Unveiling the Inner Workings of PyTorch: Exploring Built-in Function Source Code

Here are some additional things to keep in mind:

• Resources like blog posts and tutorials can offer explanations for specific functionalities within PyTorch, even if the exact source code isn't available.
• If your goal is to understand how PyTorch works or contribute to the project, exploring the source code (especially with methods 1 and 2) can be beneficial.

import torch
import inspect

def my_func(x):
  # Some operations on x
  return x * 2

# Get source code (limited output for built-in functions)
source_code = inspect.getsource(torch.nn.functional.relu)
print(source_code)

This code snippet attempts to get the source code for the relu function from PyTorch's functional module. However, since relu is likely implemented in C++, inspect.getsource might not return the entire implementation details.

Browsing the PyTorch Documentation (Limited Source Code):

PyTorch documentation serves as a good starting point to understand function functionalities. While it might not provide the complete source code, it often includes explanations and usage examples.

Refer to PyTorch documentation for functionalities you're interested in: pytorch docs: pytorch.org