Source code for mindspore.common.jit_config

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"""JitConfig for compile."""


[docs]class JitConfig: """ Jit config for compile. Note: This is an experimental function that is subject to change or deletion. Args: jit_level (str): Option for argument `level` for Optimization of lift graph. Supports ["O0", "O1", "O2"]. Default: "O1". - "O0": Basic optimization. - "O1": Manual optimization. - "O2": Manual optimization and graph computation fusion. task_sink (bool): Determines whether to pass the data through dataset channel. Default: True. **kwargs (dict): A dictionary of keyword arguments that the class needs. """ def __init__(self, jit_level="O1", task_sink=True, **kwargs): if jit_level not in ["O0", "O1", "O2"]: raise ValueError("For 'jit_level' must be one of ['O0', 'O1', 'O2'].") if not isinstance(task_sink, bool): raise TypeError("For 'task_sink' must be bool.") self.jit_config_dict = dict() self.jit_config_dict["jit_level"] = jit_level self.jit_config_dict["task_sink"] = str(int(task_sink)) for key, value in kwargs.items(): self.jit_config_dict[key] = value