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PyTorch originally utilized an eager execution mode, which operates in a dynamic, or “define-by-run,” paradigm. This is the main operational mode in PyTorch. More recently, PyTorch has introduced a graph mode, or “define-and-run,” paradigm. This is mainly handled by PyTorch’s JIT (Just-In-Time) compiler, through TorchScript. In other words, eager mode allows for more Pythonic and
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A backtrace is a summary of how a program got to a certain point. It’s often used in debugging to figure out what sequence of function calls and events led to a particular error or crash. The backtrace provides a list of function calls that are currently active in a thread. Here’s a simplified example: