Scott LeGrand

Also, what did the compilation failure look like once cuDNN's libraries and headers were in the right place? On Wed, Dec 28, 2016 at 7:19 PM, Scott Le Grand wrote:...

Where is your CUDA directory? Does /usr/local/cuda exist? On Fri, Jan 13, 2017 at 7:14 PM, LeiSheng wrote: > We are trying to install the dsstne on Ubuntu 14.04.5 LTS,...

You have an interesting case here. You have 1000 input features, of which an average of 256 are on for a given datapoint. I am guessing the sparse kernels here...

So since I don't have write access to the github repo, I'm attaching a short program to create DSSTNE-compatible data. Observations: 1. DSSTNE was designed for data density of 1%...

dparse.cpp and a slightly modified config_1000.json attached here. To build dparse, type: g++ -o dparse dparse.cpp -lnetcdf_c++4 -lnetcdf -lm -std=c++0x -L config_1000.json has been changed to use "input" and "output"...

Could you provide as small sample of what the dataset looked like?

Closing, reopen if there is still interest.

Wow, nice catch! That needs to be fixed. That's completely unacceptable. I'm going to ask the origin of this hack to understand how to address it conclusively. Let me reiterate...

You can fix this in about 2 minutes by adding "-gencode arch=compute_70,code=sm_70 " to lines 13 and 17 of src/amazon/dsstne/Makefile.inc We already ported to CUDA 9, the code is Volta-compatible,...

#include ought to do the trick... On Fri, Dec 15, 2017 at 7:16 PM, rajserc wrote: > Thanks. BTW, i tried to build the dockerfile and jsoncpp dependancy is not...