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<span style="color:black;font-size:12pt;font-family:Calibri,Arial,Helvetica,sans-serif">Hi Lu,</span>
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(sending to the entire mailing list now)<br>
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Unfortunately, we don't currently have a tool for either combining multiple logs from a workflow into a single log file or analysis tools that work on sets of logs.
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We do have a utility called 'darshan-merge' that was written to help merge together Darshan logs for another use case, but I don't think it will work right for this case from some quick testing. I've opened an issue on our GitHub page (<a href="https://github.com/darshan-hpc/darshan/issues/401" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0">https://github.com/darshan-hpc/darshan/issues/401</a>)
to remind myself to see if I can rework this tool to be more helpful in cases like yours.</div>
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At some point, we'd like to offer some of our own analysis tools that are workflow aware and can summarize data from multiple Darshan logs. That's something that's going to take some time though, as we are just now starting to look at revamping some of our
analysis tools using the new PyDarshan interface to Darshan logs. BTW, PyDarshan might be something you could consider using if you wanted to come up with your own analysis tools for Darshan data, but that might be more work than you're looking for. In case
it's helpful, here's some documentation on PyDarshan: <a href="https://www.mcs.anl.gov/research/projects/darshan/docs/pydarshan/index.html" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="1">
https://www.mcs.anl.gov/research/projects/darshan/docs/pydarshan/index.html</a><br>
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Thanks,</div>
<span style="color:black;font-size:12pt;font-family:Calibri,Arial,Helvetica,sans-serif">--Shane</span><br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Darshan-users <darshan-users-bounces@lists.mcs.anl.gov> on behalf of Lu Weizheng <luweizheng36@hotmail.com><br>
<b>Sent:</b> Tuesday, June 15, 2021 3:43 AM<br>
<b>To:</b> darshan-users@lists.mcs.anl.gov <darshan-users@lists.mcs.anl.gov><br>
<b>Subject:</b> [Darshan-users] Using darshan to instrument PyTorch</font>
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Hi,</div>
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I am using darshan to instrument PyTorch on a local machine. My workload is an image classification problem on ImageNet dataset. When the training process ended, there are a lot of logs generated. Like:</div>
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u2020000_python_id4719_6-15-41351-17690910011763757569_1.darshan </div>
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u2020000_python_id5012_6-15-42860-17690910011763757569_1.darshan
<div>u2020000_python_id4721_6-15-41352-17690910011763757569_1.darshan </div>
<div>u2020000_uname_id4720_6-15-41351-17690910011763757569_1.darshan</div>
<div>u2020000_python_id4722_6-15-41352-17690910011763757569_1.darshan </div>
<div>u2020000_uname_id4723_6-15-41354-17690910011763757569_1.darshan</div>
u2020000_python_id4758_6-15-41830-17690910011763757569_1.darshan </div>
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u2020000_uname_id4724_6-15-41354-17690910011763757569_1.darshan</div>
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...</div>
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After using the darshan-util analysis tool for one of the above log file, it shows: I/O performance estimate (at the POSIX layer): transferred 7.5 MiB at 36.02 MiB/s</div>
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The transferred data showed in the PDF report is far less than the whole dataset size.<span style="color:rgb(0,0,0); font-family:Calibri,Arial,Helvetica,sans-serif; font-size:12pt">As PyTorch DataLoader is a multi-process program, I guess darshan generate every
log for every process. </span></div>
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My question is: how can I get the IO analysis for the whole PyTorch workload task instead of these process logs?</div>
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