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* Add HSA backend to GPT-2 example
* Remove CPU backend from HSA
* Returning that it is host buffer for NPU memory
* Adding CPY kernels and factoring out kernel code
* Formatting, comments
* Temporary storage for cpy
* Extracting supports_op conditions
* Renaming function
It seems to be a tiny and somewhat capable model, making it perfect to run locally. A GGML port may even allow mid-range phones to run it.
Related to #12.
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