[Mlir-commits] [mlir] [MLIR][XeGPU] Remove the transpose attribte from Gather/Scatter ops and Cleanup the documents (PR #145389)

[Chao Chen]

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@@ -609,19 +572,13 @@ def XeGPU_LoadGatherOp : XeGPU_Op<"load", [
   let description = [{ It (aka. load) load data per each work-item. The output
     describes the data being loaded at the subgroup level, so its size is
     consistent with the number of work-items in a subgroup. When the chunk size
-    is larger than 2, the output vector is a 2D vector, with dim-1 correspoding
-    to work-items, and dim-0 corresponding to the chunk size loaded by each work-item.
-    Specially, there is a transpose effect on the result (as compared to the TensorDesc)
-    due to the hardware implementation. Therefore, a transpose attribute is introduced
-    on purpose, making sure users are aware of this implicit transformation.
-
+    is larger than 2, the output vector is a 2D vector, with dim-0 correspoding
+    to work-items, and dim-1 corresponding to the chunk size loaded by each work-item.
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chencha3 wrote:

There is no transpose. The semantic is each row corresponding to a lane. In the SIMD lowering pipeline, the transpose will be added when we lower the `load_gather` to the corresponding intrinsic. For SIMT lowering, there is no transpose at all. 

https://github.com/llvm/llvm-project/pull/145389