Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

Count Sketch Backward, CUDA Memcheck failures #15284

Open
anirudh2290 opened this issue Jun 20, 2019 · 2 comments
Open

Count Sketch Backward, CUDA Memcheck failures #15284

anirudh2290 opened this issue Jun 20, 2019 · 2 comments

Comments

@anirudh2290
Copy link
Member

anirudh2290 commented Jun 20, 2019

Description

There are cuda memcheck failures for count sketch backward that need to be addressed. There is an invalid read of size 4 bytes that need to be fixed for count sketch backward.
I fixed by adding an index bound on nthreads but that causes a new issue.
The backward pass of this OP needs to be fixed.
This was again encountered during #15118

Environment info (Required)

What to do:
1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
2. Run the script using `python diagnose.py` and paste its output here.

Package used (Python/R/Scala/Julia):
(I'm using ...)

For Scala user, please provide:

  1. Java version: (java -version)
  2. Maven version: (mvn -version)
  3. Scala runtime if applicable: (scala -version)

For R user, please provide R sessionInfo():

Build info (Required if built from source)

Compiler (gcc/clang/mingw/visual studio):

MXNet commit hash:
(Paste the output of git rev-parse HEAD here.)

Build config:
(Paste the content of config.mk, or the build command.)

Error Message:

(Paste the complete error message, including stack trace.)

Minimum reproducible example

(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)

Steps to reproduce

(Paste the commands you ran that produced the error.)

What have you tried to solve it?

@mxnet-label-bot
Copy link
Contributor

Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so that the appropriate MXNet community members can help resolve it.
Here are my recommended labels: Cuda, Bug

@leleamol
Copy link
Contributor

@mxnet-label-bot add [Cuda, Bug]

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Projects
None yet
Development

No branches or pull requests

4 participants