#include "tensorflow/lite/schema/schema_generated.h"
#include "tensorflow/lite/toco/logging/conversion_log_util.h"
#include "tensorflow/lite/toco/logging/toco_conversion_log.pb.h"
#include "tensorflow/lite/toco/model.h"
#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_convert.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"
#include "tensorflow/lite/toco/toco_graphviz_dump_options.h"

tf_cc_binary(
    name = "tac-opt-all-backends",
    testonly = True,
    deps = [
        ":tac-opt_lib",
        "//tensorflow/compiler/mlir/lite/experimental/common:outline_operations",
        "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:all-target-hardwares",
    ],
)

cc_library(
    name = "tac-translate-lib",
    srcs = [
        "tac_translate.cc",
    ],
    deps = [

  %1 = "tfl.mul"(%0, %arg2) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

    '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',

// ops.
//
// When `legacy_float_scale` is true, the quantizer will use float scale instead
// of double, and call TOCO's quantization routines to maintain bit-exactness of
// the values with the TOCO quantizer.
TfLiteStatus QuantizeModel(
    absl::string_view model_buffer, const tflite::TensorType &input_type,
    const tflite::TensorType &output_type,
    const tflite::TensorType &inference_type,

#include "tensorflow/lite/graph_info.h"
#include "tensorflow/lite/python/metrics/converter_error_data.pb.h"
#include "tensorflow/lite/schema/schema_conversion_utils.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"
#include "tensorflow/lite/tools/versioning/gpu_compatibility.h"
#include "tensorflow/lite/tools/versioning/op_version.h"
#include "tensorflow/lite/tools/versioning/runtime_version.h"

    for the
    [TFLite Optimizing Converter](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/toco/README.md)
    has been expanded, and the command line interface (AKA: `toco`,
    `tflite_convert`) is once again included in the standard `pip` installation.
*   Improved data-loading and text processing with: