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authorShouzheng Liu <lshzh.hi@gmail.com>2023-07-20 06:32:22 -0400
committerGitHub <noreply@github.com>2023-07-20 13:32:22 +0300
commit417a85a0010519224cf154eb85d383ffeafeeead (patch)
treeeb9b9668426c7318e2ab1389f04118e126752a8e /ggml-opencl.h
parent294f424554c1599784ac9962462fc39ace92d8a5 (diff)
metal: minor q4 optimization and reduce code size (#2248)
* metal: use uint16_t instead of uint8_t. Apple GPU doesn't like uint8_t. For every operation on uint8_t the gpu need to copy the uint8_t to an empty 16 bit register, then it can issue other instructions. For the matrix-vector multiplication kernel only, we observed a 340~350 GB/s memory read speed on M1 Max after this commit, which is very close to the reported hardware limit. * metal: update rms_norm kernel This commit double the speed of rms_norm operations by using 512 threads per threadgroup, combining with SIMD primitives to minimize the need for thread group barriers. * metal: use template to reduce size Revert modifications on block_q4_0 and block_q4_1.
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