cann: refactor ACL graph cache

[wangweixuan]

For CANN backend: This PR refactors the LRU cache responsible for mapping GGML graph properties to CANN graphs. We have reorganized the graph property-related code from the lengthy ggml-cann.cpp file into dedicated structures ggml_graph_node_properties, ggml_cann_graph, and ggml_cann_graph_lru_cache.

This change aims to improve code clarity by separating concerns. There are no functional changes. The code has been formatted with clang-format.

CC @noemotiovon

[noemotiovon]

@TianHao324 , could you help test its actual performance on qwen2.5b–0.5b?
Also, please include the actual test results.

[TianHao324]

@TianHao324 , could you help test its actual performance on qwen2.5b–0.5b? Also, please include the actual test results.

test result:

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llama_perf_sampler_print:    sampling time =      22.67 ms /   110 runs   (    0.21 ms per token,  4852.87 tokens per second)
llama_perf_context_print:        load time =    1698.58 ms
llama_perf_context_print: prompt eval time =      16.20 ms /    21 tokens (    0.77 ms per token,  1296.22 tokens per second)
llama_perf_context_print:        eval time =    1048.04 ms /    88 runs   (   11.91 ms per token,    83.97 tokens per second)
llama_perf_context_print:       total time =    2343.02 ms /   109 tokens
llama_perf_context_print:    graphs reused =         85