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docs/source/examples/basic_usage.rst
@@ -68,7 +68,7 @@ Perform the Jacobian descent backward pass:
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The first function will populate the ``.jac`` field of each model parameter with the corresponding
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Jacobian, and the second one will aggregate these Jacobians and store the result in the ``.grad``
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-field of the parameters. It also resets the ``.jac`` fields to ``None`` to save some memory.
+field of the parameters. It also deletes the ``.jac`` fields save some memory.
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Update each parameter based on its ``.grad`` field, using the ``optimizer``:
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