Comments (2)
vgvassilev
commented on June 19, 2024
We support them now, but we have to figure out a 'proper' interface:
Either we do
clad::differentiate(f, 0, 1); // Enumerating the independent variable, i.e first with respect to first arg and then the second
or
clad::differentiate_mixed(f, 0, 1);
or something better.
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vgvassilev
commented on June 19, 2024
That is implemented. The interface for the higher order derivative is:
clad::differentiate<N>(f,/*wrt*/ 0);And for the mixed derivatives:
clad::differentiate(f, /*wrt*/0);
clad::differentiate(f_darg0, /*wrt*/1);from clad.
Related Issues (20)
- Custom derivatives are not detected and used correctly when namespaces are present.
- Add custom derivatives for all math and other std:: builtin functions
- Add a target for verifying only `CHECK-EXEC` in tests
- Missing derivative with globals / variables of static storage duration HOT 5
- Non-compilable code output for division operation in reverse mode
- Incorrect gradient computation for non-zeroed derivatives HOT 4
- Regression in support of functions with unknown definition HOT 4
- Incorrect gradient for if-conditions with side-effects
- Non-differentiable attribute not being applied to nested classes
- Add support for differentiating the null (empty) statement `;`
- Two functions HOT 9
- Incorrect type of zero returned in VisitCallExpr HOT 1
- Add support for the logical negation operator in conditions (forward mode)
- Add support for comparison operators with differentiable substatements in for loop conditions (forward mode)
- Incorrect derivative for while-loops with declarations and assignments in forward mode
- Incorrect derivative for if-statements with assignments in forward mode HOT 5
- Trying to differentiate an operator in reverse mode fails. HOT 1
- Regression in `clad` master in dealing with templated functions HOT 2
- Regression in Clad when dealing with loops HOT 6
- Model the source locations pointing to the primal function
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