Python OverflowError

[thomy800]

Hi

Issue summary

I trained an LSTM network without any problems. However if I load the network in Python 3.5.2 the following error occures:

Traceback (most recent call last):
File "../../evaluate.py", line 78, in
print(net.params['conv1'])
File "/caffe/python/caffe/pycaffe.py", line 67, in _Net_params
self._layer_names, self.layers)
File "/caffe/python/caffe/pycaffe.py", line 68, in
if len(lr.blobs) > 0])
OverflowError: cannot fit 'int' into an index-sized integer

Steps to reproduce

I trained several networks. Only the two networks using LSTM crash when accessing the data. I might provide the network and model if requested.

Tried solutions

Apparently the number returned from len is too big. Therefore I tried commenting if len(lr.blobs) > 0 but then a SegmentationFault occured.

I also tried this:
net = caffe.Net(args.model, args.weights, caffe.TEST) for name, lr in zip(net._layer_names, net.layers): print(name) try: print(' ',len(lr.blobs)) except: print(' ?')
which showed that the numbers for all my layers are in fact large and random. If I execute it multiple times the numbers varry.

System configuration

• Operating system: Ubuntu 16.04
• Compiler: GCC 5.4.0
• CUDA version (if applicable): 9.0
• CUDNN version (if applicable): v7.1
• Python version (if using pycaffe): 3.5.2

Cheers,
Thomy800

[thomy800]

In the meantime I figured out it does not relate to LSTM. The same script and model works on a different machine. Apparently it's connected with the caffe installation itself...

[Noiredd]

Could be useful if you printed those lengths so we could see what we're working with.

[ferrannoguera]

I have the same problem, did you manage to find a solution?

[JubilantJerry]

I got this error, and this link solved it for me at least:

#2437 (comment)

TL;DR rebuild your caffe