OpenVINO BK fallback to Llama.CPP CPU BK

[zhaixuejun1993]

Enabling the OpenVINO backend fallback to Llama.cpp CPU backend mechanisms.

Below is a summary of the main process:

1. Dynamic Dimension Computation
Function: compute_cgraph_dynamic_dims()
Purpose: Determines the dynamic dimensions for each node in the computation graph. This is essential for handling nodes with variable shapes during runtime.
Process:
Traverses the computation graph.
Assigns dynamic dimension indices to nodes based on their operation type and dependencies.
Handles specific operations like [GGML_OP_VIEW], [GGML_OP_RESHAPE], and others to propagate dynamic dimensions.

2. Adding Extra Model Outputs
Function: add_extra_model_outputs_for_fallback()
Purpose: Ensures that all relevant nodes in the computation graph are included as model outputs for fallback scenarios.
Process:
Maps tensor data addresses to their corresponding nodes, excluding [GGML_OP_VIEW] nodes.
Adds nodes to the [m_model_outputs] map if they are not already present.

3. Adding Extra Model Inputs
Function: add_extra_model_inputs_for_fallback()
Purpose: Ensures that all necessary input nodes are included as model inputs for fallback scenarios.
Process:
Iterates through the source nodes of each computation graph node.
Skips nodes already in [m_model_weights] or [m_model_inputs].
Excludes intermediate nodes from [m_node_info_list].
Creates OpenVINO parameter nodes for eligible source nodes and updates the [m_inputs] and [m_model_inputs] maps.

For example:

1. here is the split results from Llama.cpp with OpenVINO Backend (ROPE unsupport). For the sub-graph run on OpenVINO backend, which needs add new inputs and outputs node for the continue sub-graph execute.