"@com_google_absl//absl/base:core_headers",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
        "@llvm-project//mlir:ShapeDialect",
        "@llvm-project//mlir:Support",
        "@llvm-project//mlir:TensorDialect",
        "@llvm-project//mlir:Transforms",
        "@local_tsl//tsl/platform:errors",

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

namespace tensorflow {

llvm::SmallVector<int64_t> ConvertTFShapeToMlir(llvm::ArrayRef<int64_t> shapes);

llvm::SmallVector<int64_t> ConvertMlirShapeToTF(llvm::ArrayRef<int64_t> shape);

static constexpr int64_t kTFDynamicSize = -1;
mlir::RankedTensorType GetTypeFromTFTensorShape(llvm::ArrayRef<int64_t> shape,

#include "tensorflow/compiler/mlir/init_mlir.h"

#include "llvm/ADT/StringRef.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/PrettyStackTrace.h"
#include "tensorflow/core/platform/init_main.h"

static llvm::cl::extrahelp FlagSplittingHelp(R"(
The command line parsing is split between the two flag parsing libraries used by
TensorFlow and LLVM:
  * Flags before the first '--' are parsed by tensorflow::InitMain while those

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
#include "mlir/Dialect/SCF/IR/SCF.h"  // from @llvm-project
#include "mlir/Dialect/Shape/IR/Shape.h"  // from @llvm-project
#include "mlir/InitAllDialects.h"  // from @llvm-project
#include "mlir/InitAllPasses.h"  // from @llvm-project

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Dialect/Traits.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Dialect.h"  // from @llvm-project
#include "mlir/IR/Matchers.h"  // from @llvm-project

#include <utility>
#include <vector>

#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinAttributes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/Support/Casting.h"
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project

        "@com_google_absl//absl/status:statusor",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:AllPassesAndDialects",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Parser",
        "@llvm-project//mlir:Pass",
        "@llvm-project//mlir:Support",
    ],
)

glob_lit_tests(
    name = "all_tests",
    data = [":test_utilities"],

#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "absl/strings/match.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SourceMgr.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Tools/mlir-translate/Translation.h"  // from @llvm-project
#include "tensorflow/core/platform/test.h"

namespace mlir {
namespace {

class MlirTranslationTest : public ::testing::Test {

#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/OwningOpRef.h"  // from @llvm-project