std::vector<cudaGraphNode_t> nodes;
bool disable_due_to_gpu_arch = false;
bool warmup_complete = false;
- std::vector<ggml_tensor> nodes_copy;
+ struct node_properties {
+ ggml_tensor node;
+ void * node_src_data_ptrs[GGML_MAX_SRC];
+ };
+ std::vector<node_properties> node_props;
bool is_enabled() const {
static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
// Check if the graph size has changed
- if ((int)graph->nodes_copy.size() != cgraph->n_nodes) {
+ if ((int)graph->node_props.size() != cgraph->n_nodes) {
res = true;
- graph->nodes_copy.resize(cgraph->n_nodes);
+ graph->node_props.resize(cgraph->n_nodes);
}
for (int i = 0; i < cgraph->n_nodes; i++) {
- if (!res) {
- if (memcmp(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor)) != 0) {
- res = true;
- }
+ ggml_cuda_graph::node_properties prop = {};
+ memcpy(&prop.node, cgraph->nodes[i], sizeof(ggml_tensor));
+
+ // if the backend scheduler is making copies of CPU tensors, the src pointers can be the same but with different data, see:
+ // https://github.com/ggml-org/llama.cpp/pull/21472#discussion_r3052235188
+ for (int j = 0; j < GGML_MAX_SRC; ++j) {
+ prop.node_src_data_ptrs[j] = cgraph->nodes[i]->src[j] ? cgraph->nodes[i]->src[j]->data : nullptr;
+ }
+
+ if (!res && memcmp(&graph->node_props[i], &prop, sizeof(prop)) != 0) {
+ res = true;
}
- memcpy(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor));
+ graph->node_props[i] = prop;
}
return res;