaudited-knobs]")
+ assert start < end, "the unaudited-knob block markers are inverted"
+ block = source[start:end]
+ listed = name in block
if name in environment_variables:
assert not listed, (
f"{name} is registered but still named in the envs.py TODO block: "
diff --git a/tests/v1/test_e2_guards.py b/tests/v1/test_e2_guards.py
new file mode 100644
index 0000000..a3b6839
--- /dev/null
+++ b/tests/v1/test_e2_guards.py
@@ -0,0 +1,215 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""Focused cases for the fork's startup graph-profile guard.
+
+An earlier version was rejected for accepting values upstream
+treats as off, rejecting valid ``CompilationMode.NONE`` boots, swallowing read
+errors, and missing the drafter. Each of those is a case below.
+
+These use a plain stand-in config rather than a real ``VllmConfig``: the guard
+reads exactly three attributes, and building a real config needs a checkpoint.
+"""
+
+from types import SimpleNamespace
+
+import pytest
+
+from vllm.config import CompilationMode, CUDAGraphMode
+from vllm.v1 import e2_guards
+from vllm.v1.e2_guards import (
+ ALLOW_BREAKABLE_ENV,
+ BREAKABLE_ENV,
+ EXPECTED_MODE_ENV,
+ assert_graph_profile_is_executable,
+ breakable_resolved,
+)
+
+
+def _config(
+ mode: CompilationMode = CompilationMode.NONE,
+ cudagraph_mode: CUDAGraphMode = CUDAGraphMode.FULL,
+ architectures: tuple[str, ...] = ("Qwen4ExpForCausalLM",),
+):
+ return SimpleNamespace(
+ model_config=SimpleNamespace(architectures=list(architectures)),
+ compilation_config=SimpleNamespace(mode=mode, cudagraph_mode=cudagraph_mode),
+ )
+
+
+@pytest.fixture(autouse=True)
+def _clean_env(monkeypatch):
+ for name in (BREAKABLE_ENV, ALLOW_BREAKABLE_ENV, EXPECTED_MODE_ENV):
+ monkeypatch.delenv(name, raising=False)
+ # Keep the envs accessor from dominating the raw reading in these cases.
+ monkeypatch.setattr(e2_guards, "breakable_resolved", breakable_resolved)
+
+
+# --------------------------------------------------------------- the parser
+
+
+@pytest.mark.parametrize("raw", ["0", "2", "true", "True", "FALSE", "", "01"])
+def test_only_the_exact_string_one_is_on(monkeypatch, raw: str) -> None:
+ """Match envs.py:937 exactly. A stricter parser is a FALSE REJECTION."""
+ monkeypatch.setenv(BREAKABLE_ENV, raw)
+ monkeypatch.setattr(
+ "vllm.envs.VLLM_USE_BREAKABLE_CUDAGRAPH", False, raising=False
+ )
+ assert breakable_resolved() is False
+
+
+def test_the_raw_reading_wins_when_envs_is_stale(monkeypatch) -> None:
+ """_maybe_enable_breakable_cudagraph mutates os.environ after envs caches."""
+ monkeypatch.setenv(BREAKABLE_ENV, "1")
+ monkeypatch.setattr(
+ "vllm.envs.VLLM_USE_BREAKABLE_CUDAGRAPH", False, raising=False
+ )
+ assert breakable_resolved() is True
+
+
+def test_the_envs_reading_wins_when_the_raw_value_is_absent(monkeypatch) -> None:
+ monkeypatch.delenv(BREAKABLE_ENV, raising=False)
+ monkeypatch.setattr(
+ "vllm.envs.VLLM_USE_BREAKABLE_CUDAGRAPH", True, raising=False
+ )
+ assert breakable_resolved() is True
+
+
+# ------------------------------------------------------------- the rejections
+
+
+def test_an_unpinned_launch_fails(monkeypatch) -> None:
+ """Absence is the state the upstream auto-enable feeds on."""
+ with pytest.raises(RuntimeError, match="is not set"):
+ assert_graph_profile_is_executable(_config())
+
+
+def test_breakable_on_fails(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "1")
+ with pytest.raises(RuntimeError, match="resolved ON"):
+ assert_graph_profile_is_executable(_config())
+
+
+def test_piecewise_with_vllm_compile_and_breakable_off_fails(monkeypatch) -> None:
+ """The BLOCKER: upstream accepts this at config time and dies at capture."""
