CUDA: also store node->src->data ptrs for equality check (#21635)
* CUDA: also store node->src->data ptrs for equality check * address review comments
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@@ -1173,7 +1173,11 @@ struct ggml_cuda_graph {
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std::vector<cudaGraphNode_t> nodes;
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std::vector<cudaGraphNode_t> nodes;
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bool disable_due_to_gpu_arch = false;
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bool disable_due_to_gpu_arch = false;
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bool warmup_complete = false;
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bool warmup_complete = false;
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std::vector<ggml_tensor> nodes_copy;
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struct node_properties {
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ggml_tensor node;
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void * node_src_data_ptrs[GGML_MAX_SRC];
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};
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std::vector<node_properties> node_props;
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bool is_enabled() const {
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bool is_enabled() const {
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static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
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static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
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@@ -2979,18 +2979,25 @@ static bool ggml_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx
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ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
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ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
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// Check if the graph size has changed
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// Check if the graph size has changed
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if ((int)graph->nodes_copy.size() != cgraph->n_nodes) {
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if ((int)graph->node_props.size() != cgraph->n_nodes) {
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res = true;
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res = true;
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graph->nodes_copy.resize(cgraph->n_nodes);
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graph->node_props.resize(cgraph->n_nodes);
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}
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}
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for (int i = 0; i < cgraph->n_nodes; i++) {
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for (int i = 0; i < cgraph->n_nodes; i++) {
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if (!res) {
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ggml_cuda_graph::node_properties prop = {};
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if (memcmp(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor)) != 0) {
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memcpy(&prop.node, cgraph->nodes[i], sizeof(ggml_tensor));
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res = true;
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}
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// if the backend scheduler is making copies of CPU tensors, the src pointers can be the same but with different data, see:
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// https://github.com/ggml-org/llama.cpp/pull/21472#discussion_r3052235188
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for (int j = 0; j < GGML_MAX_SRC; ++j) {
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prop.node_src_data_ptrs[j] = cgraph->nodes[i]->src[j] ? cgraph->nodes[i]->src[j]->data : nullptr;
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}
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}
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memcpy(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor));
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if (!res && memcmp(&graph->node_props[i], &prop, sizeof(prop)) != 0) {
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res = true;
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}
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graph->node_props[i] = prop;
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}
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}
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return res;
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return res;
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