empty_cache¶

paddle.device.xpu. empty_cache ( ) → None [source]

Releases idle cached memory held by the allocator so that those can be used in other XPU application and visible in xpu-smi. In most cases you don’t need to use this function, Paddle does not release the memory back to the OS when you remove Tensors on the XPU, Because it keeps xpu memory in a pool so that next allocations can be done much faster.

Examples

>>> 
>>> import paddle
>>> paddle.device.set_device('xpu')

>>> tensor = paddle.randn([512, 512, 512], "float64")
>>> del tensor
>>> paddle.device.xpu.empty_cache()