context : fix off-by-one comparisons to n_gpu_layers (#24208)

diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index eff1d8f89f2985e3671f3fe018ea6a23375e730b..d0c314199b51416f9a8f2ab1d8e6f6b9cb89eaec 100644 (file)
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -341,7 +341,7 @@ llama_context::llama_context(
         // enabling pipeline parallelism in the scheduler increases memory usage, so it is only done when necessary
         bool pipeline_parallel =
             model.n_devices() > 1 &&
-            model.n_gpu_layers() > model.hparams.n_layer() &&
+            model.n_gpu_layers() > model.hparams.n_layer_all &&
             model.split_mode() == LLAMA_SPLIT_MODE_LAYER &&
             cparams.offload_kqv &&
             !model.has_tensor_overrides();
@@ -2351,7 +2351,7 @@ llm_graph_cb llama_context::graph_get_cb() const {
 
         // norm may be automatically assigned to the backend of the previous layer, increasing data transfer between backends
         // FIXME: fix in ggml_backend_sched
-        const bool full_offload = model.n_gpu_layers() > model.hparams.n_layer();
+        const bool full_offload = model.n_gpu_layers() > model.hparams.n_layer_all;
         if (ubatch.n_tokens < 32 || full_offload) {
             if (il != -1 && strcmp(name, "norm") == 0) {
                 const auto & dev_layer = model.dev_layer(il);