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This repository has been archived by the owner on Mar 31, 2019. It is now read-only.
Some functions have the same functional, but 2 backends can return different format of results. However, it is not a big issue if we carefully abstract them.
The biggest advantages of adding tensorflow backend is that it significantly speed up the building and running process on CPU. Hence, it helps a lot with the development process.
I am aware that some Agentnet modules are specialised for only Lasagne, however, I think it is possible to adapt all common layers for both frameworks.
The text was updated successfully, but these errors were encountered:
we're planning on this (and in fact could use someone help with contributions), so far you can obtain similar speed-ups by compiling with mode "FAST_COMPILE" or "DEBUG_MODE"
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The idea comes from lasagne: Lasagne/Lasagne#611
Some functions have the same functional, but 2 backends can return different format of results. However, it is not a big issue if we carefully abstract them.
The biggest advantages of adding tensorflow backend is that it significantly speed up the building and running process on CPU. Hence, it helps a lot with the development process.
I am aware that some Agentnet modules are specialised for only Lasagne, however, I think it is possible to adapt all common layers for both frameworks.
The text was updated successfully, but these errors were encountered: