ggml-virtgpu: make the code thread safe (#19204)

* ggml-virtgpu: regenerate_remoting.py: add the ability to deprecate a function

* ggml-virtgpu: deprecate buffer_type is_host remoting

not necessary

* ggml-virtgpu: stop using static vars as cache

The static init isn't thread safe.

* ggml-virtgpu: protect the use of the shared memory to transfer data

* ggml-virtgpu: make the remote calls thread-safe

* ggml-virtgpu: backend: don't continue if couldn't allocate the tensor memory

* ggml-virtgpu: add a cleanup function for consistency

* ggml-virtgpu: backend: don't crash if buft->iface.get_max_size is missing

* fix style and ordering

* Remove the static variable in apir_device_get_count

* ggml-virtgpu: improve the logging

* fix review minor formatting changes

ggml/src/ggml-virtgpu/apir_cs_ggml-rpc-front.cpp

@@ -36,7 +36,7 @@ apir_rpc_tensor apir_serialize_tensor(const ggml_tensor * tensor) {
     result.data      = reinterpret_cast<uint64_t>(tensor->data);
     if (tensor->data) {
         if (!tensor->buffer) {
-            GGML_ABORT("tensor has data but not buffer");
+            GGML_ABORT("%s: tensor has data but not buffer", __func__);
         }
         // tensor->data is serialized as an offset to the buffer base address
         result.data -= reinterpret_cast<uint64_t>(BUFFER_TO_GGML_CONTEXT(tensor->buffer)->base);