[AutoParallel] Support multi machine case for the visualize tool #59179
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Nov 28, 2023
…dlePaddle#59179) * merge from openvino master * add InterpreterRunTime() to record interpreter's run time * add profiler helper static to produce json file * add color map and support perfetto format * recover codes * control include env for gpu_timer.h * fix logic for profiler_helper_static.py * fix build error * fix build error * recover thirdparty * add flag control: not support new ir now * set auto_parallel_profiler flag to false * fix * add auto_parallel_profiler as command parameter * fix value name * support gettimeofday for win env * fix win build error * fix win build error * use job_type_to_id * Fixed repeatedly timing the same stream * add step line for timeline * add step timeline and fix logic when job overlap * update time record logic * fix bug when start profile start from none zero step * fix note * remove FLAGS_auto_parallel_profiler * use run config instead FLAGS_auto_parallelxx * fix color map logic * fix color map logic * fix bug when log step does not start from 0 * fix * fix * don't use set_enable_auto_parallel_profiler * fix bug * disable auto_parallel_profiler when not open flag by command line * fix bug * remove resettime * fix build bug * fix * remove set enable * fix build error * fix build error * fix build error * fix ci error * fix * fix run error * fix * fix * fix calculate_stream_timer logic * remove fluid head * fix build error * set default value for enable_job_schedule_profiler * support multi machine * fix load dir logic
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Description
PR #58313 中实现了静态图模式下可视化流水并行时序图，本 PR 为工具提供多机模式下的支持。
多机模式下需要用户手动将多台机器上的数据拷贝到一个目录下并按照如下格式组织，下面以一个2机2卡的测试环境举例。
log 文件夹结构：
运行时候添加
--multi_machine命令可视化效果如下：
依赖PR：