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https://github.com/ggerganov/llama.cpp.git
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Merge 4ff0831ce6
into 9ba399dfa7
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commit
2ffcbb19ff
@ -2317,6 +2317,7 @@ static void ggml_metal_encode_node(
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[encoder setBuffer:id_dst offset:offs_dst atIndex:3];
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[encoder setThreadgroupMemoryLength:8192 atIndex:0];
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//[encoder setThreadgroupMemoryLength:4096 + 2048 atIndex:0];
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[encoder dispatchThreadgroups:MTLSizeMake( (ne11 + 31)/32, (ne01 + 63)/64, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(128, 1, 1)];
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} else {
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int nth0 = 32;
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@ -6062,7 +6062,7 @@ kernel void kernel_mul_mm(
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ushort sgitg[[simdgroup_index_in_threadgroup]]) {
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threadgroup T * sa = (threadgroup T *)(shmem);
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threadgroup float * sb = (threadgroup float *)(shmem + 4096);
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threadgroup half * sb = (threadgroup half *)(shmem + 4096);
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const int r0 = tgpig.y;
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const int r1 = tgpig.x;
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@ -6077,11 +6077,11 @@ kernel void kernel_mul_mm(
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const short thread_col = ((short)tiitg/THREAD_PER_COL) < n_cols ? ((short)tiitg/THREAD_PER_COL) : n_cols - 1;
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simdgroup_T8x8 ma[4];
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simdgroup_float8x8 mb[2];
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simdgroup_float8x8 mc[8];
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simdgroup_half8x8 mb[2];
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simdgroup_half8x8 mc[8];
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for (short i = 0; i < 8; i++){
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mc[i] = make_filled_simdgroup_matrix<float, 8>(0.f);
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mc[i] = make_filled_simdgroup_matrix<half, 8>(0.h);
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}
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short il = (tiitg % THREAD_PER_ROW);
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@ -6115,7 +6115,7 @@ kernel void kernel_mul_mm(
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+ (tiitg/THREAD_PER_ROW)%8 + (i&7)*8) = temp_a[i/4][i%4];
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}
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*(threadgroup float2x4 *)(sb + 32*8*(tiitg%THREAD_PER_COL) + 8*(tiitg/THREAD_PER_COL)) = *((device float2x4 *) y);
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*(threadgroup half2x4 *)(sb + 32*8*(tiitg%THREAD_PER_COL) + 8*(tiitg/THREAD_PER_COL)) = (half2x4)(*((device float2x4 *)y));
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il = (il + 2 < nl) ? il + 2 : il % 2;
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x = (il < 2) ? x + (2 + nl - 1)/nl : x;
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@ -6125,7 +6125,7 @@ kernel void kernel_mul_mm(
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// load matrices from threadgroup memory and conduct outer products
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threadgroup const T * lsma = (sa + THREAD_MAT_M*SG_MAT_SIZE*(sgitg%2));
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threadgroup const float * lsmb = (sb + THREAD_MAT_N*SG_MAT_SIZE*(sgitg/2));
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threadgroup const half * lsmb = (sb + THREAD_MAT_N*SG_MAT_SIZE*(sgitg/2));
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#pragma unroll(4)
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for (short ik = 0; ik < BLOCK_SIZE_K/8; ik++) {
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@ -6157,7 +6157,11 @@ kernel void kernel_mul_mm(
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(BLOCK_SIZE_N * r1 + 16*(sgitg >> 1)) * args.ne0 + im*args.ne1*args.ne0;
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for (short i = 0; i < 8; i++) {
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simdgroup_store(mc[i], C + 8 * (i%4) + 8 * args.ne0 * (i/4), args.ne0);
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// cast to f32
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simdgroup_float8x8 mc_f32(1.0f);
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simdgroup_multiply(mc_f32, mc[i], mc_f32);
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simdgroup_store(mc_f32, C + 8 * (i%4) + 8 * args.ne0 * (i/4), args.ne0);
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//simdgroup_store(mc[i], C + 8 * (i%4) + 8 * args.ne0 * (i/4), args.ne0);
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}
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} else {
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// block is smaller than 64x32, we should avoid writing data outside of the matrix
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@ -6165,7 +6169,10 @@ kernel void kernel_mul_mm(
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threadgroup float * temp_str = ((threadgroup float *) shmem) \
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+ 32*(sgitg&1) + (16*(sgitg >> 1))*BLOCK_SIZE_M;
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for (short i = 0; i < 8; i++) {
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simdgroup_store(mc[i], temp_str + 8*(i%4) + 8*BLOCK_SIZE_M*(i/4), BLOCK_SIZE_M);
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simdgroup_float8x8 mc_f32(1.0f);
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simdgroup_multiply(mc_f32, mc[i], mc_f32);
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simdgroup_store(mc_f32, temp_str + 8 * (i%4) + 8 * BLOCK_SIZE_M * (i/4), BLOCK_SIZE_M);
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//simdgroup_store(mc[i], temp_str + 8 * (i%4) + 8 * BLOCK_SIZE_M * (i/4), BLOCK_SIZE_M);
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}
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threadgroup_barrier(mem_flags::mem_threadgroup);
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