Fix naming of function

Updated unit test to be more concise

Updates based on Thomas' comments

Looks good overall! Thanks for getting this to work with warps!

Looks good! Thanks!

Thank you! :)

Updated based on Thomas' comments

Sounds good. I will change the condition to vectorType.getRank() <=1

Added unit test

Updated based on second round of comments

Updated based on Thomas' comments

@aartbik - based on discussions with @ThomasRaoux , we felt it made more sense to do a vector to vector conversion instead of going directly to llvm. I have added the patch here along with some tests. Please take a look and let me know what you think. Thanks!

Added lowering to arith ops, tests and integration tests.

Updated patch based on Thomas' comments.

In D117171#3252772, @aartbik wrote:

In D117171#3245189, @harsh wrote:

Having defined this op, we needed to find a way to lower this to the gpu dialect and thought that the jump
from the linalg_ext abstraction to the gpu abstraction would be too large. Thus, we decided on creating a vector.scan op which would provide a more progressive lowering. The plan is to
first add a lowering to the gpu dialect (where the scan would be lowered to gpu.shuffle ops) that is performant and then provide a cpu lowering. Would love to hear any thoughts
you have on this and any ideas on how we could do this better.

For most vector ops, we have an actual lowering to LLVM IR, just so we can run integration test on the new functionality. This also acts as extra "documentation" on what the op does.
This first lowering does not need to be super efficient, but if you see chance to add the lowering to this or a follow up CL, that would make the intended use of this op more clear to me.

Hi Aart,

Added explicit type annotations as per comments.

Thanks and feel free to merge because I don't have merge priveleges.

Address comments and linting errors

@ThomasRaoux - yes I just uploaded it.

Fixed as per comments

Thanks @ThomasRaoux , @asaadaldien , @nicolasvasilache for the comments. @nicolasvasilache I have modified the patch as per your changes but kept the current patch to just handle moving reductions to the inner most dimensions. I will put up another patch to handle moving reductions to the outermost dimensions and based on the performance of inner vs outer, we can decide which path we want to take.

Fixed lint changes

Add support for fpext, fptrunc and trunci

Updated commit message

Added support for more casting ops

Apologies I was just attempting to cherry pick someone else's change and am new to arcanist.