[tpp-run] Print IR options

test/Integration/tpp-run-print-ir.mlir

@@ -0,0 +1,17 @@
+// RUN: tpp-run %s -e entry -entry-point-result=void -mlir-print-ir-before=bufferize 2>&1 | FileCheck %s --check-prefix=BEFORE
+// RUN: tpp-run %s -e entry -entry-point-result=void -mlir-print-ir-after=bufferize 2>&1 | FileCheck %s --check-prefix=AFTER
+
+func.func @entry(%arg0: tensor<128x512xf32>, %arg1: tensor<512x256xf32>, %arg2: tensor<128x256xf32>) 
+  -> tensor<128x256xf32> {
+  %0 = linalg.matmul ins(%arg0, %arg1: tensor<128x512xf32>, tensor<512x256xf32>)
+    outs(%arg2: tensor<128x256xf32>) -> tensor<128x256xf32>
+  return %0 : tensor<128x256xf32>
+}
+
+// BEFORE: IR Dump Before Bufferize (bufferize)
+// BEFORE-LABEL: @_entry(
+// BEFORE: linalg.batch_reduce_matmul{{.*}}tensor<
+
+// AFTER: IR Dump After Bufferize (bufferize)
+// AFTER-LABEL: @_entry(
+// AFTER: linalg.batch_reduce_matmul{{.*}}memref<

tools/tpp-run/tpp-run.cpp

@@ -158,6 +158,10 @@ static LogicalResult prepareMLIRKernel(Operation *op,
   // A set of default passes that lower any input IR to LLVM
   PassManager passManager(module.getContext());
 
+  // Propagate pass manager's command-line options.
+  if (failed(applyPassManagerCLOptions(passManager)))
+    return failure();
+
   tpp::TppRunnerWrapperOptions wrapperOpts;
   wrapperOpts.kernelName = options.mainFuncName;
   wrapperOpts.kernelType = options.mainFuncType;
@@ -275,6 +279,11 @@ int main(int argc, char **argv) {
   // Initialize GPU-related LLVM machinery
   tpp::initializeGpuTargets();
 
+  // Register all passes to expose them for debugging
+  mlir::registerAllPasses();
+  mlir::tpp::registerTppCompilerPasses();
+  mlir::tpp::registerTppPassBundlePasses();
+
   // Add the following to include *all* MLIR Core dialects, or selectively
   // include what you need like above. You only need to register dialects that
   // will be *parsed* by the tool, not the one generated
@@ -288,6 +297,10 @@ int main(int argc, char **argv) {
   mlir::linalg::registerTransformDialectExtension(registry);
   mlir::tensor::registerTransformDialectExtension(registry);
 
+  // Add pass manager CLI debug options - exposes IR printing capabilities
+  // same as in opt tool
+  mlir::registerPassManagerCLOptions();
+
   // This is how we integrate with the pipeline
   JitRunnerConfig config;
   config.mlirTransformer = prepareMLIRKernel;