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ with pytest.raises(RuntimeError, match="cudagraph_utils.py:605"):
+ assert_graph_profile_is_executable(
+ _config(
+ mode=CompilationMode.VLLM_COMPILE,
+ cudagraph_mode=CUDAGraphMode.FULL_AND_PIECEWISE,
+ )
+ )
+
+
+def test_expected_mode_mismatch_fails(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ monkeypatch.setenv(EXPECTED_MODE_ENV, "FULL_DECODE_ONLY")
+ with pytest.raises(RuntimeError, match="EXPECTED_CUDAGRAPH_MODE"):
+ assert_graph_profile_is_executable(_config(cudagraph_mode=CUDAGraphMode.FULL))
+
+
+# ------------------------------------------------------------- the permissions
+
+
+def test_compilation_none_with_full_graphs_is_permitted(monkeypatch) -> None:
+ """FALSE REJECTION control.
+
+ On v0.30.0's NVIDIA Qwen4Exp path NONE is a normal resolved state -- #55272
+ removed the compile wrappers -- so treating NONE as evidence of the
+ auto-enable, which the first version of this guard did, rejects the one
+ profile that is actually executable.
+ """
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ assert_graph_profile_is_executable(
+ _config(mode=CompilationMode.NONE, cudagraph_mode=CUDAGraphMode.FULL)
+ )
+
+
+def test_none_plus_full_decode_only_is_permitted(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ assert_graph_profile_is_executable(
+ _config(
+ mode=CompilationMode.NONE, cudagraph_mode=CUDAGraphMode.FULL_DECODE_ONLY
+ )
+ )
+
+
+def test_eager_is_permitted(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ assert_graph_profile_is_executable(
+ _config(mode=CompilationMode.NONE, cudagraph_mode=CUDAGraphMode.NONE)
+ )
+
+
+def test_expected_mode_match_passes(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ monkeypatch.setenv(EXPECTED_MODE_ENV, "FULL")
+ assert_graph_profile_is_executable(_config(cudagraph_mode=CUDAGraphMode.FULL))
+
+
+# ------------------------------------------------------------ fail-closed paths
+
+
+def test_a_missing_compilation_config_fails(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ cfg = SimpleNamespace(
+ model_config=SimpleNamespace(architectures=["Qwen4ExpForCausalLM"]),
+ compilation_config=None,
+ )
+ with pytest.raises(RuntimeError, match="no compilation_config"):
+ assert_graph_profile_is_executable(cfg)
+
+
+def test_a_missing_model_config_fails(monkeypatch) -> None:
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ cfg = SimpleNamespace(model_config=None, compilation_config=SimpleNamespace())
+ with pytest.raises(RuntimeError, match="no model_config"):
+ assert_graph_profile_is_executable(cfg)
+
+
+def test_an_unreadable_switch_fails_rather_than_reporting_off(monkeypatch) -> None:
+ """A guard that cannot read its own input must not answer False."""
+ monkeypatch.delenv(BREAKABLE_ENV, raising=False)
+
+ class _Boom:
+ def __getattr__(self, name):
+ raise RuntimeError("envs unavailable")
+
+ monkeypatch.setitem(__import__("sys").modules, "vllm.envs", _Boom())
+ with pytest.raises(RuntimeError):
+ breakable_resolved()
+
+
+# ------------------------------------------------------------------ the opt-out
+
+
+def test_the_opt_out_is_loud_and_skips_the_checks(monkeypatch, caplog) -> None:
+ monkeypatch.setenv(ALLOW_BREAKABLE_ENV, "1")
+ monkeypatch.setenv(BREAKABLE_ENV, "1")
+ with caplog.at_level("WARNING"):
+ assert_graph_profile_is_executable(
+ _config(
+ mode=CompilationMode.VLLM_COMPILE,
+ cudagraph_mode=CUDAGraphMode.FULL_AND_PIECEWISE,
+ )
+ )
+ assert ALLOW_BREAKABLE_ENV in caplog.text
+ # The opt-out log line must say it is not a promotion (production) boot.
+ assert "promotion" in caplog.text.lower()
+
+
+# -------------------------------------------------------------- the draft role
+
+
+def test_the_draft_role_is_checked_independently(monkeypatch) -> None:
+ """Qwen4ExpMTP builds Qwen4ExpMultiTokenPredictor, not CausalLM."""
+ monkeypatch.setenv(BREAKABLE_ENV, "0")
+ with pytest.raises(RuntimeError, match=r"e2-guard\[draft\]"):
+ assert_graph_profile_is_executable(
+ _config(
+ mode=CompilationMode.VLLM_COMPILE,
+ cudagraph_mode=CUDAGraphMode.PIECEWISE,
+ architectures=("Qwen4ExpMTP",),
+ ),
+ role="draft",
+ )
diff --git a/vllm/envs.py b/vllm/envs.py
index 588ca59..734a95c 100755
--- a/vllm/envs.py
+++ b/vllm/envs.py
@@ -333,11 +333,29 @@ if TYPE_CHECKING:
# hashed anyway: a spurious cache miss costs a recompile, a missed one costs
# a wrong graph.
#
- # COMPILE/CAPTURE FACTORS (hashed):
- # AOT: yes. CAPTURE: yes. PLE table is FP8-with-global-scale ->
- # Qwen4ExpPLEFp8EmbeddingMethod instead of the checkpoint's method:
- # different weight dtype and a different embedding forward.
+ # *** INERT ON THE 0.30 BASE. ***
+ # NO READ SITE, and therefore NOT HASHED -- moved out of the compile
+ # factors into ignored_factors below. Its only reader was the 21-line
+ # catch-all branch in _get_ple_embedding_quant_method, which lived in the
+ # half of models/qwen4_exp/nvidia/ple_layer.py that #54371 deleted. With no
+ # reader it cannot change an artifact, so hashing it would only invalidate
+ # caches for nothing; and on this uncompiled NVIDIA path (#55272) there may
+ # be no AOT artifact to key at all. It gives NO capture protection either.
+ # v0.30.0 selects the FP8 PLE method from the CONFIG KEY
+ # text_config.ple_embedding_dtype == "float8_e4m3fn"
+ # (ngram_embedding.py:174-175) -- see
+ # tests/models/qwen4_exp/test_ple_fp8_selector_checkpoint.py.
+ # Setting this on the 0.30 base does NOTHING, and NOTHING WARNS: validate_environ
+ # (envs.py, below) warns only about names that are NOT registered, and this
+ # comment lives in a TYPE_CHECKING block that never runs. It is kept
+ # registered so a later PLE transport change can reland its reader and
+ # reclassify it, or delete it. DO NOT assume it works.
+ # When its reader returns: AOT yes, CAPTURE yes -- the FP8-with-global-scale
+ # table selects Qwen4ExpPLEFp8EmbeddingMethod over the checkpoint's method,
+ # a different weight dtype and a different embedding forward.
VLLM_PLE_FP8_GLOBAL_SCALE: bool = False
+ #
+ # COMPILE/CAPTURE FACTORS (hashed):
# CAPTURE: yes, established -- clip counting allocates persistent per-layer
# int64 counters and its increment ops are CAPTURED into the cudagraph (see
# the graph-safety note in models/qwen4_exp/nvidia/qsa.py); unset, those ops
@@ -398,16 +416,34 @@ if TYPE_CHECKING:
# cross-change knob table). Each mirrors its read site's
# parse; if a read site changes, the entry here must be reconciled.
# (Both read sites below are now live.)
+ # *** INERT ON THE 0.30 BASE: NO READ SITE. ***
+ # Its reader is the slot-ownership assertion code (an earlier commit), which edits
+ # vllm/v1/ple_offload/connector.py -- a module that does not exist on
+ # v0.30.0. Setting this on the 0.30 base does NOTHING, and NOTHING WARNS
+ # (validate_environ only reports UNregistered names). Already an ignored
+ # factor, correctly. Kept registered so the contract is recorded; it
+ # becomes live again only together with the pull transport
+ # (the PLE transport choice).
# AOT: no. CAPTURE: no -- strictly host-side and outside capture.
# off|warn|raise (1 = warn), normalised by _e2_diagnostic_mode like the
# rest of the family. The mamba ownership check moved this gate off a plain
# boolean; reconciled here.
- # Read site returns with the deferred PLE transport.
VLLM_E2_PLE_FLAG_CHECK: str = "off"
# AOT: no. CAPTURE: no -- strictly host-side. off|warn|raise (1 = warn).
# the mamba slot-ownership check, v1/worker/mamba_utils.py:74.
VLLM_E2_MAMBA_SLOT_OWNERSHIP: str = "off"
+ # Opt-out for the fork startup guards in vllm/v1/e2_guards.py, read at
+ # Qwen4ExpForCausalLM construction. AOT: no. CAPTURE: no -- it changes
+ # nothing itself; it only permits a boot whose identity IS different
+ # (VLLM_USE_BREAKABLE_CUDAGRAPH, which upstream already registers and
+ # hashes). Ignored factor for exactly that reason.
+ VLLM_E2_ALLOW_BREAKABLE: bool = False
+ # Expected RESOLVED cudagraph mode by name, asserted by the same guard when
+ # set (e.g. "FULL", "FULL_DECODE_ONLY"). AOT: no. CAPTURE: no -- it asserts
+ # an identity, it does not choose one. Ignored factor.
+ VLLM_E2_EXPECTED_CUDAGRAPH_MODE: str = ""
#
+ # --8<-- [start:fork-unaudited-knobs]
# --- TODO: knobs that are NOT in this tree at all ----------
# The tie-determinism toggles and the BSM pin live in a separate
# patch stack, not in v2.0.1 and not in this tree:
@@ -428,8 +464,11 @@ if TYPE_CHECKING:
# identities from its actual read site, hash it unless exclusion is proven,
# and delete it from this block. tests/test_envs.py holds a test that fails
# if a name is registered while still listed here, so the classification
- # cannot be skipped silently.
+ # cannot be skipped silently. That test reads ONLY the delimited block
+ # below/above -- scanning the whole file could never pass, because a
+ # registry entry necessarily contains its own name.
# ----------------------------------------------------------------------
+ # --8<-- [end:fork-unaudited-knobs]
VLLM_LOG_MODEL_INSPECTION: bool = False
VLLM_DEBUG_MFU_METRICS: bool = False
VLLM_WEIGHT_OFFLOADING_DISABLE_PIN_MEMORY: bool = False
@@ -2209,6 +2248,10 @@ environment_variables: dict[str, Callable[[], Any]] = {
# Capture-configuration factor, read in C++; raw passthrough on purpose.
"MERLIN_TOPK_EXACT_MEDIUM": lambda: os.getenv("MERLIN_TOPK_EXACT_MEDIUM", None),
# Runtime only; all of the following are in compile_factors.ignored_factors.
+ "VLLM_E2_ALLOW_BREAKABLE": lambda: os.getenv("VLLM_E2_ALLOW_BREAKABLE", "") == "1",
+ "VLLM_E2_EXPECTED_CUDAGRAPH_MODE": lambda: os.getenv(
+ "VLLM_E2_EXPECTED_CUDAGRAPH_MODE", ""
+ ).strip(),
"VLLM_QSA_KV_SCALES": lambda: os.getenv("VLLM_QSA_KV_SCALES", "").strip(),
"VLLM_E2_GUARD_MODE": lambda: (
os.getenv("VLLM_E2_GUARD_MODE", "off").strip().lower()
@@ -2592,6 +2635,14 @@ def compile_factors() -> dict[str, object]:
"VLLM_PLE_TEST_FAULT",
"VLLM_PLE_TEST_FAULT_GATE",
"VLLM_PLE_TEST_FAULT_LOG",
+ # Fork startup guard: the opt-out permits a different identity and the
+ # expected-mode pin asserts one; neither IS one.
+ "VLLM_E2_ALLOW_BREAKABLE",
+ "VLLM_E2_EXPECTED_CUDAGRAPH_MODE",
+ # INERT on the 0.30 base: no read site, so it cannot change any artifact.
+ # Hashing it would invalidate caches for no behavioural change. Restore
+ # it to the compile factors in the same commit that relands its reader.
+ "VLLM_PLE_FP8_GLOBAL_SCALE",
# Diagnostic knobs, both strictly host-side and outside capture, so
# neither AOT nor capture identity depends on them. Hashing
# them would invalidate every compile cache the moment a diagnostic
diff --git a/vllm/models/qwen4_exp/nvidia/model.py b/vllm/models/qwen4_exp/nvidia/model.py
index 816a4e2..8c29268 100644
--- a/vllm/models/qwen4_exp/nvidia/model.py
+++ b/vllm/models/qwen4_exp/nvidia/model.py
@@ -78,6 +78,7 @@ from vllm.transformers_utils.configs.qwen4_exp import (
Qwen4ExpTextConfig,
)
from vllm.v1.attention.backends.registry import MambaAttentionBackendEnum
+from vllm.v1.e2_guards import assert_graph_profile_is_executable
from vllm.v1.kv_cache_interface import MambaSpec
from ..config import Qwen4ExpConfig
@@ -786,6 +787,13 @@ class Qwen4ExpForCausalLM(
def __init__(self, *, vllm_config: VllmConfig, prefix: str = "") -> None:
super().__init__()
+ # V0.30.0 auto-enables breakable cudagraphs
+ # for this architecture when VLLM_USE_BREAKABLE_CUDAGRAPH is unset, and
+ # VLLM_COMPILE + a PIECEWISE mode dies at capture because #55272 left no
+ # compiled submodule. Fail here rather than let a reference-host run qualify an
+ # identity nobody chose. Qwen4ExpForConditionalGeneration constructs
+ # this class; Qwen4ExpMTP does not, and guards itself.
+ assert_graph_profile_is_executable(vllm_config, role="target")
config: Qwen4ExpTextConfig = vllm_config.model_config.hf_text_config
self.vllm_config = vllm_config
self.model_config = vllm_config.model_config
diff --git a/vllm/models/qwen4_exp/nvidia/mtp.py b/vllm/models/qwen4_exp/nvidia/mtp.py
index 2df3868..468fc3a 100644
--- a/vllm/models/qwen4_exp/nvidia/mtp.py
+++ b/vllm/models/qwen4_exp/nvidia/mtp.py
@@ -49,6 +49,7 @@ from vllm.sequence import IntermediateTensors
from vllm.transformers_utils.configs.qwen4_exp import (
Qwen4ExpTextConfig,
)
+from vllm.v1.e2_guards import assert_graph_profile_is_executable
from .hyperconnection import GatedResidual, HyperConnectionConfig
from .low_latency_gemm import enable_qwen4_exp_low_latency_gemm
@@ -395,6 +396,10 @@ class Qwen4ExpMTP(nn.Module, SupportsPP, Qwen4ExpMixtureOfExperts):
}
def __init__(self, *, vllm_config: VllmConfig, prefix: str = "") -> None:
+ # The drafter is NOT reached through Qwen4ExpForCausalLM --
+ # this class builds Qwen4ExpMultiTokenPredictor directly, from a config
+ # rebuilt at mtp.py:159 -- so its graph profile is checked here.
+ assert_graph_profile_is_executable(vllm_config, role="draft")
config: Qwen4ExpTextConfig = vllm_config.model_config.hf_text_config
self.vllm_config = vllm_config
cache_config = vllm_config.cache_config
diff --git a/vllm/v1/e2_guards.py b/vllm/v1/e2_guards.py
new file mode 100644
index 0000000..9971ccd
--- /dev/null
+++ b/vllm/v1/e2_guards.py
@@ -0,0 +1,218 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""Fork startup guards that fail closed on a graph profile we never qualified.
+
+These run at model construction, on every rank, for the target model and for
+the MTP drafter, before profiling or capture. They exist because a *documented*
+launch flag is not a mechanism: the first reference-host run of a rebase will otherwise
+qualify a compile/capture identity nobody chose
+(see below).
+
+What this module does NOT do: choose a graph profile. That is the maintainer's
+call and it is open (the graph-profile choice). What it does is refuse the
+two states that are silently wrong on vLLM v0.30.0 --
+
+ * ``VLLM_USE_BREAKABLE_CUDAGRAPH`` left unset, which lets
+ ``VllmConfig._maybe_enable_breakable_cudagraph`` turn it on for this fork's
+ architectures and force ``CompilationMode.NONE``; and
+ * a PIECEWISE-bearing cudagraph mode combined with ``VLLM_COMPILE`` and
+ breakable-off, which upstream accepts at config time and then rejects at
+ capture, because #55272 removed every ``@support_torch_compile`` wrapper
+ from the NVIDIA Qwen4Exp model and MTP.
+
+-- and to make the resolved profile visible and assertable.
+
+Timing limit, stated honestly: this runs at model construction, i.e. AFTER
+``VllmConfig.__post_init__`` has already called
+``_maybe_enable_breakable_cudagraph`` (``config/vllm.py:1561``) and
+``_normalize_piecewise_cudagraph_mode`` (``:1673``, ``:1844``). It is early
+enough to stop profiling and capture; it cannot un-mutate ``os.environ`` or
+recover the originally requested cudagraph mode. Requiring the pin to be
+*explicitly present* is the part of "validate before auto-enable" that is
+checkable from here: absence is exactly the state the auto-enable feeds on.
+"""
+
+import os
+
+from vllm.logger import init_logger
+
+logger = init_logger(__name__)
+
+BREAKABLE_ENV = "VLLM_USE_BREAKABLE_CUDAGRAPH"
+#: Opt-out for every guard in this module. Recorded in the launch identity and
+#: PROHIBITED in production profiles; a production launch must not set it.
+ALLOW_BREAKABLE_ENV = "VLLM_E2_ALLOW_BREAKABLE"
+#: Optional expected resolved cudagraph mode, by name (e.g. "FULL",
+#: "FULL_DECODE_ONLY"). When set, a mismatch is an error. This is how a launch
+#: profile pins the graph identity once the maintainer has chosen one.
+EXPECTED_MODE_ENV = "VLLM_E2_EXPECTED_CUDAGRAPH_MODE"
+
+#: The architectures vLLM v0.30.0 auto-enables breakable cudagraphs for, out of
+#: ``vllm/config/vllm.py:DEFAULT_BREAKABLE_CUDAGRAPH_ARCHITECTURES``, that are
+#: ours. Recorded so the guard's message can name the upstream mechanism.
