[NLPL Task Force (A)] CNN slow-dow

[Andrei Kutuzov]

Note also that the fast nlpl-pytorch/0.4.1 environment has Numpy 1.15.1,
while both slow environments have Numpy 1.16.1.
Can be of importance as well.

On 3/26/19 4:25 PM, Andrei Kutuzov wrote:
> I checked, and it doesn't depend on the Python version: Pytorch 1.0 runs
> equally slow on both Python 3.5 and Python 3.7
> Pytorch 0.4.1 runs on Python 3.5, and it is fast.
> 
> 
> 
> On 3/26/19 4:21 PM, Vinit Ravishankar wrote:
>> Here’s a super tiny bit of code that just runs the same convolutional layer on the same input 10ish times.
>>
>> – Vinit
>>
>>> On 26 Mar 2019, at 15:58, Stephan Oepen <oe at ifi.uio.no> wrote:
>>>
>>> do you guys have a ready-to-run code snippet and some instructions on
>>> how to replicate the problem of unduly slow CNN performance in our
>>> newest PyTorch installation?  also, could you quickly summarize the
>>> results of benchmarking you have done so far?
>>>
>>> NLPL has three PyTorch modules:
>>>
>>> nlpl-pytorch/0.4.1
>>> nlpl-pytorch/1.0.0/3.5
>>> nlpl-pytorch/1.0.0/3.7
>>>
>>> it actually could be very nice to work towards a set of standard
>>> benchmarks, e.g. one each for a simple deep MLP, CNN, and RNN?
>>>
>>> cheers, oe
> 
> 


-- 
Andrei
PhD Candidate at Language Technology Group (LTG)
University of Oslo