64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
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# 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, CompilationMode, 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) -> None:
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global torch_compile_start_time
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torch_compile_start_time = time.perf_counter()
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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.mode == CompilationMode.VLLM_COMPILE and path:
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import depyf
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path.mkdir(parents=True, exist_ok=True)
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logger.debug("Dumping depyf output to %s", path)
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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) -> None:
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compilation_config: CompilationConfig = vllm_config.compilation_config
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total_compile_time: float = time.perf_counter() - torch_compile_start_time
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if compilation_config.mode == CompilationMode.VLLM_COMPILE:
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logger.info_once(
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"torch.compile takes %.2f s in total",
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total_compile_time,
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scope="local",
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)
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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() -> None:
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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(
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"CUDA graph capturing detected at an inappropriate "
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"time. This operation is currently disabled."
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)
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def set_cudagraph_capturing_enabled(enabled: bool) -> None:
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global cudagraph_capturing_enabled
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cudagraph_capturing_enabled = enabled
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