Protobuf failure

I’m occasionally getting an error of the following form:

 [libprotobuf FATAL google/protobuf/wire_format.cc:830] CHECK failed: (output->ByteCount()) == (expected_endpoint): : Protocol message serialized to a size different from what was originally expected.  Perhaps it was modified by another thread during serialization?
terminate called after throwing an instance of 'google::protobuf::FatalException'
  what():  CHECK failed: (output->ByteCount()) == (expected_endpoint): : Protocol message serialized to a size different from what was originally expected.  Perhaps it was modified by another thread during serialization?

Is this some underlying tensorboard issue, or due tensorboard-pytorch?

[jendrikjoe]

Hey @lanpa, sorry for the long silence. The tensorflow binning seems to solve the issue as well. 827MB are indeed a lot. But it was coming from the binning method. I don’t know why though maybe one of the methods called in auto has an issue with binning of lots of numbers close to zero. Not sure. If using the tensorflow binning the histogramms are around 1 MB 😃 Cheers,

Jendrik

[jendrikjoe]

Hey there @lanpa,

I think I tracked at least one possible root cause down. I get this exception whenever my events file explodes in size (around 827 MB). At the same time tensorboard itself crashes as well. For me the origin of this huge size where parameters which I stored as histograms using numpy and writer.add_histogram(name, param.data.cpu().numpy(), epoch, bins=“auto”) . This seems to cause problems when the distribution is really sharp around 0 (To strong weight decay). Changing it to bins=“doane”, solves it for me. I hope that helps some people to track down their problems as well 😃

Cheers,

Jendrik