Prepack all k blocks of Matrices A and B#20
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Inside the 8x8 kernel, isoalate the packing and MMA Computation. Not much performance differnce from 4.3 t/s to 4.1 t/s (llama-bench Q4 model p 128 n 1 t 1 ) Signed-off-by: Shalini Salomi Bodapati <Shalini.Salomi.Bodapati@ibm.com>
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…better shader parameter handling (ggml-org#20173) * K quant speedup (#20) * Basic JIT compilation for mul_mat, get_rows, and scale (#17) * scale jit working * preliminary working jit for getrows and mulmat, needs refining * simplified mul_mat preprocessing switch statement * get_rows fixes, mul_mat refinement * formatted + last edits * removed some extraneous prints * fixed get_rows, fixed workgroup dispatch in mul_mat. no gibberish * small fix * some changes, working * get_rows and mul_mat jit fixed and working * Update formatting * formatting * Add header --------- Co-authored-by: Neha Abbas <nehaabbas@ReeseLevines-MacBook-Pro.local> Co-authored-by: Reese Levine <reeselevine1@gmail.com> * Start work on all-encompassing shader library * refactor argmax, set_rows * Refactor all but flashattention, mat mul * no gibberish, all k quants added, merged * vec memory fix * q6_k matching metal on my machine, tests passing * Set tile size for q6_k separately * Separate out fast shaders --------- Co-authored-by: neha-ha <137219201+neha-ha@users.noreply.github.com> * Move towards writeBuffer for params * Move away from multiple buffers for set_rows errors, remove host buffer for parameter buffers, minor cleanups * Remove extra file * Formatting --------- Co-authored-by: neha-ha <137219201+neha-ha@users.noreply.github.com>
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Inside the 8x8 kernel, isoalate the packing and MMA Computation.
Not much performance differnce from 4.3 t/s to 4.1 t/s (llama-bench Q4 model p 128 n 1 t 1 )
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