ggml : add ggml_top_k (#17365)
* ggml : add ggml_top_k * cont : add ggml_argsort_top_k * metal : add top_k support * ggml : cleanup * tests : add virtual err() function for test_case * ggml : add comments
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@@ -961,14 +961,14 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
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// organize experts into n_expert_groups
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ggml_tensor * selection_groups = ggml_reshape_3d(ctx0, selection_probs, n_exp_per_group, hparams.n_expert_groups, n_tokens); // [n_exp_per_group, n_expert_groups, n_tokens]
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ggml_tensor * group_scores = ggml_top_k(ctx0, selection_groups, 2); // [2, n_expert_groups, n_tokens]
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ggml_tensor * group_scores = ggml_argsort_top_k(ctx0, selection_groups, 2); // [2, n_expert_groups, n_tokens]
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group_scores = ggml_get_rows(ctx0, ggml_reshape_4d(ctx0, selection_groups, 1, selection_groups->ne[0], selection_groups->ne[1], selection_groups->ne[2]), group_scores); // [1, 2, n_expert_groups, n_tokens]
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// get top n_group_used expert groups
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group_scores = ggml_sum_rows(ctx0, ggml_reshape_3d(ctx0, group_scores, group_scores->ne[1], group_scores->ne[2], group_scores->ne[3])); // [1, n_expert_groups, n_tokens]
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group_scores = ggml_reshape_2d(ctx0, group_scores, group_scores->ne[1], group_scores->ne[2]); // [n_expert_groups, n_tokens]
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ggml_tensor * expert_groups = ggml_top_k(ctx0, group_scores, hparams.n_group_used); // [n_group_used, n_tokens]
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ggml_tensor * expert_groups = ggml_argsort_top_k(ctx0, group_scores, hparams.n_group_used); // [n_group_used, n_tokens]
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cb(expert_groups, "ffn_moe_group_topk", il);
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// mask out the other groups
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@@ -979,7 +979,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
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}
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// select experts
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ggml_tensor * selected_experts = ggml_top_k(ctx0, selection_probs, n_expert_used); // [n_expert_used, n_tokens]
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ggml_tensor * selected_experts = ggml_argsort_top_k(ctx0, selection_probs, n_expert_used); // [n_expert_used, n_tokens]
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cb(selected_experts->src[0], "ffn_moe_argsort", il);
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cb(selected_experts, "ffn_moe_topk", il);
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