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Hello, I would like to use the functions generated by SymbolicUtils.Code for CuArray computations, but due to a limitation in CUDA.jl, scalar index operations are not allowed. However, @view can be used. In the functions generated by SymbolicUtils.Code, the DestructuredArgs type is used to accept function arguments and assign values. During this assignment process, the data is directly extracted using indexing rather than with @view, which makes it incompatible with CuArray computations. Therefore, I would like to add an option to extract the values of DestructuredArgs using @view in order to make it work with CuArray.
The text was updated successfully, but these errors were encountered:
Hello, I would like to use the functions generated by
SymbolicUtils.Code
forCuArray
computations, but due to a limitation inCUDA.jl
, scalar index operations are not allowed. However,@view
can be used. In the functions generated bySymbolicUtils.Code
, theDestructuredArgs
type is used to accept function arguments and assign values. During this assignment process, the data is directly extracted using indexing rather than with@view
, which makes it incompatible withCuArray
computations. Therefore, I would like to add an option to extract the values ofDestructuredArgs
using@view
in order to make it work withCuArray
.The text was updated successfully, but these errors were encountered: