<component name="ProjectModuleManager">
    <modules>
      <module fileurl="file://$PROJECT_DIR$/root.iml" filepath="$PROJECT_DIR$/root.iml"/>
      <module fileurl="file://$PROJECT_DIR$/api/api.iml" filepath="$PROJECT_DIR$/api/api.iml"/>
      <module fileurl="file://$PROJECT_DIR$/webservice/webservice.iml" filepath="$PROJECT_DIR$/webservice/webservice.iml"/>
    </modules>
  </component>

    <modules>
      <module fileurl="file://$PROJECT_DIR$/../top-level.iml" filepath="$PROJECT_DIR$/../top-level.iml"/>
      <module fileurl="file://$PROJECT_DIR$/root.iml" filepath="$PROJECT_DIR$/root.iml"/>
      <module fileurl="file://$PROJECT_DIR$/../a child project/a_child.iml" filepath="$PROJECT_DIR$/../a child project/a_child.iml"/>
    </modules>
  </component>

  // Unfuse mhlo BatchNorm to primitive ops.
  pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createUnfuseBatchNormPass());
  // Fuse Conv + Mul to Conv.
  pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createFuseConvolutionPass());
  // Fold broadcast_in_dim + Mul.
  pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createFoldBroadcastPass());
  pm.addNestedPass<mlir::func::FuncOp>(

// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-partitioned-calls=true | FileCheck %s --check-prefix=CHECK-SKIP
// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-partitioned-calls=false | FileCheck %s --check-prefix=CHECK-NOSKIP

module {
  func.func @partitioned_call(%arg0: tensor<1x2x2x3xf32>) -> (tensor<1x2x2x3xf32>) {
    %0 = "tf.StatefulPartitionedCall"(%arg0) <{
      config = "", config_proto = "", executor_type = "", f = @some_func
    }> {

#include "mlir/Pass/Pass.h"  // from @llvm-project

namespace mlir {
namespace odml {

// Creates a pass which prints out a detailed report of conversion stats with:
// success or not, % of Ops non-converted, list of non-converted Ops, etc.
std::unique_ptr<Pass> createPrintOpStatsPass(
    std::vector<std::string> accepted_dialects);

}  // namespace odml
}  // namespace mlir

namespace mlir {
namespace odml {
namespace {

#define GEN_PASS_DEF_SHLOSIMPLIFYPASS
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/passes.h.inc"
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/transforms/generated_shlo_simplify.inc"

// Performs misc odml "cleanup" on shlo dialect. This is a functional standin

!/.idea/misc.xml
!/.idea/codeStyles
!/.idea/inspectionProfiles
!/.idea/icon.png
!/.idea/icon_dark.png
*/**/.idea
*/**/.shelf
.shelf
/*.iml
/*/*.iml
/*/*/*.iml
/*/*/*/*.iml
/*/*/*/*/*.iml
/out
/*/out
/*/*/out
/*/*/*/out
/*/*/*/*/out
/.teamcity/target
/gradle.ipr
/gradle.iws

# Eclipse
# -------
*.classpath
*.project
*.settings
/bin

      // This `allow_tf` logic should be removed after the backend supports tf.
      optional_accepted_dialects.push_back("tf");
    }
    pm.addPass(
        mlir::odml::createCheckAcceptedOpsPass(optional_accepted_dialects));
  }

  mlir::odml::AddStablehloOptimizationPasses(pm);

  if (verbose) {
    // Print out a detailed report of non-converted stats.

    protected String getConfiguredModule() {
        return "idea.module"
    }

    @Override
    protected String projectName(String path) {
        File iml = file(path).listFiles().find { it.name.endsWith("iml") }
        assert iml != null
        return iml.name - ".iml"
    }

    @Override
    String[] getGenerationTaskNames(String projectPath) {
        def taskNames = []
        if (projectPath == ":") {

        def iml = Mock(IdeaModuleIml)
        def module = TestUtil.newInstance(IdeaModule, moduleProject, iml)
        expect:
        module.languageLevel == null
    }

    def "target bytecode version is null for non java projects"() {
        given:
        project.getPlugins().apply(JavaPlugin)
        project.getPlugins().apply(IdeaPlugin)
        def iml = Mock(IdeaModuleIml)