limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TO_STABLEHLO_PYTHON_PYWRAP_TENSORFLOW_TO_STABLEHLO_LIB_H_
#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TO_STABLEHLO_PYTHON_PYWRAP_TENSORFLOW_TO_STABLEHLO_LIB_H_

#include <string>
#include <vector>

#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"

		return `<style type="text/css">` + "\n" + loadFile(fname) + `</style>` + "\n"
	}
	loadJS := func(fname string) string {
		return `<script>` + "\n" + loadFile(fname) + `</script>` + "\n"
	}

	// Define a named template with specified contents.
	def := func(name, contents string) {
		sub := template.New(name)
		template.Must(sub.Parse(contents))
		template.Must(templates.AddParseTree(name, sub.Tree))
	}

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_QUANTIZATION_LITE_QUANTIZE_MODEL_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_QUANTIZATION_LITE_QUANTIZE_MODEL_H_

#include <string>
#include <unordered_set>

#include "absl/container/flat_hash_set.h"
#include "absl/strings/string_view.h"

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_COMPILER_MLIR_TF2XLA_API_V2_TF_EXECUTOR_TO_GRAPH_H_
#define TENSORFLOW_COMPILER_MLIR_TF2XLA_API_V2_TF_EXECUTOR_TO_GRAPH_H_

#include "absl/container/flat_hash_set.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project

        EclipseProject rootProject = loadToolingModel(EclipseProject)

        then:
        rootProject.javaSourceSettings.sourceLanguageLevel == JavaVersion.VERSION_1_6
    }

    def "Multi-project build can define different source language level for subprojects"() {
        given:
        buildFile << """
            project(':subproject-a') {
                apply plugin: 'java'

class ToolingApiEclipseModelSourceFolderClasspathAttributesCrossVersionSpec extends ToolingApiSpecification {

    @TargetGradleVersion(">=3.0 <4.4")
    def "Source folder doesn't define classpath attributes"() {
        setup:
        settingsFile << 'rootProject.name = "root"'
        buildFile << "apply plugin: 'java'"
        file('src/main/java').mkdirs()

        when:

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSLATE_EXPORT_GRAPHDEF_H_
#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSLATE_EXPORT_GRAPHDEF_H_

#include "absl/base/attributes.h"
#include "absl/container/flat_hash_set.h"
#include "llvm/ADT/StringRef.h"

#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"  // IWYU pragma: keep

namespace mlir {
namespace odml {

namespace {

// This file is generated from `passes.td` and provides the implementation base
// class.
#define GEN_PASS_DEF_COMPOSITELOWERINGPASS
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h.inc"

class CompositeLoweringPass
    : public impl::CompositeLoweringPassBase<CompositeLoweringPass> {
 public:

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tsl/platform/protobuf.h"  // IWYU pragma: keep
#include "tsl/platform/regexp.h"    // IWYU pragma: keep

#define DEBUG_TYPE "lift_quantizable_spots_as_functions"

namespace mlir::quant::stablehlo {

#define GEN_PASS_DEF_LIFTQUANTIZABLESPOTSASFUNCTIONSPASS
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.h.inc"

namespace {

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_JIT_XLA_HOST_SEND_DEVICE_CONTEXT_H_
#define TENSORFLOW_COMPILER_JIT_XLA_HOST_SEND_DEVICE_CONTEXT_H_

#include "xla/shape.h"
#include "xla/stream_executor/device_memory.h"
#include "xla/stream_executor/stream.h"
#include "tensorflow/core/framework/device_base.h"