# Library

Source: https://www.tensorplay.cn/docs/generated/tensorplay.library.Library.html

```python
class tensorplay.library.Library(namespace: str, kind: str = 'DEF')
```

one DEF library per process/namespace), "IMPL" adds kernels, and
"FRAGMENT" extends an existing namespace from multiple locations.

```python
define(schema: str, *, alias_analysis: str = '', tags: Any = ()) → None
```

Define an operator from a schema like "ns::add(Tensor, Tensor)".

Only the qualified name is meaningful (TensorPlay models no schema
schema strings can be pasted verbatim.  alias_analysis and
tags are accepted and ignored for call-site compatibility.

```python
fallback(kind: str) → None
```

TensorPlay’s dispatcher has no per-key fallthrough table, so this
of silently mis-dispatching.

```python
impl(op_name: str, fn: Callable[[...], Any] | None = None, *, device_type: str = 'CompositeExplicitAutograd', dispatch_key: str = '', allow_override: bool = True) → Callable[[...], Any]
```

device_type accepts composite spellings (Composite… → the
device-agnostic slot) or concrete devices ("CPU"/"CUDA");
(non-empty wins).  May be used directly or as a decorator.