Jun Shi
Jun Shi
The threads are started sequentially, but they run in parallel. I don't know if there is any loss in the speed. But I am happy to take a look at...
It may be related to UTF-8 encoding. We are not able to duplicate the error, but multiple users reported this issue.
I tested on Ubuntu 14.04 with scala-2.10.6 and spark 1.6.0, it worked. then I saw problems with a python test with scala-2.11.7 and spark 2.0.0, not the same problem as...
It looks like you had problems with python, which failed caffe compilation. Were you able to compile BVLC caffe? Your python setting may not be correct. The proto error later...
what do you get from "protoc --version"? It looks like your protobuf version is incorrect.
I wonder if you built it with 2.6 previously. Maybe you can do a "make clean" or "mvn clean" to start a clean build.
maven issue, same as https://github.com/yahoo/CaffeOnSpark/issues/124
It is hard to say where the problem is with the limited information provided here. If you can run the examples in the README file, then your setup is likely...
I am not aware of any conflict with spark-mllib. Your error seems to suggest spark was not able to find the spark-tfrecord jar file.
We have not tested it on Spark v3.3. It worked for v3.2. My guess is it will work, please give it a try.