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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2 changed files with 110 additions and 164 deletions
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@ -792,7 +792,7 @@ void ggml_metal_graph_compute(
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const float eps = 1e-6f;
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const int nth = 256;
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const int nth = 512;
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[encoder setComputePipelineState:ctx->pipeline_rms_norm];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -800,7 +800,7 @@ void ggml_metal_graph_compute(
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[encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2];
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[encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:3];
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[encoder setBytes:&eps length:sizeof( float) atIndex:4];
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[encoder setThreadgroupMemoryLength:nth*sizeof(float) atIndex:0];
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[encoder setThreadgroupMemoryLength:nth/32*sizeof(float) atIndex:0];
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const int64_t nrows = ggml_nrows(src0);
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