Task: Train Multiple TensorFlow Models Sequentially in a GPU-Aware Script Without OOM Errors

Task: Train Multiple TensorFlow Models Sequentially in a GPU-Aware Script Without OOM Errors: a task in Terminal-Lego-15k (Harbor dataset). Create a Python script that trains multiple neural network models sequentially in a single script, properly managing GPU memory resources between model runs…

The task

Create a Python script that trains multiple neural network models sequentially in a single script, properly managing GPU memory resources between model runs to avoid Out-Of-Memory (OOM) errors. The solution must handle GPU memory allocation and deallocation correctly so that each model trains independently without…

Part of PrimeIntellect/Terminal-Lego-15k.