disable pipeline parallelism when there are tensor overrides

Author: slaren

src/llama-context.cpp

@@ -255,7 +255,8 @@ llama_context::llama_context(
             model.n_devices() > 1 &&
             model.params.n_gpu_layers > (int) model.hparams.n_layer &&
             model.params.split_mode == LLAMA_SPLIT_MODE_LAYER &&
-            cparams.offload_kqv;
+            cparams.offload_kqv &&
+            !model.has_tensor_overrides();
 
         // pipeline parallelism requires support for async compute and events in all devices
         if (pipeline_parallel) {

src/llama-model.cpp

@@ -379,9 +379,12 @@ struct llama_model::impl {
     layer_dev dev_input = {};
     layer_dev dev_output = {};
     std::vector<layer_dev> dev_layer;
+
+    bool has_tensor_overrides;
 };
 
 llama_model::llama_model(const llama_model_params & params) : params(params), pimpl(std::make_unique<impl>()) {
+    pimpl->has_tensor_overrides = params.tensor_buft_overrides && params.tensor_buft_overrides[0].pattern;
 }
 
 llama_model::~llama_model() {}
@@ -4169,6 +4172,10 @@ ggml_backend_buffer_type_t llama_model::select_buft(int il) const {
             });
 }
 
+bool llama_model::has_tensor_overrides() const {
+    return pimpl->has_tensor_overrides;
+}
+
 const ggml_tensor * llama_model::get_tensor(const char * name) const {
     auto it = std::find_if(tensors_by_name.begin(), tensors_by_name.end(),
             [name](const std::pair<std::string, ggml_tensor *> & it) {

src/llama-model.h

@@ -382,6 +382,8 @@ struct llama_model {
 
     ggml_backend_buffer_type_t select_buft(int il) const;
 
+    bool has_tensor_overrides() const;
+
     const struct ggml_tensor * get_tensor(const char * name) const;
 
     // TODO: move this to new llm_arch_model_i interface