metal : batch rows copy in a single threadgroup (#14384)
* metal : batch rows copy in a single threadgroup ggml-ci * metal : handle some edge cases when threadgroup size is not a power of 2 ggml-ci
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@ -2450,6 +2450,7 @@ static bool ggml_metal_encode_node(
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nth *= 2;
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}
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nth = MIN(nth, (int) pipeline.maxTotalThreadsPerThreadgroup);
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nth = MIN(nth, ne00);
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ggml_metal_kargs_sum_rows args = {
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@ -3780,6 +3781,7 @@ static bool ggml_metal_encode_node(
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nth *= 2;
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}
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nth = MIN(nth, (int) pipeline.maxTotalThreadsPerThreadgroup);
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nth = MIN(nth, ne00/4);
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ggml_metal_kargs_rms_norm args = {
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@ -3816,6 +3818,7 @@ static bool ggml_metal_encode_node(
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nth *= 2;
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}
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nth = MIN(nth, (int) pipeline.maxTotalThreadsPerThreadgroup);
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nth = MIN(nth, ne00/4);
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ggml_metal_kargs_l2_norm args = {
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@ -3888,6 +3891,7 @@ static bool ggml_metal_encode_node(
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nth *= 2;
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}
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nth = MIN(nth, (int) pipeline.maxTotalThreadsPerThreadgroup);
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nth = MIN(nth, ne00/4);
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ggml_metal_kargs_norm args = {
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@ -4974,8 +4978,39 @@ static bool ggml_metal_encode_node(
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default: GGML_ABORT("not implemented");
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}
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GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
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// TODO: support
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//const int32_t nk00 = ne00/ggml_blck_size(dst->type);
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const int32_t nk00 = ne00;
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int nth = 32; // SIMD width
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while (nth < nk00 && nth < (int) pipeline.maxTotalThreadsPerThreadgroup) {
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nth *= 2;
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}
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nth = MIN(nth, (int) pipeline.maxTotalThreadsPerThreadgroup);
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// when rows are small, we can batch them together in a single threadgroup
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int nrptg = 1;
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// TODO: relax this constraint in the future
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if (ggml_blck_size(src0->type) == 1 && ggml_blck_size(dst->type) == 1) {
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if (nth > nk00) {
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nrptg = (nth + nk00 - 1)/nk00;
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nth = nk00;
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if (nrptg*nth > (int) pipeline.maxTotalThreadsPerThreadgroup) {
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nrptg--;
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}
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}
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}
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nth = MIN(nth, nk00);
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ggml_metal_kargs_cpy args = {
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/*.ne00 =*/ ne00,
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/*.ne00 =*/ nk00,
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/*.ne01 =*/ ne01,
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/*.ne02 =*/ ne02,
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/*.ne03 =*/ ne03,
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@ -4998,11 +5033,7 @@ static bool ggml_metal_encode_node(
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:1];
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[encoder setBuffer:id_dst offset:offs_dst atIndex:2];
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GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
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int nth = MIN(1024, ne00/ggml_blck_size(src0->type));
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[encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
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[encoder dispatchThreadgroups:MTLSizeMake((ne01 + nrptg - 1)/nrptg, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, nrptg, 1)];
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} break;
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case GGML_OP_SET:
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{
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@ -4306,11 +4306,16 @@ kernel void kernel_cpy(
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device const char * src0,
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device char * dst,
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uint3 tgpig[[threadgroup_position_in_grid]],
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uint tiitg[[thread_index_in_threadgroup]],
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ushort3 tpitg[[thread_position_in_threadgroup]],
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ushort3 ntg[[threads_per_threadgroup]]) {
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ushort3 tptg[[threads_per_threadgroup]]) {
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const int i03 = tgpig[2];
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const int i02 = tgpig[1];
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const int i01 = tgpig[0];
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const int i01 = tgpig[0]*tptg.y + tiitg/tptg.x;
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if (i01 >= args.ne01) {
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return;
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}
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const int64_t n = i03*args.ne02*args.ne01*args.ne00 + i02*args.ne01*args.ne00 + i01*args.ne00;
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@ -4321,7 +4326,7 @@ kernel void kernel_cpy(
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device T1 * dst_data = (device T1 *) (dst + i3*args.nb3 + i2*args.nb2 + i1*args.nb1 + i0*args.nb0);
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for (int64_t i00 = tpitg.x; i00 < args.ne00; i00 += ntg.x) {
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for (int64_t i00 = tiitg%tptg.x; i00 < args.ne00; i00 += tptg.x) {
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device const T0 * src = (device T0 *)(src0 + i03*args.nb03 + i02*args.nb02 + i01*args.nb01 + i00*args.nb00);
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dst_data[i00] = (T1) src[0];
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}
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