tensorflow / tensorflow/models
GPU Out of memory error from commit 451906e4e82f19712455066c1b27e2a6ba71b1dd
@pkulzc is already working on this.
Since Jun 1, 2020.
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Description
Prerequisites
Please answer the following questions for yourself before submitting an issue.
- I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- I am reporting the issue to the correct repository. (Model Garden official or research directory)
- I checked to make sure that this issue has not already been filed.
1. The entire URL of the file you are using
https://github.com/tensorflow/models/blob/master/research/object_detection/model_main.py
2. Describe the bug
I tried doing transfer learning on Faster-RCNN-resnet101-coco. Execution reaches till Step 0 and then crashes due to out of memory. This has started after below commit:
451906e4e82f19712455066c1b27e2a6ba71b1dd
All commits before this didn't give this error. Looks like some issue with tfslim.
3. Steps to reproduce
Checkout later master branch. Attempt transfer learning on Faster-RCNN-Resnet101-COCO.
4. Expected behavior
Transfer learning steps happening successfully.
5. Additional context
Out of memory error.
6. System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04
- Mobile device name if the issue happens on a mobile device: NA
- TensorFlow installed from (source or binary): Google Colab preinstalled.
- TensorFlow version (use command below): v1.15.2-0-g5d80e1e8e6 1.15.2
- Python version: 3.6.9
- Bazel version (if compiling from source):
- GCC/Compiler version (if compiling from source):
- CUDA/cuDNN version: 10.0
- GPU model and memory: GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5), 12GB
Environment:
tf_env.txt
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Assessment
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