c0ec81836f
Signed-off-by: zjy0516 <riverclouds.zhu@qq.com> Signed-off-by: Jiangyun Zhu <riverclouds.zhu@qq.com> Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
56 lines
1.9 KiB
Python
56 lines
1.9 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 time
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from vllm.config import CompilationConfig, CompilationLevel, VllmConfig
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from vllm.logger import init_logger
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logger = init_logger(__name__)
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context_manager = None
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torch_compile_start_time: float = 0.0
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def start_monitoring_torch_compile(vllm_config: VllmConfig):
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global torch_compile_start_time
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torch_compile_start_time = time.time()
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compilation_config: CompilationConfig = vllm_config.compilation_config
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path = vllm_config.compile_debug_dump_path()
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if compilation_config.level == CompilationLevel.PIECEWISE and path:
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import depyf
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path.mkdir(parents=True, exist_ok=True)
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global context_manager
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context_manager = depyf.prepare_debug(path.as_posix())
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context_manager.__enter__()
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def end_monitoring_torch_compile(vllm_config: VllmConfig):
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compilation_config: CompilationConfig = vllm_config.compilation_config
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if compilation_config.level == CompilationLevel.PIECEWISE:
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logger.info("torch.compile takes %.2f s in total",
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compilation_config.compilation_time)
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global context_manager
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if context_manager is not None:
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context_manager.__exit__(None, None, None)
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context_manager = None
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cudagraph_capturing_enabled: bool = True
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def validate_cudagraph_capturing_enabled():
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# used to monitor whether a cudagraph capturing is legal at runtime.
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# should be called before any cudagraph capturing.
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# if an illegal cudagraph capturing happens, raise an error.
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global cudagraph_capturing_enabled
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if not cudagraph_capturing_enabled:
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raise RuntimeError("CUDA graph capturing detected at an inappropriate "
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"time. This operation is currently disabled.")
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def set_cudagraph_capturing_enabled(enabled: bool):
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global cudagraph_capturing_enabled
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cudagraph_capturing_enabled = enabled
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