Fix llama-cli

ggml/src/ggml-openvino/ggml-decoder.cpp

@@ -244,22 +244,36 @@ ov::PartialShape GgmlOvDecoder::get_graph_input_shape(const ggml_tensor* src) co
 }
 
 void GgmlOvDecoder::add_extra_inputs() {
-    // attention_size not used for NPU
+    // Extra inputs:
+    //   1. `attention_size`, used in matmul's in the attention block. The shape of those matmul's are 32 aligned,
+    //       see llama_kv_cache_unified::get_n_kv and llama_kv_cache_unified::get_padding.
+    //       Not used for NPU
     int64_t attention_size = -1;
 
     int64_t past_token_len = -1;
+    int64_t past_token_len_from_inp_pos = -1;
     for (const auto& node : m_nodes) {
+        if (node->op == GGML_OP_ROPE && std::string(node->src[1]->name) == "inp_pos") {
+            if (node->src[1]->type != GGML_TYPE_I32) {
+                throw std::runtime_error("Expected cgraph input `inp_pos` to be of type GGML_TYPE_I32");
+            }
+            past_token_len_from_inp_pos = ((int32_t*) (node->src[1]->data))[0];
+        }
         if (node->op == GGML_OP_CPY && ggml_is_contiguous(node)) {
             assert(std::string(node->view_src->name).find("cache_k") == 0);
-            int64_t head_size = node->src[0]->ne[0];
+            past_token_len =
-            int64_t num_heads = node->src[0]->ne[1];
+                (int64_t) (node->src[1]->op_params[0] / node->src[1]->nb[0] / m_head_size / m_num_heads_kv);
-            past_token_len = (int64_t) (node->src[1]->op_params[0] / node->src[1]->nb[0] / head_size / num_heads);
             break;
         }
     }
     if (past_token_len == -1) {
         throw std::runtime_error("Failed to find input \"cache_k\" in the graph");
     }
+    if (past_token_len != past_token_len_from_inp_pos) {
+        throw std::runtime_error("Mismatch between past_token_len from cache_k and inp_pos: " +
+                                 std::to_string(past_token_len) + " vs " + std::to_string(past_token_len_from_inp_pos));
+    }
+
     for (const auto& node : m_nodes) {
         if (node->src[1] && std::string(node->src[1]->name).find("inp_tokens") == 0) {
             int64_t total_token_len = node->src[1]->ne[0] + past_token_len;