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JiatongBao / DRLSorting

Learn Multi-Step Object Sorting Tasks through Deep Reinforcement Learning
BSD 2-Clause "Simplified" License
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CUDA out of memory #2

Closed DucNguyenAIML closed 10 months ago

DucNguyenAIML commented 1 year ago

I run the trainning code and get the error: CUDA out of memory I've already check the Issues discussion in VPG by AndyZeng. However, the code instruction changed too much. Please help.

JiatongBao commented 1 year ago

@JackJrs Please provide specific hardware specifications.

In the case of using low-performance GPU, you could try to use PyTorch AMP ( Automatic Mixed Precision) to automatically handle mixed-precision training. AMP aims to improve the training speed and memory utilization while maintaining the desired model accuracy.

DucNguyenAIML commented 1 year ago

@JackJrs Please provide specific hardware specifications.

In the case of using low-performance GPU, you could try to use PyTorch AMP ( Automatic Mixed Precision) to automatically handle mixed-precision training. AMP aims to improve the training speed and memory utilization while maintaining the desired model accuracy.

Hi. Sorry for my late. Here are my hardware: CPU: Intel core i3-6100 CPU @ 3.70GHz (4 CPUs) Graphic card: NVIDIA GeForce GTX 1660

JiatongBao commented 1 year ago

@JackJrs The GTX 1660 is equipped with only 6 GB of GDDR5 memory. Maybe the current code cannot be directly run on this hardware setup.

We run the code with NVIDIA GTX 3090 which has 24 GB video memory.