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PythonTorchWorkloadConfig

Struct PythonTorchWorkloadConfig 

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pub struct PythonTorchWorkloadConfig {
    pub runtime: PythonTorchRuntimeConfig,
    pub dataset: PythonTorchDatasetConfig,
    pub supported_workload: SupportedWorkload,
    pub model_schema_hash: ContentId,
    pub artifact_record_format: String,
    pub artifact_precision: Precision,
    pub artifact_chunking: ChunkingScheme,
    pub patch_support: PatchSupport,
}
Expand description

Static workload identity and artifact settings for one Python/Torch runtime.

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§runtime: PythonTorchRuntimeConfig

Python worker launch config.

§dataset: PythonTorchDatasetConfig

Dataset/shard config.

§supported_workload: SupportedWorkload

Workload identity published into the release manifest.

§model_schema_hash: ContentId

Stable model schema hash.

§artifact_record_format: String

Artifact record format tag.

§artifact_precision: Precision

Descriptor precision published with model artifacts.

§artifact_chunking: ChunkingScheme

Chunking policy for stored model artifacts.

§patch_support: PatchSupport

Patch support advertised by the workload.

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impl PythonTorchWorkloadConfig

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pub fn new( runtime: PythonTorchRuntimeConfig, dataset: PythonTorchDatasetConfig, supported_workload: SupportedWorkload, model_schema_hash: ContentId, ) -> Result<Self>

Creates a new config with a safetensors-backed artifact default.

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impl Clone for PythonTorchWorkloadConfig

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fn clone(&self) -> PythonTorchWorkloadConfig

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PythonTorchWorkloadConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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