import org.gradle.internal.service.scopes.ServiceScope;
import org.gradle.language.base.internal.compile.CompileSpec;
import org.gradle.language.base.internal.compile.Compiler;

/**
 * Creates Java compilers based on the provided compile options.
 */
@ServiceScope(Scope.Project.class)
public interface JavaCompilerFactory {
    <T extends CompileSpec> Compiler<T> create(Class<T> type);

import org.gradle.api.internal.tasks.compile.incremental.recomp.PreviousCompilationAccess;
import org.gradle.api.internal.tasks.compile.incremental.recomp.PreviousCompilationData;
import org.gradle.api.internal.tasks.compile.incremental.recomp.RecompilationSpec;
import org.gradle.api.internal.tasks.compile.incremental.recomp.RecompilationSpecProvider;

#include <vector>

#include "tensorflow/compiler/jit/device_compilation_profiler.h"
#include "tensorflow/compiler/jit/variable_info.h"
#include "tensorflow/compiler/jit/variable_info_util.h"
#include "tensorflow/compiler/jit/xla_launch_util.h"
#include "tensorflow/compiler/jit/xla_platform_info.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "xla/client/local_client.h"

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

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

import static org.gradle.internal.FileUtils.hasExtension;

/**
 * A Groovy {@link Compiler} which does some normalization of the compile configuration and behaviour before delegating to some other compiler.
 */

#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"

tasks.withType<JavaCompile>().configureEach {
    // Generated classes may not adhere to the strict no-warning policy that we apply to handwritten code
    // For example, external JMH plugin generates code that produces compiler warnings
    if (!name.contains("CompileGeneratedClasses")) {
        options.compilerArgs.addAll(strictCompilerArgs)
    }

#define TENSORFLOW_COMPILER_JIT_TF_GRAPH_TO_HLO_COMPILER_H_

#include <memory>
#include <vector>

#include "tensorflow/compiler/jit/tf_to_hlo_compiler.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "tensorflow/compiler/tf2xla/xla_helpers.h"

namespace tensorflow {

class TfGraphToHloCompiler : public TfToHloCompiler {
 public:
  TfGraphToHloCompiler() = delete;

Class <org.gradle.language.base.internal.compile.CompileSpec> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (CompileSpec.java:0)
Class <org.gradle.language.base.internal.compile.Compiler> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Compiler.java:0)

#ifdef MLRT_TF_OPS
#else
#define MLRT_TF_OPS

include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_dialect.td"
include "tensorflow/compiler/mlir/tfrt/ir/mlrt/mlrt_dialect.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_op_base.td"
include "tfrt/compiler/opdefs/tfrt_op_interfaces.td"  // from @tf_runtime
include "tfrt/compiler/opdefs/tfrt_traits.td"  // from @tf_runtime

    /**
     * Returns the name of the compile only configuration for this source set.
     *
     * @return The compile only configuration name
     *
     * @since 2.12
     */
    String getCompileOnlyConfigurationName();

    /**
     * Returns the name of the 'compile only api' configuration for this source set.
     *
     * @return The 'compile only api' configuration name
     *
     * @since 6.7