Open asterycs opened 7 months ago
Hello! I encountered a use case that errors with sparsehessian but not with hessian. Below is an MVE:
sparsehessian
hessian
using Symbolics function f(x, y) y[1] * x'*x + y[2] * x'*x end @variables x[1:10] y[1:2] H = Symbolics.hessian(f(collect(x), collect(y)), collect(x)) # H = Symbolics.sparsehessian(f(collect(x), collect(y)), collect(x)) # errors hfuns = Symbolics.build_function(H, collect(x), collect(y), expression = Val{false}()) @show hfuns[1](ones(10), [2.0, 3.0])
The error message is rather long but starts with:
ERROR: LoadError: Failed to apply rule (~f)(~x, ~y) => begin ... ... [40] top-level scope @ (...)/main.jl:10
Could this be a bug or is it perhaps a limitation of sparsehessian?
This looks like a bug.
Hello! I encountered a use case that errors with
sparsehessian
but not withhessian
. Below is an MVE:The error message is rather long but starts with:
Could this be a bug or is it perhaps a limitation of
sparsehessian
?