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https://git.datalinker.icu/vllm-project/vllm.git
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Signed-off-by: Luka Govedič <lgovedic@redhat.com> Signed-off-by: luka <lgovedic@redhat.com> Signed-off-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
126 lines
4.4 KiB
Python
126 lines
4.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import functools
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from torch import fx as fx
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from vllm import envs
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from vllm.config import VllmConfig
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from vllm.logger import init_logger
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from vllm.platforms import current_platform
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from vllm.utils import set_env_var
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from .post_cleanup import PostCleanupPass
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from .vllm_inductor_pass import VllmInductorPass
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if current_platform.is_cuda_alike():
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from .activation_quant_fusion import ActivationQuantFusionPass
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from .fusion import RMSNormQuantFusionPass
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from .fusion_attn import AttnFusionPass
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if current_platform.is_cuda():
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from .collective_fusion import AllReduceFusionPass, AsyncTPPass
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from .fix_functionalization import FixFunctionalizationPass
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from .inductor_pass import CustomGraphPass, InductorPass, get_pass_context
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from .noop_elimination import NoOpEliminationPass
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from .sequence_parallelism import SequenceParallelismPass
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logger = init_logger(__name__)
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def with_pattern_match_debug(fn):
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"""
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Function decorator that turns on inductor pattern match debug
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for the duration of the call.
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Used to avoid logging builtin Inductor pattern matching.
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"""
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@functools.wraps(fn)
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def wrapper(*args, **kwargs):
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if (debug_val := envs.VLLM_PATTERN_MATCH_DEBUG) is not None:
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# optionally check rank here
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with set_env_var("TORCHINDUCTOR_PATTERN_MATCH_DEBUG", debug_val):
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return fn(*args, **kwargs)
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return fn(*args, **kwargs)
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return wrapper
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class PostGradPassManager(CustomGraphPass):
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"""
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The pass manager for post-grad passes.
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It handles configuration, adding custom passes, and running passes.
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It supports uuid for the Inductor code cache. That includes torch<2.6
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support using pickling (in .inductor_pass.CustomGraphPass).
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The order of the post-grad post-passes is:
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1. passes (constructor parameter)
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2. default passes (NoopEliminationPass, FusionPass)
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3. config["post_grad_custom_post_pass"] (if it exists)
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4. fix_functionalization
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This way, all passes operate on a functionalized graph.
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"""
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def __init__(self):
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self.passes: list[InductorPass] = []
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@with_pattern_match_debug
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def __call__(self, graph: fx.Graph):
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VllmInductorPass.dump_prefix = 0 # reset dump index
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shape = get_pass_context().runtime_shape
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for pass_ in self.passes:
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if pass_.is_applicable_for_shape(shape):
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pass_(graph)
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VllmInductorPass.dump_prefix += 1
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# post-cleanup goes before fix_functionalization
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# because it requires a functional graph
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self.post_cleanup(graph)
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VllmInductorPass.dump_prefix += 1
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# always run fix_functionalization last
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self.fix_functionalization(graph)
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VllmInductorPass.dump_prefix = None # Cleanup index
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def configure(self, config: VllmConfig):
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self.pass_config = config.compilation_config.pass_config
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if self.pass_config.enable_noop:
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self.passes += [NoOpEliminationPass(config)]
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if self.pass_config.enable_sequence_parallelism:
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self.passes += [SequenceParallelismPass(config)]
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if self.pass_config.enable_async_tp:
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self.passes += [AsyncTPPass(config)]
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if self.pass_config.enable_fi_allreduce_fusion:
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self.passes += [AllReduceFusionPass(config)]
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if self.pass_config.enable_fusion:
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self.passes += [RMSNormQuantFusionPass(config)]
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self.passes += [ActivationQuantFusionPass(config)]
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if self.pass_config.enable_attn_fusion:
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self.passes += [AttnFusionPass(config)]
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# needs a functional graph
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self.post_cleanup = PostCleanupPass(config)
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self.fix_functionalization = FixFunctionalizationPass(config)
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def add(self, pass_: InductorPass):
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assert isinstance(pass_, InductorPass)
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self.passes.append(pass_)
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def uuid(self):
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"""
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The PostGradPassManager is set as a custom pass in the Inductor and
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affects compilation caching. Its uuid depends on the UUIDs of all
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dependent passes and the pass config. See InductorPass for more info.
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"""
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state = {"pass_config": self.pass_config.uuid(), "passes": []}
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for pass_ in self.passes:
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state["passes"].append(pass_.uuid())
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state["passes"].append(self.fix_functionalization.uuid())
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return InductorPass.hash_dict(state)
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