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src/torchjd/autojac/_backward.py
@@ -14,7 +14,7 @@ def backward(
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) -> None:
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r"""
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Computes the Jacobians of all values in ``tensors`` with respect to all ``inputs`` and
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- accumulates them in the `.jac` fields of the `inputs`.
+ accumulates them in the ``.jac`` fields of the ``inputs``.
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:param tensors: The tensor or tensors to differentiate. Should be non-empty. The Jacobians will
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have one row for each value of each of these tensors.
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