}
    javaLauncher = launcher
    if (jvmVersionForTest().canCompileOrRun(9)) {
        // Required by JdkTools and JdkJavaCompiler
        jvmArgs(listOf("--add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED"))
        jvmArgs(listOf("--add-exports=jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED"))

        if (isUnitTest() || usesEmbeddedExecuter()) {
            jvmArgs(org.gradle.internal.jvm.JpmsConfiguration.GRADLE_DAEMON_JPMS_ARGS)

     * <p>
     * The source path indicates the location of source files that <i>may</i> be compiled if necessary.
     * It is effectively a complement to the class path, where the classes to be compiled against are in source form.
     * It does <b>not</b> indicate the actual primary source being compiled.
     * <p>
     * The source path feature of the Java compiler is rarely needed for modern builds that use dependency management.
     * <p>

#include "absl/types/span.h"
#include "tensorflow/compiler/jit/device_compilation_cache.h"
#include "tensorflow/compiler/jit/device_compilation_cluster_signature.h"
#include "tensorflow/compiler/jit/device_compilation_profiler.h"
#include "tensorflow/compiler/jit/device_compiler_client.h"
#include "tensorflow/compiler/jit/device_executable_persistor.h"
#include "tensorflow/compiler/jit/flags.h"

#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/compiler/tf2xla/layout_util.h"
#include "tensorflow/compiler/tf2xla/xla_argument.h"
#include "tensorflow/compiler/tf2xla/xla_helpers.h"
#include "xla/client/xla_computation.h"
#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/framework/graph_debug_info.pb.h"

                sourceCompatibility = "${JavaVersion.VERSION_11}"
            }

            def compile11 = providers.gradleProperty("compile11").isPresent()
            compileJava {
                javaCompiler = javaToolchains.compilerFor {
                    languageVersion = JavaLanguageVersion.of(compile11 ? ${jdk11.javaVersion.majorVersion} : ${jdk17.javaVersion.majorVersion})
                }
            }

        Compiler<JavaCompileSpec> compiler = createCompiler();
        compiler = makeIncremental(inputs, (CleaningJavaCompiler<JavaCompileSpec>) compiler, getStableSources());
        performCompilation(spec, compiler);
    }

    private Compiler<JavaCompileSpec> makeIncremental(InputChanges inputs, CleaningJavaCompiler<JavaCompileSpec> compiler, FileCollection stableSources) {

        executer.withTasks('idea').run()

        hasProjectLibrary('root.ipr', 'scala-compiler-2.10.0', ['compiler-bridge_2.10', 'scala-compiler-2.10.0', 'scala-library-2.10.0', 'scala-reflect-2.10.0', 'compiler-interface', 'util-interface'], [], [], [])

"""Build macro that compiles a TensorFlow graph into a cc_library.

To use from your BUILD file, add the following line to load the macro:

load("//tensorflow/compiler/aot:tfcompile.bzl", "tf_library")

Then call the macro like this:

tf_library(
    name = "test_graph_tfmatmul",
    config = "test_graph_tfmatmul.config.pbtxt",
    cpp_class = "MatMulComp",
    graph = ":test_graph_tfmatmul.pb",
)
"""

load(

#include "mlir/Pass/PassRegistry.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/tensorflow/passes/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"

// Required to use LLVM_DEBUG macro.
#define DEBUG_TYPE "quant-duplicate-shape-determining-constants"

namespace mlir {
namespace quant {

        allowEmptySourcePath = false;
        return this;
    }

    /**
     * Returns a list with all Java compiler arguments as configured in this builder.
     * Returned arguments are guaranteed not to be null.
     *
     * @return a list containing all Java compiler arguments
     */
    public List<String> build() {
        args = new ArrayList<>();