For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).
Python class
ProfilingConfig
ProfilingConfig
class max.pipelines.ProfilingConfig(*, config_file=None, section_name=None, gpu_profiling='off')
Bases: ConfigFileModel
Configuration for GPU profiling of pipeline models.
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Parameters:
gpu_profiling
gpu_profiling: GPUProfilingMode
Whether to enable GPU profiling of the model.
model_config
model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'strict': False}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_post_init()
model_post_init(context, /)
This function is meant to behave like a BaseModel method to initialise private attributes.
It takes context as an argument since that’s what pydantic-core passes when calling it.
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Parameters:
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- self (BaseModel) – The BaseModel instance.
- context (Any) – The context.
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Return type:
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None
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