tensorflow / tensorflow/models
Deeplab Loss is inf or nan RTX3090
Open
@aquariusjay is already working on this.
Since Feb 16, 2022.
models:research
type:bug
- Dominant language
- Python
- Stars
- 77.7k
- Forks
- 44.8k
- PR merge metrics
- No merged PRs in 30d
Description
1. Describe the bug
When I try to train a Deeplab model, I get Invalid argument: Loss is inf or nan. : Tensor had NaN values
[[{{node CheckNumerics}}]]. Training does not start.
This happens when I try it on a workstation with RTX 3090. I have tested the SAME environment on a GTX 1060 Windows and on a GTX 1070 ubuntu 18.04 and it works without any problem.
2. Expected behavior
Training should run as normal
3. System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04
- Mobile device name if the issue happens on a mobile device:
- TensorFlow installed from (source or binary): binary
- TensorFlow version (use command below): 1.15 GPU
- Python version: 3.7
- Bazel version (if compiling from source):
- GCC/Compiler version (if compiling from source):
- CUDA/cuDNN version: CUDA 10.0 (conda cudatoolkit)
- GPU model and memory: GTX 3090
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.