Comments (1)
same problem as #473?
from clad.
Related Issues (20)
- Impossible to provide custom pushforwards for functions that use functors
- Extend custom derivatives functionality to facilitate custom `_forw` functions. HOT 1
- Simplify generated code by eliminating zero terms to make it more readable HOT 1
- Support for default arguments HOT 3
- Redesign of the product differentiation in the reverse mode
- Differentiating a range-based for loop with a single-stmt body leads to incorrect tape pushes HOT 1
- Unnecessary warning when differentiating a function that mutates its array arg
- Call to `clad::gradient` for CUDA kernels cannot be compiled for GPU HOT 5
- Template custom derivatives do not get selected by overload resolution due to lost type conversions in `ImplicitCastExpr` nodes
- Adjoints of class-type arguments are not updated in function call differentiation
- Differentiating increment inside the if body fails with TBR on
- Clad is not building the nested name qualifiers correctly
- Avoid modifying existing classes by inserting methods for pushforwards/pullbacks
- Change lambda function differentiation to produce valid source code and work with lambda functions with captures (fwd mode)
- Change lambda function differentiation to produce valid source code and work with lambda functions with captures (reverse mode)
- Clarifications about peruse of local variables. HOT 2
- Providing a custom `constructor_reverse_forw` only for one signature results into other signatures crashing
- Clad fails to use proper pullbacks for functions with reference arguments
- Clad generates noncompilable code for STL containers (and constructors in general) in the reverse mode
- Clad breaks when using some `std::vector` constructors in the reverse mode HOT 3
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from clad.