how to free cuda memory pytorch

Описание: Download this code from https://codegive.com
Sure thing! Freeing CUDA memory in PyTorch is an important aspect to manage resources efficiently. Here's a step-by-step tutorial with code examples on how to do it:
First, let's create a tensor on the GPU to simulate the allocation of CUDA memory.
You can check the GPU memory usage using torch.cuda.memory_allocated().
To free the allocated CUDA memory, you can use the torch.cuda.empty_cache() function.
After freeing the CUDA memory, check the GPU memory usage again.
Remember to use these functions judiciously, especially in large-scale deep learning projects where managing GPU memory is crucial for performance and avoiding out-of-memory errors.
I hope this tutorial helps you effectively manage CUDA memory in your PyTorch projects!
ChatGPT