# chainer.backends.cuda.memoize¶

chainer.backends.cuda.memoize(for_each_device=False)[source]

Makes a function memoizing the result for each argument and device.

This is a similar version of cupy.memoize(). The difference is that this function can be used in the global scope even if CUDA is not available. In such case, this function does nothing.

Note

This decorator acts as a dummy if CUDA is not available. It cannot be used for general purpose memoization even if for_each_device is set to False.