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Library tensorplay.library.custom_op tensorplay.library.define tensorplay.library.get_kernel tensorplay.library.impl tensorplay.library.impl_abstract tensorplay.library.infer_schema tensorplay.library.opcheck tensorplay.library.register_autocast tensorplay.library.register_autograd tensorplay.library.register_fake tensorplay.library.register_kernel tensorplay.library.register_vmap tensorplay.library.triton_op tensorplay.library.wrap_triton

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latest (dev)2026-09-08 v1.0.02026-09-06

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tensorplay.library.define

tensorplay.library.define(qualname: str, schema: str | None = None, *, lib: Any = None, tags: Any = ()) → None[source]: Creates the CustomOpDef if absent (kernels are then attached with impl() or Library("ns", "IMPL").impl). tags is Like Library.define, a full "ns::op(Tensor) -> Tensor" string may be pasted as qualname.

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tensorplay.library.custom_op

Example:

tensorplay.library.get_kernel

dispatch_key accepts "cpu" / "cuda" / "default" and the composite spellings. Raises LookupError when nothing usable is registered (a disabled concrete kernel counts as absent, matching CustomOpDef.set_kernel_enabled() vi

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