From b333b06772c89d96aacb5490d6a219fba7c09cc6 Mon Sep 17 00:00:00 2001
From: Mitja Felicijan <mitja.felicijan@gmail.com>
Date: Thu, 12 Feb 2026 20:57:17 +0100
Subject: Engage!

---
 .../src/ggml-virtgpu/backend/shared/apir_cs_rpc.h  | 54 ++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h

(limited to 'llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h')

diff --git a/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h b/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h
new file mode 100644
index 0000000..f681798
--- /dev/null
+++ b/llama.cpp/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h
@@ -0,0 +1,54 @@
+#include "ggml.h"
+#include "ggml-backend-impl.h"
+
+#include <unordered_map>
+#include <unordered_set>
+#include <vector>
+#include <cstdint>
+
+// ggml_tensor is serialized into apir_rpc_tensor
+struct apir_rpc_tensor {
+    uint64_t id;
+    uint32_t type;
+    uint64_t buffer;
+    uint32_t ne[GGML_MAX_DIMS];
+    uint32_t nb[GGML_MAX_DIMS];
+    uint32_t op;
+    int32_t  op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
+    int32_t  flags;
+    uint64_t src[GGML_MAX_SRC];
+    uint64_t view_src;
+    uint64_t view_offs;
+    uint64_t data;
+    char     name[GGML_MAX_NAME];
+
+    char padding[4];
+};
+
+/* frontend */
+
+apir_rpc_tensor apir_serialize_tensor(const ggml_tensor * tensor);
+
+void apir_serialize_graph(const ggml_cgraph * cgraph, std::vector<uint8_t> & output);
+
+/* backend */
+
+void                                      apir_track_backend_buffer(ggml_backend_buffer_t buffer);
+bool                                      apir_untrack_backend_buffer(ggml_backend_buffer_t buffer);
+std::unordered_set<ggml_backend_buffer_t> apir_get_track_backend_buffers();
+
+void apir_add_tensor(ggml_tensor *                       tensor,
+                     std::vector<apir_rpc_tensor> &      tensors,
+                     std::unordered_set<ggml_tensor *> & visited);
+
+ggml_tensor * apir_deserialize_tensor(ggml_context * ctx, const apir_rpc_tensor * tensor);
+
+ggml_tensor * apir_create_node(uint64_t                                                      id,
+                               ggml_context *                                                ctx,
+                               const std::unordered_map<uint64_t, const apir_rpc_tensor *> & tensor_ptrs,
+                               std::unordered_map<uint64_t, ggml_tensor *> &                 tensor_map);
+
+ggml_cgraph * apir_deserialize_graph(uint32_t                n_nodes,
+                                     uint32_t                n_tensors,
+                                     const apir_rpc_tensor * tensors,
+                                     const uint64_t *        nodes);
-- 
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