[mlir][linalg] Avoid emitting errors in block pack matmul (llvm#93170)

Tweaks linalg.generic verification in block pack matmul pass to avoid
using emitting errors which pollute stderr during operation matching.

Author: adam-smnk

mlir/lib/Dialect/Linalg/Transforms/BlockPackMatmul.cpp

@@ -244,8 +244,7 @@ struct BlockPackMatmul<linalg::GenericOp>
   LogicalResult matchAndRewrite(linalg::GenericOp linalgOp,
                                 PatternRewriter &rewriter) const override {
     // Match suitable generics.
-    if (failed(linalg::detail::verifyContractionInterface(
-            linalgOp.getOperation()))) {
+    if (!linalg::isaContractionOpInterface(linalgOp)) {
       return rewriter.notifyMatchFailure(linalgOp, "not a contraction");
     }
 

mlir/test/Dialect/Linalg/block-pack-matmul.mlir

@@ -476,3 +476,32 @@ func.func @block_generic_matmul_transpose_b(
 // CHECK-SAME:  inner_dims_pos = [0, 1] inner_tiles = [32, 16]
 // CHECK-SAME:  into %[[C]] : tensor<2x4x32x16xf32> -> tensor<64x64xf32>
 // CHECK: return %[[RES_UNPACKED]] : tensor<64x64xf32>
+
+// -----
+
+#map = affine_map<(d0, d1) -> (d0, d1)>
+
+func.func @non_contraction_generic(
+    %A: tensor<64x128xf32>) -> tensor<64x128xf32> {
+  %c0 = arith.constant 0.000000e+00 : f32
+  %0 = linalg.generic {indexing_maps = [#map], iterator_types = ["parallel", "parallel"]}
+    outs(%A : tensor<64x128xf32>) {
+  ^bb0(%out: f32):
+    %1 = arith.maximumf %out, %c0 : f32
+    linalg.yield %1 : f32
+  } -> tensor<64x128xf32>
+  return %0 : tensor<64x128xf32>
+}
+
+// CHECK-DAG: #[[$MAP:.+]] = affine_map<(d0, d1) -> (d0, d1)>
+
+// CHECK-LABEL: func @non_contraction_generic(
+// CHECK-SAME:    %[[A:[0-9a-z]+]]: tensor<64x128xf32>
+// CHECK-DAG: %[[C0:.+]] = arith.constant 0.000000e+00 : f32
+// CHECK-NOT: tensor.pack
+// CHECK: %[[GENERIC:.+]] = linalg.generic
+// CHECK-SAME:  indexing_maps = [#[[$MAP]]]
+// CHECK-SAME:  iterator_types = ["parallel", "parallel"]
+// CHECK-SAME:  outs(%[[A]] : tensor<64x128xf32>)
+// CHECK-NOT: tensor.unpack
+// CHECK: return %[[GENERIC]] : tensor<64x128xf32>