pllmpllm.kernels Python API
Public objects, practical usage, and research context for pllm.kernels.
Kernel components select bounded matrix implementations while preserving the compiler's numeric and placement contracts. Presence documents API availability, not complete model, security, or deployment coverage; check implementation status before relying on a path.
Research context
This API is project infrastructure rather than an implementation of one specific paper. Relevant method pages link their primary sources separately.
Python SDK example
The example performs a bounded offline task and checks an observable result. It does not download a checkpoint or contact a provider.
import pllm.kernels as kernels
backend = kernels.Cpu(threads=2)
assert backend.get_params() == {"threads": 2}API: pllm.kernels
Objects and signatures
Cpu
Selects component pllm/cpu during compilation; it provides cpu for roles client, preparation, inference.
- Canonical object:
pllm.kernels.Cpu - Kind:
class - Signature/type:
__init__(self, *, threads: int=1) -> None - Public exports:
pllm.Cpu,pllm.kernels.Cpu - Public members:
descriptor: ComponentDescriptor;__init__(self, *, threads: int=1) -> None;classmethod describe(cls) -> ComponentDescriptor
KernelBackend
Immutable KernelBackend record carrying component, params for the workflow where kernel components select bounded matrix implementations while preserving the compiler's numeric and placement contracts.
- Canonical object:
pllm.kernels.KernelBackend - Kind:
class - Signature/type:
constructor not exposed - Public exports:
pllm.kernels.KernelBackend