# tensorplay.cuda.graphs.graph_pool_handle

Source: https://www.tensorplay.cn/docs/generated/tensorplay.cuda.graphs.graph_pool_handle.html

```python
tensorplay.cuda.graphs.graph_pool_handle()
```

Return an opaque token representing the id of a graph memory pool.

Pass it as the pool= argument of [graph()](/docs/generated/tensorplay.cuda.graphs.graph.html#tensorplay.cuda.graphs.graph) so several graphs
capture into (and reuse memory from) one shared private pool.