rpc: avoid serializing buffers from other servers (#26500)

* rpc: avoid serializing buffers from other servers

Only include remote buffer pointers when the buffer belongs to the RPC dispatcher receiving the graph. Add a two-server regression test for cross-server tensor serialization.

Assisted-by: Codex

* cont : add ref

---------

Co-authored-by: Georgi Gerganov <[email protected]>
This commit is contained in:
hmirin
2026-08-30 20:26:16 +03:00
committed by GitHub
co-authored by Georgi Gerganov
parent 6d1479c148
commit a7cc83bbae
4 changed files with 118 additions and 10 deletions
+16 -10
View File
@@ -625,7 +625,7 @@ static bool ggml_backend_buffer_is_rpc(ggml_backend_buffer_t buffer) {
return buffer->iface.free_buffer == ggml_backend_rpc_buffer_free_buffer;
}
static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
static rpc_tensor serialize_tensor(const ggml_tensor * tensor, const std::shared_ptr<rpc_dispatcher> & dispatcher = nullptr) {
rpc_tensor result;
if (!tensor) {
memset(&result, 0, sizeof(result));
@@ -637,8 +637,14 @@ static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
if (tensor->buffer && ggml_backend_buffer_is_rpc(tensor->buffer)) {
ggml_backend_buffer_t buffer = tensor->buffer;
ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
result.buffer = ctx != nullptr ? ctx->remote_ptr : 0;
result.data = reinterpret_cast<uint64_t>(tensor->data);
// ref: https://github.com/ggml-org/llama.cpp/pull/26500
if (ctx != nullptr && (dispatcher == nullptr || ctx->dispatcher == dispatcher)) {
result.buffer = ctx->remote_ptr;
result.data = reinterpret_cast<uint64_t>(tensor->data);
} else {
result.buffer = 0;
result.data = 0;
}
} else {
result.buffer = 0;
result.data = 0;
@@ -958,7 +964,7 @@ static void ggml_backend_rpc_synchronize(ggml_backend_t backend) {
rpc_ctx->dispatcher->synchronize();
}
static void add_tensor(ggml_tensor * tensor, const ggml_cgraph * cgraph, std::vector<rpc_tensor> & tensors, std::unordered_set<ggml_tensor*> & visited) {
static void add_tensor(ggml_tensor * tensor, const ggml_cgraph * cgraph, const std::shared_ptr<rpc_dispatcher> & dispatcher, std::vector<rpc_tensor> & tensors, std::unordered_set<ggml_tensor*> & visited) {
if (tensor == nullptr) {
return;
}
@@ -967,10 +973,10 @@ static void add_tensor(ggml_tensor * tensor, const ggml_cgraph * cgraph, std::ve
}
visited.insert(tensor);
for (int i = 0; i < GGML_MAX_SRC; i++) {
add_tensor(tensor->src[i], cgraph, tensors, visited);
add_tensor(tensor->src[i], cgraph, dispatcher, tensors, visited);
}
add_tensor(tensor->view_src, cgraph, tensors, visited);
rpc_tensor result = serialize_tensor(tensor);
add_tensor(tensor->view_src, cgraph, dispatcher, tensors, visited);
rpc_tensor result = serialize_tensor(tensor, dispatcher);
const size_t hash_pos = ggml_hash_find(&cgraph->visited_hash_set, tensor);
if (hash_pos != GGML_HASHSET_FULL && ggml_bitset_get(cgraph->visited_hash_set.used, hash_pos)) {
result.use_count = cgraph->use_counts[hash_pos];
@@ -978,12 +984,12 @@ static void add_tensor(ggml_tensor * tensor, const ggml_cgraph * cgraph, std::ve
tensors.push_back(result);
}
static uint8_t * serialize_graph(uint32_t device, const ggml_cgraph * cgraph, size_t * output_size) {
static uint8_t * serialize_graph(uint32_t device, const ggml_cgraph * cgraph, const std::shared_ptr<rpc_dispatcher> & dispatcher, size_t * output_size) {
uint32_t n_nodes = cgraph->n_nodes;
std::vector<rpc_tensor> tensors;
std::unordered_set<ggml_tensor*> visited;
for (uint32_t i = 0; i < n_nodes; i++) {
add_tensor(cgraph->nodes[i], cgraph, tensors, visited);
add_tensor(cgraph->nodes[i], cgraph, dispatcher, tensors, visited);
}
// serialization format:
// | device (4 bytes) | n_nodes (4 bytes) | nodes (n_nodes * sizeof(uint64_t) | n_tensors (4 bytes) | tensors (n_tensors * sizeof(rpc_tensor)) |
