How can I check GPU usage in PyTorch?
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How can I check GPU usage in PyTorch?
You can check GPU usage in PyTorch using the torch.cuda module. For example, you can use torch.cuda.memory_allocated() to see the memory allocated on the GPU.
What about monitoring GPU utilization percentage?
To monitor GPU utilization percentage, you can use the nvidia-smi command in your terminal. It provides real-time stats on GPU usage.
Is there a way to visualize GPU memory usage during training?
Yes, you can use libraries like Matplotlib to plot GPU memory usage over time by logging the memory stats during training.
Can I set a limit on GPU memory usage in PyTorch?
Yes, you can set a limit on GPU memory usage by using torch.cuda.set_per_process_memory_fraction(fraction) to control how much memory your process can use.
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