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Describe the bug
GPU memory increases although input image size decreases in instance segmentation.
When I trained both instance segmentation model with 700x700 input size using wgisd-5 dataset,
GPU memory usage is higher than model with default input size.
When I trained a model using coco dataset, it didn't happen.
Steps to Reproduce
Train any instance segmentation models with default input size using wgisd-5 dataset.
Check GPU memory usage during training.
3.Train any instance segmentation models with 700x700 input size using wgisd-5 dataset.
Check GPU memory usage during training.
Compare two GPU memory usage
Environment:
OS: Linux Ubuntu 18.04
Framework version: torch 1.13.1
Python version: 3.10
OpenVINO version: 2022.3
CUDA/cuDNN version: 11.7
GPU model and memory: A100
The text was updated successfully, but these errors were encountered:
Describe the bug
GPU memory increases although input image size decreases in instance segmentation.
When I trained both instance segmentation model with 700x700 input size using wgisd-5 dataset,
GPU memory usage is higher than model with default input size.
When I trained a model using coco dataset, it didn't happen.
Steps to Reproduce
3.Train any instance segmentation models with 700x700 input size using wgisd-5 dataset.
Environment:
The text was updated successfully, but these errors were encountered: