"//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:simple_hardware",
    ],
    alwayslink = 1,
)

tf_cc_binary(
    name = "example-hardware-translate",
    deps = [
        ":example_hardware",
        "//tensorflow/compiler/mlir/lite/experimental/tac:tac-translate-lib",
        "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:all-target-hardwares",
    ],

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/utils/utils.h"

namespace mlir {
namespace TFL {
namespace tac {

// Returns true if 'op' is non const op. Returns false otherwise or if
// 'op' is null.

#include <string>

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"

namespace mlir {
namespace TFL {
namespace tac {

// TODO(renjieliu): We need to come up with a better strategy to do cost
// estimatation. Maybe build a big lookup table for all the ops.

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/subgraph.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/passes.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"

namespace mlir {
namespace TFL {
namespace tac {
namespace {

// This pass is used to fold tfl.const ops to each subgraph (func::FuncOp):
// See the example below:

#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/OwningOpRef.h"  // from @llvm-project
#include "mlir/Parser/Parser.h"  // from @llvm-project

namespace mlir {
namespace TFL {
namespace tac {

// Import the file as mlir module, the input maybe flatbuffer or mlir file.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ImportFlatbufferOrMlir(
    const std::string& input_filename, bool input_mlir,

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.h"

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

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

    'mlir-hlo-opt',
    'mlir-opt',
    'mlir-tflite-runner',
    'mlir-translate',
    'odml-to-stablehlo-opt',
    'odml_to_stablehlo',
    'odml-converter',
    'stable-quant-opt',
    'tac-opt-all-backends',
    'tac-translate',
    'tf-mlir-translate',
    'tf-opt',
    'tf-quant-opt',
    'tf-reduce',
    'tf-tfrt-opt',
    'tf_tfjs_translate',
    'tf_tfl_translate',
    'tfcompile',

### Version 9.1.7 (Thu May 15 2023 Paco Xu <paco******@****.***>)
- Update kubectl to v1.27.1.
- Use `--prune-allowlist` instead of deprecated `--prune-whitelist`.

### Version 9.1.6 (Thu February 24 2022 Shihang Zhang <******@****.***>)
 - Clean up the wait check for service account (https://github.com/kubernetes/kubernetes/pull/108313)

### Version 9.1.5 (Mon April 19 2021 Spencer Peterson <******@****.***>)
 - Update baseimage to debian-base:v1.0.1.

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#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"

namespace mlir {
namespace TFL {
namespace tac {

// TODO(renjieliu): add more patterns.

// This basically:
// Pack => (Concat -> Reshape)
struct LowerPackIntoConcatReshape : public OpRewritePattern<TFL::PackOp> {