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vgvassilev
clad -- automatic differentiation for C/C++
differentiating functions containing std::initializer_list shows the "Not supported" warning and throws error. ```c int fn(int x) { int res = 0; auto &&range = {1, 2, 3}; for (auto i...
The current implementation of the loop's body in the reverse pass of the Reverse mode is not very clear. Consider this example: ``` double fn(double u, double v) { double...
Hi, Can I use std::array to hold data that is accessed by functions that are differentiated? ```c++ double f(double x, double y) { double a[2]; a[0] = 5; a[1] =...
Clad internally generates `pushforward` functions for differentiating function calls in forward mode AD. However, `clad::differentiate`, the user-interface for forward mode AD, generates a more restricted form of `pushforward` function which...
@parth-07 Referring to #734 According to my understanding when a reference variable is initialized with pointer dereference, the `clad::gradient` function creates a new adjoint variable for the given reference variable...
Clad generates an incorrect gradient code when a reference variable is initialized with a pointer deference. Reproducible example: ```cpp #include "clad/Differentiator/Differentiator.h" #include #define show(x) std::cout
Since the clang versions supported by clad require for older versions of CUDA, which are not supported by newer versions of an OS, being able to develop through a PR...
There appears to be an issue with clad build on osx version 13 using llvm 11 , as seen in https://github.com/vgvassilev/clad/actions/runs/8209849513/job/22456183203 The error which occurs is ``` In file included...
To know all possible L-values of the LHS of an assignment operation in the reverse mode, we call ``utils::GetInnermostReturnExpr``. We use it to know the variables that we should store...
Clad builds a gradient with a specific signature. It also allows that gradient function signature to be forward-declared. However if both mismatch there are subtle crashes in CodeGen. We should...
