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Another question is that I have two configurations, before enable profiling
config A is 22.40 it/s , config B is 20.23 it/s
but after turn on the profiling with sess_options.enable_profiling = True
config A is 10.45 it/s, config B is 11.03 it/s
Since the total number operations is different, I'm not sure it affect performance measuring or not
config A is 56250 counts to measure
config B is 49800 counts to measure.
The text was updated successfully, but these errors were encountered:
When you profile a model, you should exclude the first iteration when aggregating the metrics. This one slower as it tries to do some optimization (allocations, ...)
Hi @xiaowuhu
Using the tool referred in https://onnxruntime.ai/docs/performance/tune-performance/profiling-tools.html
I measure stable diffusion with specify sess_options.enable_profiling = True
before add it . I get 22.40it/s, after enabling it . I just can achieve 10.45. performance degrading from 22.40 to 10.45.
Could it be improved ?
Following is measured data
Another question is that I have two configurations, before enable profiling
config A is 22.40 it/s , config B is 20.23 it/s
but after turn on the profiling with sess_options.enable_profiling = True
config A is 10.45 it/s, config B is 11.03 it/s
Since the total number operations is different, I'm not sure it affect performance measuring or not
config A is 56250 counts to measure
config B is 49800 counts to measure.
The text was updated successfully, but these errors were encountered: