[Wait for #3118][PROFILE] Implement new feature for profiler #3114
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SeoHyungjun
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Add new macros for profiling memory mapping and annotation with execution order. - Added `PROFILE_MMAP` and `PROFILE_MUNMAP` macros to track memory mapping and unmapping events. - Added `PROFILE_MEM_ANNOTATE_START` and `PROFILE_MEM_ANNOTATE_END` macros to annotate memory events with execution order. - Updated `ProfileEventData` struct to include additional fields for execution order and index. - Modified `Profiler` class to handle the new events and annotations. Signed-off-by: SeoHyungjun <[email protected]>
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Modified to save memory load/unload time and execution order. Added functionality to record inference start/end times for neural networks. To visualize the timeline, the profile option must be enabled. Additionally, if you agree to create a log file during execution, a file named "visualization_log_%d-%02d-%02d_%02d-%02d.log" will be generated. This log file can be used for visualization. The timeline generated using Plotly is displayed in HTML format. ```console cd nntrainer/utils python3 timeline_visualization.py <file_path> ``` Signed-off-by: SeoHyungjun <[email protected]>
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Modified to save memory load/unload time and execution order.
Added functionality to record inference start/end times for neural networks.
To visualize the timeline, the profile option must be enabled.
Additionally, if you agree to create a log file during execution, a file named "visualization_log_%d-%02d-%02d_%02d-%02d.log" will be generated.
This log file can be used for visualization.The timeline generated using Plotly is displayed in HTML format.
Signed-off-by: SeoHyungjun [email protected]
Self evaluation: