empty_cache

paddle.cuda. empty_cache ( ) → None [source]

Release all unoccupied cached memory currently held by the caching allocator so that those can be used in other application and visible in nvidia-smi.

Returns

None

Examples

>>> 
>>> import paddle
>>> # Create a tensor to allocate memory
>>> tensor = paddle.randn([1000, 1000], device='cuda')
>>> # Delete the tensor to free memory (but it may still be cached)
>>> del tensor
>>> # Release the cached memory
>>> paddle.cuda.empty_cache()