include llama.cpp since there were some edits

llama.cpp/common/fit.h

@@ -0,0 +1,67 @@
+#pragma once
+
+#include "ggml.h"
+#include "llama.h"
+
+#include <vector>
+
+enum common_params_fit_status {
+    COMMON_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
+};
+
+// a second model that shares the devices of the main model, e.g. a draft model
+//   - its context follows the context of the main model, so its memory is measured again whenever that context changes
+//   - shares_model tells the fit that the weights are already counted in the main model, as for an MTP context
+struct common_fit_extra_model {
+    const char * path_model;
+    llama_model_params * mparams;
+    llama_context_params * cparams;
+    bool shares_model;
+};
+
+// fits mparams and cparams to free device memory (assumes system memory is unlimited)
+//   - returns true if the parameters could be successfully modified to fit device memory
+//   - this function is NOT thread safe because it modifies the global llama logger state
+//   - only parameters that have the same value as in llama_default_model_params are modified
+//     with the exception of the context size which is modified if and only if equal to 0
+common_params_fit_status common_fit_params(
+                         const char * path_model,
+                 llama_model_params * mparams,
+               llama_context_params * cparams,
+                              float * tensor_split,          // writable buffer for tensor split, needs at least llama_max_devices elements
+   llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
+                             size_t * margins,               // margins of memory to leave per device in bytes
+                           uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
+      const common_fit_extra_model * extra,                  // model to fit alongside the main one, nullptr if there is none
+                     ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
+
+// print estimated memory to stdout
+void common_fit_print(
+                         const char * path_model,
+                 llama_model_params * mparams,
+               llama_context_params * cparams);
+
+void common_memory_breakdown_print(const llama_context * ctx);
+
+struct common_device_memory_data {
+    int64_t total;
+    int64_t free;
+    size_t  model;
+    size_t  context;
+    size_t  compute;
+};
+
+using common_device_memory_data_vec = std::vector<common_device_memory_data>;
+
+// Load a model + context with no_alloc and return the per-device memory breakdown.
+common_device_memory_data_vec common_get_device_memory_data(
+                         const char * path_model,
+           const llama_model_params * mparams,
+         const llama_context_params * cparams,
+    std::vector<ggml_backend_dev_t> & devs,
+                           uint32_t & hp_ngl,
+                           uint32_t & hp_n_ctx_train,
+                           uint32_t & hp_n_expert,
+                     ggml_log_level   log_level);