Torch + Pyodide

Load example: -- custom -- basic_ops.py no_grad.py linear_model.py training_sgd.py custom_module.py

x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True) y = torch.tensor([4.0, 5.0, 6.0], requires_grad=True) z = (x * y).sum() z.backward() print("x.grad:", x.grad) print("y.grad:", y.grad)

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Output: