fix failed test

Author: Hsiangkai

mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp

@@ -3497,10 +3497,14 @@ DiagnosedSilenceableFailure transform::WinogradConv2DOp::applyToOne(
                          return true;
                        })
                        .Default([&](Operation *op) {
-                         op->emitError("not supported");
                          return false;
                        });
 
+  if (!supported) {
+    return emitSilenceableError()
+           << "this operation is not supported to convert to Winograd Conv2D";
+  }
+
   if (supported && failed(maybeTransformed)) {
     return emitSilenceableError() << "apply Winograd Conv2D failed";
   }

mlir/test/Dialect/Linalg/transform-winograd-conv2d.mlir

@@ -46,14 +46,14 @@ module attributes {transform.with_named_sequence} {
 // -----
 
 func.func @conv2d_unsupported(%arg0: tensor<2x10x10x5xf32>, %arg1: tensor<3x3x5x2xf32>, %arg2: tensor<1xf32>, %arg3: tensor<2x8x8x2xf32>) -> tensor<2x8x8x2xf32> {
-  // expected-error @+1 {{not supported}}
   %0 = linalg.conv_2d_nhwc_hwcf {dilations = dense<1> : tensor<2xi64>, strides = dense<1> : tensor<2xi64>} ins(%arg0, %arg1 : tensor<2x10x10x5xf32>, tensor<3x3x5x2xf32>) outs(%arg3 : tensor<2x8x8x2xf32>) -> tensor<2x8x8x2xf32>
   return %0 : tensor<2x8x8x2xf32>
 }
 
 module attributes {transform.with_named_sequence} {
   transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
     %0 = transform.structured.match ops{["linalg.conv_2d_nhwc_hwcf"]} in %arg1 : (!transform.any_op) -> !transform.any_op
+    // expected-error @+1 {{this operation is not supported to convert to Winograd Conv2D}}
     %1 = transform.structured.winograd_conv2d %0 { m = 4, r = 3 } : (!transform.any_op) -> (!transform.any_op)
     transform.yield
   }