Core abstractions for PFN Studio — Prior, Model, Eval, Run, and the block registry.
Project description
pfnstudio-core
The Python contract for PFN Studio FM projects.
from pfnstudio_core import Prior, Model, Eval, Run, register_block, register_prior
@register_prior("my_prior")
class MyPrior(Prior):
def sample(self, seed: int): ...
@register_block("my_attention")
class MyAttention:
def __init__(self, d_model: int, n_heads: int): ...
The CLI discovers anything registered via these decorators and validates models/*.yaml references against the registry.
Layout
prior.py—PriorABC and built-in prior loadermodel.py—Modelconfig + block-compositioneval.py—Evalconfig + result schemarun.py—Runmanifest + executor protocolregistry.py—@register_prior,@register_block,@register_evaland discoveryloaders.py— load YAML artifacts into typed objectsblocks/— built-in architecture blocks (transformer encoder, causal attention, heads)training/— minimal in-process training loop for thelocalcompute adapter
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