@@ -1020,7 +1026,7 @@ static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, g
} else {
rpc_dev_ctx->last_graph_uid = cgraph->uid;
size_t input_size = 0;
uint8_t * input = serialize_graph(rpc_ctx->device, cgraph, &input_size);
uint8_t * input = serialize_graph(rpc_ctx->device, cgraph, rpc_ctx->dispatcher, &input_size);
std::shared_ptr<uint8_t> input_ptr(input, std::default_delete<uint8_t[]>());
rpc_ctx->dispatcher->send_async(RPC_CMD_GRAPH_COMPUTE, input_ptr, input_size);
}
+47
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@@ -0,0 +1,47 @@
#include "ggml-alloc.h"
#include "ggml-backend.h"
#include "ggml-impl.h"
#include "ggml-rpc.h"
#include "ggml.h"
int main(int argc, char ** argv) {
GGML_ASSERT(argc == 3);
ggml_backend_load_all();
const char * endpoint_a = argv[1];
const char * endpoint_b = argv[2];
ggml_backend_t backend_a = ggml_backend_rpc_init(endpoint_a, 0);
ggml_backend_t backend_b = ggml_backend_rpc_init(endpoint_b, 0);
GGML_ASSERT(backend_a != nullptr);
GGML_ASSERT(backend_b != nullptr);
ggml_init_params params = {
/* .mem_size = */ ggml_tensor_overhead() + ggml_graph_overhead_custom(1, false),
/* .mem_buffer = */ nullptr,
/* .no_alloc = */ true,
};
ggml_context * ctx = ggml_init(params);
GGML_ASSERT(ctx != nullptr);
ggml_tensor * tensor = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1);
ggml_backend_buffer_t buffer = ggml_backend_alloc_ctx_tensors(ctx, backend_a);
GGML_ASSERT(buffer != nullptr);
// A remote pointer allocated by server A is not meaningful to server B.
ggml_cgraph * graph = ggml_new_graph_custom(ctx, 1, false);
graph->nodes[0] = tensor;
graph->n_nodes = 1;
GGML_ASSERT(ggml_backend_graph_compute(backend_b, graph) == GGML_STATUS_SUCCESS);
// Wait for server B to finish the graph before the script checks its log.
size_t free_mem;
size_t total_mem;
ggml_backend_rpc_get_device_memory(endpoint_b, 0, &free_mem, &total_mem);
GGML_ASSERT(total_mem > 0);
ggml_backend_buffer_free(buffer);
ggml_free(ctx);
ggml_backend_free(backend_b);
ggml_backend_free(backend_a);
return 0;
}
+43
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@@ -0,0 +1,43 @@
#!/usr/bin/env bash
set -euo pipefail
server=$1
client=$2
port_a=$((40000 + $$ % 10000))
port_b=$((port_a + 1))
endpoint_a="127.0.0.1:${port_a}"
endpoint_b="127.0.0.1:${port_b}"
test_dir=$(mktemp -d)
cleanup() {
kill "${pid_a:-}" "${pid_b:-}" 2>/dev/null || true
rm -rf "$test_dir"
}
trap cleanup EXIT
wait_for_port() {
local port=$1
for _ in {1..600}; do
if (exec 3<>"/dev/tcp/127.0.0.1/$port") 2>/dev/null; then
exec 3>&-
exec 3<&-
return 0
fi
sleep 0.05
done
return 1
}
"$server" --device CPU --host 127.0.0.1 --port "$port_a" >"$test_dir/server-a.log" 2>&1 &
pid_a=$!
"$server" --device CPU --host 127.0.0.1 --port "$port_b" >"$test_dir/server-b.log" 2>&1 &
pid_b=$!
wait_for_port "$port_a"
wait_for_port "$port_b"
"$client" "$endpoint_a" "$endpoint_b"
if grep -q "invalid data ptr" "$test_dir/server-b.log"; then
cat "$test_dir/server-b.log"
exit 1
fi
+12
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@@ -3,6 +3,18 @@ add_executable(${TARGET} rpc-server.cpp)
target_link_libraries(${TARGET} PRIVATE ggml)
target_compile_features(${TARGET} PRIVATE cxx_std_17)
if (LLAMA_BUILD_TESTS AND UNIX AND NOT GGML_BACKEND_DL)
add_executable(test-rpc-multi-server ${PROJECT_SOURCE_DIR}/tests/test-rpc-multi-server.cpp)
target_link_libraries(test-rpc-multi-server PRIVATE ggml ggml-rpc)
target_include_directories(test-rpc-multi-server PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src)
add_test(
NAME test-rpc-multi-server
COMMAND bash ${PROJECT_SOURCE_DIR}/tests/test-rpc-multi-server.sh
$<TARGET_FILE:ggml-rpc-server>
$<TARGET_FILE:test-rpc-multi-server>)
set_property(TEST test-rpc-multi-server PROPERTY LABELS main)
endif()
if(LLAMA_TOOLS_INSTALL)
install(TARGETS ${TARGET} RUNTIME)
endif()