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opencl: fix rms_norm_mul (#17250)
* opencl: use subgrroup reduce for reduction in rms_norm_mul * opencl: add comment about workgroup size
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@@ -5705,7 +5705,7 @@ static void ggml_opencl_op_rms_norm_fused(ggml_backend_t backend, ggml_tensor *
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CL_CHECK(clSetKernelArg(kernel, 21, sizeof(cl_ulong), &nb2));
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CL_CHECK(clSetKernelArg(kernel, 22, sizeof(cl_ulong), &nb3));
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CL_CHECK(clSetKernelArg(kernel, 23, sizeof(float), &eps));
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CL_CHECK(clSetKernelArg(kernel, 24, sizeof(float)*nth/sgs, NULL));
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CL_CHECK(clSetKernelArg(kernel, 24, sizeof(float)*sgs, NULL));
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backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
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}
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@@ -134,6 +134,15 @@ kernel void kernel_rms_norm_mul(
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src1 = src1 + offset1;
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dst = dst + offsetd;
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// The size of sum is sizeof(float)*subgroup_size.
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// Each subgroup writes its partial sum to this array.
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// So the number of subgroups per workgroup for this kernel cannot exceed the subgroup size.
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// This is generally true -
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// for subgroup size 64, workgroup size should be less than 4096 (the max is usually 1024).
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if (get_sub_group_id() == 0) {
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sum[get_sub_group_local_id()] = 0.0f;
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}
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int i03 = get_group_id(2);
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int i02 = get_group_id(1);
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int i01 = get_group_id(0);
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@@ -148,24 +157,30 @@ kernel void kernel_rms_norm_mul(
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sumf += dot(x[i00], x[i00]);
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}
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sumf = sub_group_reduce_add(sumf);
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barrier(CLK_LOCAL_MEM_FENCE);
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if (get_sub_group_local_id() == 0) {
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sum[get_sub_group_id()] = sumf;
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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for (uint i = get_local_size(0) / get_max_sub_group_size() / 2; i > 0; i /= 2) {
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if (get_local_id(0) < i) {
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sum[get_local_id(0)] += sum[get_local_id(0) + i];
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}
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}
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if (get_local_id(0) == 0) {
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sum[0] /= ne00;
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}
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//for (uint i = get_local_size(0) / get_max_sub_group_size() / 2; i > 0; i /= 2) {
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// if (get_local_id(0) < i) {
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// sum[get_local_id(0)] += sum[get_local_id(0) + i];
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// }
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//}
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//if (get_local_id(0) == 0) {
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// sum[0] /= ne00;
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//}
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barrier(CLK_LOCAL_MEM_FENCE);
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//barrier(CLK_LOCAL_MEM_FENCE);
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float mean = sum[0];
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sumf = sum[get_sub_group_local_id()];
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sumf = sub_group_reduce_add(sumf);
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float mean = sumf / ne00;
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float scale = 1.0f/sqrt(mean + eps);
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global float4 * y = (global float4 *) (dst + i03*nb3 + i02*nb2 + i01*nb1);
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