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[CI] Revert PRs 34818 and 33600 (#34979)

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This commit is contained in:
Lucas Wilkinson
2026-02-20 16:25:50 -05:00
committed by GitHub
parent f24b2de3d3
commit aaefc58ee0
16 changed files with 249 additions and 301 deletions
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11
vllm/config/cache.py
View File

@@ -19,6 +19,7 @@ else:
logger = init_logger(__name__)
BlockSize = Literal[1, 8, 16, 32, 64, 128, 256]
CacheDType = Literal[
"auto",
"bfloat16",
@@ -38,11 +39,13 @@ KVOffloadingBackend = Literal["native", "lmcache"]
class CacheConfig:
"""Configuration for the KV cache."""
block_size: SkipValidation[int] = None # type: ignore[assignment]
"""Size of a contiguous cache block in number of tokens.
block_size: SkipValidation[BlockSize] = None # type: ignore[assignment]
"""Size of a contiguous cache block in number of tokens. On CUDA devices,
only block sizes up to 32 are supported.
This is None until the platform sets it. Always an int by the time
the engine starts."""
This config has no static default. If left unspecified by the user, it will
be set in `Platform.check_and_update_config()` based on the current
platform."""
gpu_memory_utilization: float = Field(default=0.9, gt=0, le=1)
"""The fraction of GPU memory to be used for the model executor, which can
range from 0 to 1. For example, a value of 0.5 would imply 50% GPU memory

97
vllm/config/vllm.py
View File

@@ -915,6 +915,32 @@ class VllmConfig:
)
current_platform.check_and_update_config(self)
# If DCP, ensure the block size is right.
if self.parallel_config.decode_context_parallel_size > 1:
if self.parallel_config.dcp_kv_cache_interleave_size > 1 and (
self.parallel_config.cp_kv_cache_interleave_size
!= self.parallel_config.dcp_kv_cache_interleave_size
):
self.parallel_config.cp_kv_cache_interleave_size = (
self.parallel_config.dcp_kv_cache_interleave_size
)
logger.warning_once(
"cp_kv_cache_interleave_size is overridden by dcp_kv_cache"
"_interleave_size. And dcp-kv-cache-interleave-size will be "
"deprecated when PCP is fully supported."
)
assert (
self.parallel_config.cp_kv_cache_interleave_size
<= self.cache_config.block_size
and self.cache_config.block_size
% self.parallel_config.cp_kv_cache_interleave_size
== 0
), (
f"Block_size({self.cache_config.block_size}) should be greater "
"than or equal to and divisible by cp_kv_cache_interleave_size "
f"({self.parallel_config.cp_kv_cache_interleave_size})."
)
# Do this after all the updates to compilation_config.mode
effective_dp_size = (
self.parallel_config.data_parallel_size
@@ -1082,6 +1108,26 @@ class VllmConfig:
# Default to enable HMA if not explicitly disabled by user or logic above.
self.scheduler_config.disable_hybrid_kv_cache_manager = False
if self.cache_config.mamba_cache_mode == "align":
assert (
self.cache_config.block_size
<= self.scheduler_config.max_num_batched_tokens
), (
"In Mamba cache align mode, block_size "
f"({self.cache_config.block_size}) must be <= "
"max_num_batched_tokens "
f"({self.scheduler_config.max_num_batched_tokens})."
)
if self.scheduler_config.long_prefill_token_threshold > 0:
assert (
self.scheduler_config.long_prefill_token_threshold
>= self.cache_config.block_size
)
assert not self.scheduler_config.disable_chunked_mm_input, (
"Chunked MM input is required because we need the flexibility to "
"schedule a multiple of block_size tokens even if they are in the "
"middle of a mm input"
)
if self.compilation_config.debug_dump_path:
self.compilation_config.debug_dump_path = (
self.compilation_config.debug_dump_path.absolute().expanduser()
@@ -1442,57 +1488,6 @@ class VllmConfig:
f"compilation_config={self.compilation_config!r}"
)
def validate_block_size(self) -> None:
"""Validate block_size against DCP and mamba constraints.
Called after Platform.update_block_size_for_backend() has
finalised block_size, so that the checks see the real value
rather than the initial None sentinel.
"""
block_size = self.cache_config.block_size
assert block_size is not None, (
"validate_block_size called before block_size was set"
)
# DCP interleave-size compatibility
if self.parallel_config.decode_context_parallel_size > 1:
if self.parallel_config.dcp_kv_cache_interleave_size > 1 and (
self.parallel_config.cp_kv_cache_interleave_size
!= self.parallel_config.dcp_kv_cache_interleave_size
):
self.parallel_config.cp_kv_cache_interleave_size = (
self.parallel_config.dcp_kv_cache_interleave_size
)
logger.warning_once(
"cp_kv_cache_interleave_size is overridden by dcp_kv_cache"
"_interleave_size. And dcp-kv-cache-interleave-size will be "
"deprecated when PCP is fully supported."
)
assert (
self.parallel_config.cp_kv_cache_interleave_size <= block_size
and block_size % self.parallel_config.cp_kv_cache_interleave_size == 0
), (
f"Block_size({block_size}) should be greater "
"than or equal to and divisible by cp_kv_cache_interleave_size "
f"({self.parallel_config.cp_kv_cache_interleave_size})."
)
# Mamba cache align-mode constraints
if self.cache_config.mamba_cache_mode == "align":
assert block_size <= self.scheduler_config.max_num_batched_tokens, (
"In Mamba cache align mode, block_size "
f"({block_size}) must be <= "
"max_num_batched_tokens "
f"({self.scheduler_config.max_num_batched_tokens})."
)
if self.scheduler_config.long_prefill_token_threshold > 0:
assert self.scheduler_config.long_prefill_token_threshold >= block_size
assert not self.scheduler_config.disable_chunked_mm_input, (
"Chunked MM input is required because we need the flexibility "
"to schedule a multiple of block_size tokens even if they are "
"in the middle of a mm input"
)
@model_validator(mode="after")
def validate_mamba_block_size(self) -> "VllmConfig":
if self.model_config is None: