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Vulkan: Disable multi-add for now (#581)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -9870,6 +9870,28 @@ llm_expert_gating_func_type gating_op,
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cb(cur, "ffn_moe_weighted", il);
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}
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#ifdef GGML_USE_VULKAN
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// aggregate experts
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ggml_tensor * moe_out = nullptr;
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//ggml_tensor * first_expert = nullptr;
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for (int i = 0; i < n_expert_used; ++i) {
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ggml_tensor * cur_expert = ggml_view_2d(ctx, experts, n_embd, n_tokens,
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experts->nb[2], i*experts->nb[1]);
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if (i == 0) {
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moe_out = cur_expert;
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} else {
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moe_out = ggml_add(ctx, moe_out, cur_expert);
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}
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}
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if (n_expert_used == 1) {
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// avoid returning a non-contiguous tensor
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moe_out = ggml_cont(ctx, moe_out);
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}
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return moe_out;
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#else
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if (n_expert_used == 1) {
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return ggml_cont(ctx, ggml_view_2d(ctx, experts, n_embd, n_tokens, experts->nb[2], 0));
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}
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@@ -9878,32 +9900,8 @@ llm_expert_gating_func_type gating_op,
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ggml_view_2d(ctx, experts, n_embd, n_tokens, experts->nb[2], experts->nb[1]));
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}
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return ggml_multi_add(ctx, ggml_view_2d(ctx, experts, n_embd, n_tokens, experts->nb[2], 0), n_expert_used);
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#endif
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//// aggregate experts
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//ggml_tensor * moe_out = nullptr;
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////ggml_tensor * first_expert = nullptr;
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//for (int i = 0; i < n_expert_used; ++i) {
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// ggml_tensor * cur_expert = ggml_view_2d(ctx, experts, n_embd, n_tokens,
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// experts->nb[2], i*experts->nb[1]);
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// if (i == 0) {
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// moe_out = cur_expert;
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// //first_expert = cur_expert;
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// //printf("%s: %d: %d x %d x %d x %d | %d x %d x %d x %d\n", __func__, ggml_is_contiguous(first_expert),
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// // (int)cur_expert->ne[0], (int)cur_expert->ne[1], (int)cur_expert->ne[2], (int)cur_expert->ne[3],
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// // (int)cur_expert->nb[0], (int)cur_expert->nb[1], (int)cur_expert->nb[2], (int)cur_expert->nb[3]);
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// } else {
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// moe_out = ggml_add(ctx, moe_out, cur_expert);
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// //printf("%s: %d %d\n", __func__, ggml_is_contiguous(cur_expert), ggml_are_same_shape(cur_expert, first_expert));
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// }
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//}
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//if (n_expert_used == 1) {
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// // avoid returning a non-contiguous tensor
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// moe_out = ggml_cont(ctx, moe_out);
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//}
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//return moe_out;
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}
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static struct ggml_tensor * llm_build_kqv(
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