I am translating my CPU code to GPU. One of the things I did in CPU is to apply `map`

to a `Vector{Matrix{Real}}`

data for row-wise operations. For instance:

```
julia> aa = [[1. 2. 3.],
[4. 5. 6.]]
2-element Vector{Matrix{Float64}}:
[1.0 2.0 3.0]
[4.0 5.0 6.0]
julia> map(x->sum(x), aa)
2-element Vector{Float64}:
6.0
15.0
```

. However, Cuda does not take `Vector{Matrix{..}}`

type of arrays. I am wondering whether there are ways to work around the issue and allow me to use `map`

for row-wise operations.

I know I can use `sum(aa, dims=2)`

in Cuda instead of `map`

to get the same result, but the `sum`

in the above MWE is really just an example for illustrative purposes. In my real work, it’s more like `map(x -> myfun(x), aa)`

, where `myfun()`

takes in a vector and returns a scalar, and I want to apply it to every row of `aa`

.

Thanks in advance.