[MLIR] Update MLIR tutorial to use LDBG() macro (#150763)

5 files changed, 9 insertions, 9 deletions

diff --git a/mlir/docs/Tutorials/Toy/Ch-4.md b/mlir/docs/Tutorials/Toy/Ch-4.md
index 1bba269..e9abe36 100644
--- a/mlir/docs/Tutorials/Toy/Ch-4.md
+++ b/mlir/docs/Tutorials/Toy/Ch-4.md
@@ -445,7 +445,7 @@ When processing an operation like described, we query if it registered the
 
 ```c++
   // Ask the operation to infer its output shapes.
-  LLVM_DEBUG(llvm::dbgs() << "Inferring shape for: " << *op << "\n");
+  LDBG() << "Inferring shape for: " << *op;
 
   /// We check if an operation has a particular interface by casting.
   if (ShapeInference shapeOp = dyn_cast<ShapeInference>(op)) {
diff --git a/mlir/examples/toy/Ch4/mlir/ShapeInferencePass.cpp b/mlir/examples/toy/Ch4/mlir/ShapeInferencePass.cpp
index 2522abe..a552e1f0 100644
--- a/mlir/examples/toy/Ch4/mlir/ShapeInferencePass.cpp
+++ b/mlir/examples/toy/Ch4/mlir/ShapeInferencePass.cpp
@@ -23,7 +23,7 @@
 #include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SmallPtrSet.h"
 #include "llvm/Support/Casting.h"
-#include "llvm/Support/Debug.h"
+#include "llvm/Support/DebugLog.h"
 #include "llvm/Support/raw_ostream.h"
 #include <memory>
 
@@ -81,7 +81,7 @@ struct ShapeInferencePass
       opWorklist.erase(op);
 
       // Ask the operation to infer its output shapes.
-      LLVM_DEBUG(llvm::dbgs() << "Inferring shape for: " << *op << "\n");
+      LDBG() << "Inferring shape for: " << *op;
       if (auto shapeOp = dyn_cast<ShapeInference>(op)) {
         shapeOp.inferShapes();
       } else {
diff --git a/mlir/examples/toy/Ch5/mlir/ShapeInferencePass.cpp b/mlir/examples/toy/Ch5/mlir/ShapeInferencePass.cpp
index 2522abe..a552e1f0 100644
--- a/mlir/examples/toy/Ch5/mlir/ShapeInferencePass.cpp
+++ b/mlir/examples/toy/Ch5/mlir/ShapeInferencePass.cpp
@@ -23,7 +23,7 @@
 #include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SmallPtrSet.h"
 #include "llvm/Support/Casting.h"
-#include "llvm/Support/Debug.h"
+#include "llvm/Support/DebugLog.h"
 #include "llvm/Support/raw_ostream.h"
 #include <memory>
 
@@ -81,7 +81,7 @@ struct ShapeInferencePass
       opWorklist.erase(op);
 
       // Ask the operation to infer its output shapes.
-      LLVM_DEBUG(llvm::dbgs() << "Inferring shape for: " << *op << "\n");
+      LDBG() << "Inferring shape for: " << *op;
       if (auto shapeOp = dyn_cast<ShapeInference>(op)) {
         shapeOp.inferShapes();
       } else {
diff --git a/mlir/examples/toy/Ch6/mlir/ShapeInferencePass.cpp b/mlir/examples/toy/Ch6/mlir/ShapeInferencePass.cpp
index 2522abe..a552e1f0 100644
--- a/mlir/examples/toy/Ch6/mlir/ShapeInferencePass.cpp
+++ b/mlir/examples/toy/Ch6/mlir/ShapeInferencePass.cpp
@@ -23,7 +23,7 @@
 #include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SmallPtrSet.h"
 #include "llvm/Support/Casting.h"
-#include "llvm/Support/Debug.h"
+#include "llvm/Support/DebugLog.h"
 #include "llvm/Support/raw_ostream.h"
 #include <memory>
 
@@ -81,7 +81,7 @@ struct ShapeInferencePass
       opWorklist.erase(op);
 
       // Ask the operation to infer its output shapes.
-      LLVM_DEBUG(llvm::dbgs() << "Inferring shape for: " << *op << "\n");
+      LDBG() << "Inferring shape for: " << *op;
       if (auto shapeOp = dyn_cast<ShapeInference>(op)) {
         shapeOp.inferShapes();
       } else {
diff --git a/mlir/examples/toy/Ch7/mlir/ShapeInferencePass.cpp b/mlir/examples/toy/Ch7/mlir/ShapeInferencePass.cpp
index 2522abe..a552e1f0 100644
--- a/mlir/examples/toy/Ch7/mlir/ShapeInferencePass.cpp
+++ b/mlir/examples/toy/Ch7/mlir/ShapeInferencePass.cpp
@@ -23,7 +23,7 @@
 #include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SmallPtrSet.h"
 #include "llvm/Support/Casting.h"
-#include "llvm/Support/Debug.h"
+#include "llvm/Support/DebugLog.h"
 #include "llvm/Support/raw_ostream.h"
 #include <memory>
 
@@ -81,7 +81,7 @@ struct ShapeInferencePass
       opWorklist.erase(op);
 
       // Ask the operation to infer its output shapes.
-      LLVM_DEBUG(llvm::dbgs() << "Inferring shape for: " << *op << "\n");
+      LDBG() << "Inferring shape for: " << *op;
       if (auto shapeOp = dyn_cast<ShapeInference>(op)) {
         shapeOp.inferShapes();
       } else {