GPU memory usage explosion during the training
Currently, GPU is A5000,24gb memory. I’m training About 1 million numerical data to model mainly composed with linear layers. At the first few iterations the memory usage is constant with 1.65GB, But at some point, the training stops, and raise cuda out of memory error. what can be the problem? below is my training code.
GPU memory usage explosion during the training
Currently, GPU is A5000,24gb memory. I’m training About 1 million numerical data to model mainly composed with linear layers. At the first few iterations the memory usage is constant with 1.65GB, But at some point, the training stops, and raise cuda out of memory error. what can be the problem? below is my training code.
GPU memory usage explosion during the training
Currently, GPU is A5000,24gb memory. I’m training About 1 million numerical data to model mainly composed with linear layers. At the first few iterations the memory usage is constant with 1.65GB, But at some point, the training stops, and raise cuda out of memory error. what can be the problem? below is my training code.
GPU memory usage explosion during the training
Currently, GPU is A5000,24gb memory. I’m training About 1 million numerical data to model mainly composed with linear layers. At the first few iterations the memory usage is constant with 1.65GB, But at some point, the training stops, and raise cuda out of memory error. what can be the problem? below is my training code.
How to train a DNN model with high-dimensional data
I have a deep neural network with three hidden layers, and I need to train it on a dataset with dimensions (2048 x 10^8). Training this model on my computer takes an excessively long time, potentially up to a month. Are there online platforms equipped with supercomputers that could expedite this training process? I have attempted to use Google Colab, but its performance has also been disappointingly slow.