Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
Is that possible for you to provide a element-wise power/sqrt function for the python interface? I'd like to adjust the weight use Adagrad or RMSprop, which requires a such operation. However, the numpy solution does not work well on multi-GPU case.
Or can you show me some instruction about how to add such operations?
Hi guys,
Is that possible for you to provide a element-wise power/sqrt function for the python interface? I'd like to adjust the weight use Adagrad or RMSprop, which requires a such operation. However, the numpy solution does not work well on multi-GPU case. Or can you show me some instruction about how to add such operations?
Thanks. Tao