ggml-virtgpu: improve the reliability of the code (#19846)

* ggml-virtgpu-backend: validate the consistency of the received objects

This patch adds consistency checks in the
ggml-virtgpu-backend (running on the host side) to ensure that the
data received from the guest is consistent (valid pointers, valid
sizes and offsets).

* ggml-virtgpu-backend: add fallback/skips for optional ggml backend methods

```
  1. bck->iface.synchronize(bck)
  2. buft->iface.get_alloc_size(buft, op)
  3. buft->iface.get_max_size(buft)
```

these three methods are optional in the GGML interface. `get_max_size`
was already properly defaulted, but `backend sychronize` and `butf
get_max_size` would have segfaulted the backend if not implemented.

* ggml-virtgpu-backend: fix log format missing argument

* ggml-virtgpu-backend: improve the abort message

* ggml-virtgpu-backend: more safety checks

* ggml-virtgpu-backend: new error code

* ggml-virtgpu-backend: initialize all the error codes

* ggml-virtgpu: add a missing comment generated by the code generator

* ggml-virtgpu: add the '[virtgpu]' prefix to the device/buffer names

* ggml-virtgpu: apir_device_buffer_from_ptr: improve the error message

* ggml-virtgpu: shared: make it match the latest api_remoting.h of Virglrenderer APIR

(still unmerged)

* ggml-virtgpu: update the code generator to have dispatch_command_name in a host/guest shared file

* ggml-virtgpu: REMOTE_CALL: fail if the backend returns an error

* docs/backend/VirtGPU.md: indicate that the RAM+VRAM size is limed to 64 GB with libkrun

* ggml-virtgpu: turn off clang-format header ordering for some of the files

Compilation breaks when ordered alphabetically.

* ggml-virtgpu: clang-format

* ggml-virtgpu/backend/shared/api_remoting: better comments for the APIR return codes
This commit is contained in:
Kevin Pouget
2026-02-26 13:00:57 +01:00
committed by GitHub
parent efba35a860
commit ffaafde16f
30 changed files with 398 additions and 257 deletions
@@ -26,7 +26,7 @@ char * apir_device_get_name(virtgpu * gpu) {
REMOTE_CALL(gpu, encoder, decoder, ret);
const size_t string_size = apir_decode_array_size_unchecked(decoder);
char * string = (char *) apir_decoder_alloc_array(sizeof(char), string_size);
char * string = (char *) apir_decoder_alloc_array(sizeof(char), string_size);
if (!string) {
GGML_LOG_ERROR(GGML_VIRTGPU "%s: Could not allocate the device name buffer\n", __func__);
return NULL;
@@ -173,7 +173,7 @@ apir_buffer_context_t apir_device_buffer_from_ptr(virtgpu * gpu, size_t size, si
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_DEVICE_BUFFER_FROM_PTR);
if (virtgpu_shmem_create(gpu, size, &buffer_context.shmem)) {
GGML_ABORT(GGML_VIRTGPU "Couldn't allocate the guest-host shared buffer");
GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate %ldb of guest-host shared buffer", __func__, size);
}
apir_encode_virtgpu_shmem_res_id(encoder, buffer_context.shmem.res_id);