[Mlir-commits] [mlir] [mlir][xegpu] Add initial skeleton implementation for lowering ConvertLayoutOp (PR #146176)

[Chao Chen]

================
@@ -500,3 +500,41 @@ gpu.module @test_kernel   {
     gpu.return
   }
 }
+
+// -----
+#a = #xegpu.layout<inst_data = [8, 16], lane_layout = [1, 16], lane_data = [8, 1]>
+#b = #xegpu.layout<inst_data = [16, 16], lane_layout = [1, 16], lane_data = [16, 1]>
+#c = #xegpu.layout<inst_data = [8, 16], lane_layout = [1, 16], lane_data = [8, 1]>
+
+gpu.module @test_kernel {
+  //CHECK-LABEL: gpu.func @convert_layout
+  //CHECK-SAME: [[arg0:%.+]]: memref<16x16xf16>, [[arg1:%.+]]: memref<16x16xf16>, [[arg2:%.+]]: memref<16x16xf32>
+  //CHECK: [[c8:%.+]] = arith.constant 8 : index
+  //CHECK: [[c0:%.+]] = arith.constant 0 : index
+  //CHECK: [[a:%.+]] = xegpu.create_nd_tdesc [[arg0]][[[c0]], [[c0]]] : memref<16x16xf16> -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>>
+  //CHECK: [[b:%.+]] = xegpu.create_nd_tdesc [[arg1]][[[c0]], [[c0]]] : memref<16x16xf16> -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>>
+  //CHECK: [[load_a:%.+]] = xegpu.load_nd [[a]]  {layout_result_0 = #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>} : !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>> -> vector<16x16xf16>
+  //CHECK: [[load_b:%.+]] = xegpu.load_nd [[b]]  {layout_result_0 = #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>} : !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>> -> vector<16x16xf16>
+  //CHECK: [[cvt:%.+]] = xegpu.convert_layout [[load_a]] <{input_layout = #xegpu.layout<lane_layout = [1, 16], lane_data = [16, 1]>, target_layout = #xegpu.layout<lane_layout = [1, 16], lane_data = [8, 1]>}> : vector<16x16xf16>
----------------
chencha3 wrote:

they are actually different, the input is [16, 1], and the output is [8, 1] for lane_data.

https://github.com/llvm/llvm-project/pull/146176