# tensorplay.cuda.memory API

Source: https://www.tensorplay.cn/docs/api/tensorplay.cuda.memory.html

## Functions 3

[#](#api-tensorplay.cuda.memory.caching_allocator_disabled)

### caching_allocator_disabled

function[Full reference ↗](/docs/generated/tensorplay.cuda.memory.caching_allocator_disabled.html)

```python
tensorplay.cuda.memory.caching_allocator_disabled()
```

Context manager that temporarily disables the CUDA caching allocator.

[#](#api-tensorplay.cuda.memory.caching_allocator_enable)

### caching_allocator_enable

function[Full reference ↗](/docs/generated/tensorplay.cuda.memory.caching_allocator_enable.html)

```python
tensorplay.cuda.memory.caching_allocator_enable(value: bool = True) → None
```

Enable or disable the CUDA memory allocator. On by default.

[#](#api-tensorplay.cuda.memory.use_mem_pool)

### use_mem_pool

function[Full reference ↗](/docs/generated/tensorplay.cuda.memory.use_mem_pool.html)

```python
tensorplay.cuda.memory.use_mem_pool(pool)
```

Route allocations to a MemPool (not supported by this build).