IMPORTANT: This repository is no longer maintained, because the content was moved into https://github.com/kitsudaiki/Hanami-AI
License: Apache License 2.0
Name: Hanami
Short-Desctription: A custom developed artificial neural network, which can grow over time and doesn't require normalization of input-values, within an as-a-Service structure.
Repository: https://github.com/kitsudaiki/Hanami
Documentation: https://docs.hanami-ai.com/
I want to live in Japan, so I hope to find a suitable job for me there, to make this possible.
The used cl.hpp header file is deprecated and has to be updated with the new file cl2.hpp
bind buffer by name instead of index to make code and debug-output better readable, when it comes to many buffers and kernels.
The interface looks a bit dirty and inconsistent. It need a smaller rework again.
While working on another project, the handling seems to be a bit hard. The additional size-values as argument in the gpu-kernels make to code harder to read and the initializing more complicate, when multiple kernels share the same buffer. So this should be removed again.
Beside this, the explicit definition of buffers as output reduce the flexibility of the code and so this should be removed as well.
The internal kernel-definition objects has its own map with linked buffers, which is only used for the argument-counter for updating a size-value on the device. Buffers should be never be resized, so this value and so the entire additional linked buffer list is unnecessary.
Kernel doesn't wait until finished.
add multi-gpu- and multi-kernel-support
When adding local memory, there is not check, if the graphic card support this amount. If the requested amount is too high, the execution of the kernel fails with a -5-error-code. So there should be a check within this library, when creating the local memory.
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