+OUR_AUTO_BREAKABLE_ARCHITECTURES = frozenset(
+ {
+ "Qwen4ExpForCausalLM",
+ "Qwen4ExpForConditionalGeneration",
+ "Qwen4ExpMTP",
+ }
+)
+
+
+def _upstream_truth(raw: str | None) -> bool:
+ """Upstream's exact semantics for the breakable switch.
+
+ ``envs.py:937`` is ``os.environ.get(..., "0") == "1"``. Nothing else is on:
+ ``"2"``, ``"true"``, ``"FALSE"`` and ``""`` are all off. Using one parser
+ that matches it is the point -- a stricter local parser would reject boots
+ upstream treats as off, which is a false rejection, not extra safety.
+ """
+ return raw == "1"
+
+
+def breakable_resolved() -> bool:
+ """Whether breakable cudagraphs are on, as the engine will see it.
+
+ Two readings of ONE source, not three independent sources:
+ ``vllm.compilation.breakable_cudagraph.is_breakable_cudagraph_enabled()``
+ is literally ``bool(envs.VLLM_USE_BREAKABLE_CUDAGRAPH)``
+ (``breakable_cudagraph.py:53``), so it adds nothing over the envs read.
+ The envs read is kept beside the raw one because
+ ``_maybe_enable_breakable_cudagraph`` mutates ``os.environ`` at config time
+ while the envs accessor is cached, so the two can legitimately disagree;
+ either saying "on" means on.
+
+ No exception is swallowed. A guard that cannot read its own input must fail
+ the boot, not report False.
+ """
+ if _upstream_truth(os.environ.get(BREAKABLE_ENV)):
+ return True
+ import vllm.envs as envs
+
+ return bool(envs.VLLM_USE_BREAKABLE_CUDAGRAPH)
+
+
+def _profile(vllm_config) -> tuple[list[str], object, object]:
+ """Resolved (architectures, compilation mode, cudagraph mode). Fails closed."""
+ model_config = getattr(vllm_config, "model_config", None)
+ if model_config is None:
+ raise RuntimeError("e2-guard: vllm_config has no model_config to check")
+ compilation_config = getattr(vllm_config, "compilation_config", None)
+ if compilation_config is None:
+ raise RuntimeError("e2-guard: vllm_config has no compilation_config to check")
+ architectures = list(getattr(model_config, "architectures", None) or [])
+ return (
+ architectures,
+ compilation_config.mode,
+ compilation_config.cudagraph_mode,
+ )
+
+
+def assert_graph_profile_is_executable(vllm_config, *, role: str = "target") -> None:
+ """Refuse the two silently-wrong startup states on v0.30.0.
+
+ ``role`` is ``"target"`` or ``"draft"``; both are checked, because
+ ``Qwen4ExpMTP`` builds ``Qwen4ExpMultiTokenPredictor`` rather than
+ ``Qwen4ExpForCausalLM`` (``mtp.py:397``, ``:411``) from a config rebuilt at
+ ``mtp.py:159``, so the drafter's profile can differ from the target's.
+
+ Intentional eager and intentional ``CompilationMode.NONE`` are PERMITTED.
+ On v0.30.0's NVIDIA Qwen4Exp path ``NONE`` is a normal resolved state, not
+ evidence of the auto-enable: #55272 removed the compile wrappers, so
+ ``_normalize_piecewise_cudagraph_mode`` legitimately lands there.
+ """
+ from vllm.config import CompilationMode
+ architectures, mode, cudagraph_mode = _profile(vllm_config)
+
+ if os.environ.get(ALLOW_BREAKABLE_ENV, "") == "1":
+ logger.warning(
+ "e2-guard[%s]: %s=1 -- guards disabled by request. architectures=%s "
+ "breakable=%s compilation_mode=%s cudagraph_mode=%s. This boot is "
+ "NOT a promotion-grade boot; a production launch must not set this flag.",
+ role,
+ ALLOW_BREAKABLE_ENV,
+ architectures,
+ os.environ.get(BREAKABLE_ENV),
+ mode,
+ cudagraph_mode,
+ )
+ return
+
+ # 1. The pin must be explicit. Absence is the state _maybe_enable_breakable_
+ # cudagraph feeds on (config/vllm.py:758: "not in os.environ").
+ if BREAKABLE_ENV not in os.environ:
+ raise RuntimeError(
+ f"e2-guard[{role}]: {BREAKABLE_ENV} is not set. vLLM v0.30.0 lists "
+ f"{sorted(OUR_AUTO_BREAKABLE_ARCHITECTURES)} in "
+ "DEFAULT_BREAKABLE_CUDAGRAPH_ARCHITECTURES and turns the switch on "
+ "by itself when it is unset (vllm/config/vllm.py:756-774), forcing "
+ "CompilationMode.NONE with it. Pin it in the launcher: "
+ f"export {BREAKABLE_ENV}=0 (or =1 deliberately), or set "
+ f"{ALLOW_BREAKABLE_ENV}=1 to take an unpinned boot on purpose."
+ )
+
+ breakable = breakable_resolved()
+
+ # 2. Breakable on is an identity this fork has never qualified.
+ if breakable:
+ raise RuntimeError(
+ f"e2-guard[{role}]: {BREAKABLE_ENV} resolved ON for "
+ f"{architectures or '<unknown architecture>'} "
+ f"(compilation_mode={mode}, cudagraph_mode={cudagraph_mode}). That "
+ "is not the identity the v2.0.1 results were measured on. Export "
+ f"{BREAKABLE_ENV}=0, or set {ALLOW_BREAKABLE_ENV}=1 to take it "
+ "deliberately."
+ )
+
+ # 3. PIECEWISE with breakable off needs a torch-compiled submodule, and
+ # #55272 removed every @support_torch_compile wrapper from
+ # vllm/models/qwen4_exp/nvidia/*. Upstream only rewrites the mode when
+ # compilation mode is NOT VLLM_COMPILE
+ # (config/vllm.py:1010-1030), so VLLM_COMPILE + PIECEWISE + breakable-off
+ # survives config time and then dies at
+ # gpu/cudagraph_utils.py:605 in the middle of capture. Fail here instead,
+ # with the candidates named.
+ if (
+ cudagraph_mode.requires_piecewise_compilation()
+ and mode is CompilationMode.VLLM_COMPILE
+ ):
+ raise RuntimeError(
+ f"e2-guard[{role}]: cudagraph_mode={cudagraph_mode} needs piecewise "
+ "capture, compilation mode is VLLM_COMPILE and breakable cudagraphs "
+ "are off -- but vLLM PR #55272 removed every @support_torch_compile "
+ "wrapper from vllm/models/qwen4_exp/nvidia/, so "
+ "has_compiled_submodule() is False and capture will raise at "
+ "vllm/v1/worker/gpu/cudagraph_utils.py:605. Executable candidates: "
+ "(a) breakable off + -O0/CompilationMode.NONE, which normalises "
+ "FULL_AND_PIECEWISE to FULL_DECODE_ONLY (changed prefill "
+ "behaviour -- must be qualified); (b) breakable off + an explicit "
+ "cudagraph_mode=FULL or NONE; (c) breakable PIECEWISE, i.e. "
+ f"{BREAKABLE_ENV}=1, which is a different identity. See "
+ "the graph-profile choice."
+ )
+
+ # 4. Optional exact pin of the resolved mode, for a launch profile.
+ expected = os.environ.get(EXPECTED_MODE_ENV, "").strip()
+ if expected:
+ actual = getattr(cudagraph_mode, "name", str(cudagraph_mode))
+ if actual != expected:
+ raise RuntimeError(
+ f"e2-guard[{role}]: resolved cudagraph_mode={actual} but "
+ f"{EXPECTED_MODE_ENV}={expected}. The launch profile and the "
+ "engine disagree about the graph identity."
+ )
+
+ logger.info(
+ "e2-guard[%s]: architectures=%s breakable=OFF compilation_mode=%s "
+ "cudagraph_mode=%s expected=%s. Recorded, not certified -- this guard "
+ "checks startup states, not that the profile was qualified.",
+ role,
+ architectures,
+ mode,
+ cudagraph_mode,
+ expected or "<unset>",
+ )
+
+
+#: Back-compatible name for the earlier call sites.
+assert_breakable_cudagraph_pinned = assert_graph_profile_is_executable
diff --git a/vllm/v1/ple_offload/test_fault.py b/vllm/v1/ple_offload/test_fault.py
deleted file mode 100644
index 9ae74f7..0000000
--- a/vllm/v1/ple_offload/test_fault.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-"""Compatibility exports for the top-level test-only fault singleton."""
-
-from vllm_ple_test_fault import (
- _FAULT as _FAULT,
-)
-from vllm_ple_test_fault import ( # noqa: F401
- FaultSpec as FaultSpec,
-)
-from vllm_ple_test_fault import (
- _parse_fault_spec as _parse_fault_spec,
-)
diff --git a/vllm/v1/worker/gpu_worker.py b/vllm/v1/worker/gpu_worker.py
index 949f299..09f91f9 100644
--- a/vllm/v1/worker/gpu_worker.py
+++ b/vllm/v1/worker/gpu_worker.py
@@ -231,118 +231,6 @@ class Worker(WorkerBase):
# Resolved lazily on first sleep/wake; persists worker-process state.
self._sleep_mode_backend: SleepModeBackend | None = None
- def _has_ple_layers(self) -> bool:
- """Return whether this model configuration constructs PLE layers."""
