endernewton/tf-faster-rcnn

CUB reduce errorinvalid device function

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#250 opened on Nov 27, 2017

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help wanted

Description

InternalError (see above for traceback): CUB reduce errorinvalid device function [[Node: gradients/vgg_16_2/dropout7/dropout/div_grad/Sum_1 = Sum[T=DT_FLOAT, Tidx=DT_INT32, keep_dims=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](gradients/vgg_16_2/dropout7/dropout/div_grad/mul, ConstantFolding/gradients/LOSS_default/mul_6_grad/BroadcastGradientArgs-1)]]

Command exited with non-zero status 1 17.37user 7.49system 0:17.64elapsed 140%CPU (0avgtext+0avgdata 3487244maxresident)k

Contributor guide

Tech stack
python
Domain
machine learning
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
TensorFlowGPUCUB
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
Investigate the CUB reduce error. Likely due to incompatible CUDA or CUB versions. Check the TensorFlow installation and GPU driver. Look for similar issues in the repository or TensorFlow forums.