#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 "tensorflow/compiler/mlir/tensorflow/analysis/side_effect_analysis.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_device.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/device_util.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/tpu_rewrite_device_util.h"

to the same package.

Imports are processed by importing directly from the source of
imported packages (default), or by importing from compiled and
installed packages (by setting -c to the respective compiler).

The -c flag must be set to a compiler ("gc", "gccgo") when type-
checking packages containing imports with relative import paths
(import "./mypkg") because the source importer cannot know which

        return toolChain;
    }

    /**
     * The platform being compiled for.
     *
     * @since 4.7
     */
    @Nested
    public Property<NativePlatform> getTargetPlatform() {
        return targetPlatform;
    }

    /**
     * Returns the source files to be compiled.
     *
     * @since 4.4
     */
    @InputFiles
    @SkipWhenEmpty

 */
public class NormalizingJavaCompiler implements Compiler<JavaCompileSpec> {
    private static final Logger LOGGER = Logging.getLogger(NormalizingJavaCompiler.class);
    private final Compiler<JavaCompileSpec> delegate;

    public NormalizingJavaCompiler(Compiler<JavaCompileSpec> delegate) {
        this.delegate = delegate;
    }

    @Override
    public WorkResult execute(JavaCompileSpec spec) {

#include "tensorflow/compiler/jit/xla_compile_util.h"
#include "tensorflow/compiler/jit/xla_compiler_options_util.h"
#include "tensorflow/compiler/jit/xla_host_recv_device_context.h"
#include "tensorflow/compiler/jit/xla_host_send_device_context.h"
#include "tensorflow/compiler/jit/xla_launch_util.h"
#include "tensorflow/compiler/jit/xla_platform_info.h"
#include "tensorflow/compiler/tf2xla/tf2xla_util.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"

import org.gradle.language.base.internal.compile.Compiler;
import org.gradle.util.internal.CollectionUtils;

import java.io.File;
import java.util.List;

/**
 * A Scala {@link Compiler} which does some normalization of the compile configuration and behaviour before delegating to some other compiler.
 */
public class NormalizingScalaCompiler implements Compiler<ScalaJavaJointCompileSpec> {

    // the index doesn't cover classfiles from compiler output,
    // so the lowering fails.
    //
    // To solve the problem, we need to find all delegated properties with inline accessors
    // reachable from files that will be compiled, and include files these inline accessors
    // to the set of files that will be compiled (and do the same for these files recursively).

#ifndef TENSORFLOW_COMPILER_JIT_KERNELS_XLA_OPS_H_
#define TENSORFLOW_COMPILER_JIT_KERNELS_XLA_OPS_H_

#include <atomic>

#include "tensorflow/compiler/jit/device_compiler.h"
#include "tensorflow/compiler/jit/xla_device.h"
#include "tensorflow/compiler/jit/xla_launch_util.h"
#include "tensorflow/compiler/jit/xla_platform_info.h"
#include "xla/stream_executor/integrations/tf_allocator_adapter.h"
#include "tensorflow/core/framework/allocator.h"

|===

[[sec:scala_compiler_plugins]]
== Adding plugins to the Scala compiler

The Scala plugin adds a configuration named `scalaCompilerPlugins` which is used to declare and resolve optional compiler plugins.

.Adding a dependency on a Scala compiler plugin
====