- if not envs.VLLM_PLE_CPU_OFFLOAD:
- return False
- text_config = self.model_config.hf_text_config
- ple_layer_ids = getattr(text_config, "ple_layer_ids", None)
- if not ple_layer_ids:
- return False
- # PP (vllm#54709, carried from the earlier overlay): only the pipeline rank
- # that owns a PLE layer takes part in the offload (rank 0 with the
- # default partition). Other ranks build PPMissingLayer there and must
- # skip the connector entirely.
- pp_size = self.parallel_config.pipeline_parallel_size
- if pp_size > 1:
- from vllm.distributed.utils import get_pp_indices
-
- tp_size = self.parallel_config.tensor_parallel_size
- pp_rank = (self.rank // tp_size) % pp_size
- start, end = get_pp_indices(
- int(text_config.num_hidden_layers), pp_rank, pp_size
- )
- return any(start <= int(i) - 1 < end for i in ple_layer_ids)
- return True
-
- def _validate_ple_offload_config(self) -> None:
- """Reject unsupported PLE offload execution modes."""
- parallel_config = self.parallel_config
- unsupported = []
- if not self.use_v2_model_runner:
- unsupported.append("model runner V1")
- if not current_platform.is_cuda():
- unsupported.append(f"device={current_platform.device_type}")
- if parallel_config.nnodes != 1:
- unsupported.append(f"nnodes={parallel_config.nnodes}")
- if parallel_config.data_parallel_backend != "mp":
- unsupported.append(f"DP backend={parallel_config.data_parallel_backend}")
- if (
- parallel_config.data_parallel_size_local
- != parallel_config.data_parallel_size
- ):
- unsupported.append(
- "non-local DP "
- f"({parallel_config.data_parallel_size_local}/"
- f"{parallel_config.data_parallel_size} local ranks)"
- )
- # PP allowed (vllm#54709): PLE layers must live on pipeline rank 0
- # (enforced placement-based in models/config.py); num_workers stays
- # dp_size * tp_size = the ranks of the owning stage.
- if parallel_config.prefill_context_parallel_size != 1:
- unsupported.append(f"PCP={parallel_config.prefill_context_parallel_size}")
- if parallel_config.decode_context_parallel_size != 1:
- unsupported.append(f"DCP={parallel_config.decode_context_parallel_size}")
- if parallel_config.use_ubatching:
- unsupported.append("ubatching/DBO")
- if self.model_config.architecture not in {
- "Qwen4ExpForCausalLM",
- "Qwen4ExpForConditionalGeneration",
- }:
- unsupported.append("architecture")
- if self.vllm_config.weight_transfer_config is not None:
- unsupported.append("weight transfer")
-
- if unsupported:
- raise ValueError(
- "VLLM_PLE_CPU_OFFLOAD does not support the requested "
- "configuration. Unsupported settings: "
- f"{', '.join(unsupported)}"
- )
-
- def spawn_ple_offload(self) -> None:
- """Spawn one node-local PLE CPU worker from DP0/TP0."""
- if (
- not self._ple_offload_enabled
- or self.rank != 0
- or self.parallel_config.data_parallel_rank != 0
- ):
- return
-
- from vllm.v1.ple_offload.worker import PleOffloadWorker
-
- ipc_addr = self.parallel_config._ple_offload_ipc_path
- if not ipc_addr:
- raise RuntimeError("PLE offload IPC address was not initialized")
- dp_size = self.parallel_config.data_parallel_size
- tp_size = self.parallel_config.tensor_parallel_size
- num_workers = dp_size * tp_size
- logger.info(
- "PleOffload: spawning worker "
- "(rank=%d, local_rank=%d, dp_size=%d, tp_size=%d, "
- "num_workers=%d, ipc_addr=%s).",
- self.rank,
- self.local_rank,
- dp_size,
- tp_size,
- num_workers,
- ipc_addr,
- )
- self._ple_offload_worker_handle = PleOffloadWorker.make_process(
- self.vllm_config,
- num_workers,
- ipc_addr,
- )
-
- def wait_ple_offload_ready(self) -> None:
- """Wait until weights and every TP registration are ready."""
- if self._ple_offload_worker_handle is None:
- return
-
- from vllm.v1.ple_offload.worker import PleOffloadWorker
-
- PleOffloadWorker.wait_for_ready(self._ple_offload_worker_handle)
-
@property
def sleep_mode_backend(self) -> "SleepModeBackend":
if self._sleep_mode_backend is None:
--
2.43.0
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