// size might have a 26.6% (1.266x) overhead.
// In practice, only one of the wastes comes into play for a
// given size (sizes < 512 waste mainly on the round-up,
// sizes > 512 waste mainly on the page chopping).
// For really small sizes, alignment constraints force the
// overhead higher.

package main

import (
	"bytes"
	"flag"
	"fmt"
	"go/format"
	"io"
	"log"
	"math"

  MLIR input.
* `--input-arg-shapes`: A string representation of input argument shapes for
  'main' entry-point, separating tensors with ':', dimension with ',', and
  using '?' for unknown sizes. For example, `input-arg-shapes=1,2::1,?`
  expresses argument shapes `[1,2]`, `[]` and `[1,?]`.
* `--e`: Elide large elements attrs while dumping the output StableHLO.

//    SavedModel.
//   input_arg_shapes_str: A string representation of input argument
//    shapes for 'main' entry-point, separating tensors with ':', dimension
//    with ',', and using '?' for unknown sizes. For example,
//    'input-arg-shapes=1,2::1,?' expresses argument shapes [1,2], [] and [1,?].
//
// Returns:
//   An absl::StatusOr containing the serialized bytecode of the StableHLO

	buildSlicing8TablesOnce()
	crc = ^crc
	// Table comparison is somewhat expensive, so avoid it for small sizes
	for len(p) >= 64 {
		var helperTable *[8]Table
		if *tab == slicing8TableECMA[0] {
			helperTable = slicing8TableECMA
		} else if *tab == slicing8TableISO[0] {
			helperTable = slicing8TableISO
			// For smaller sizes creating extended table takes too much time
		} else if len(p) >= 2048 {

        * input-arg-shapes: A string representation of input argument shapes for
          'main' entry-point, separating tensors with ':', dimension with ',', and
          using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?'
          expresses argument shapes [1,2], [] and [1,?].
        )pbdoc",
      py::arg("input_path"),
      py::arg("exported_model_signatures") =

//     backup space is needed for incremental backups. Larger block sizes also mean less performance for random read restore
//     methods like Instant Restore, File Level Recovery, and Database/Application restores. Veeam recommends that vendors
//     optimize the storage system for the default value of 1MB minus compression object sizes. The setting simultaneously

  // Max length in number of characters that we permit the total
  // buffer containing the concatenation of all added strings to be.
  // For historical reasons this is limited to 32bit length. At this files
  // inception, sizes were represented using 32bit which forced an implicit cap
  // on the size of the buffer. When this was refactored to use size_t (which
  // could be 64bit) we enforce that the buffer remains at most 32bit length to

//    Ignored for MLIR input.
//  input_arg_shapes_str:  A string representation of input argument shapes for
//    'main' entry-point, separating tensors with ':', dimension with ',', and
//    using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?'
//    expresses argument shapes [1,2], [] and [1,?].
//  is_input_mlir_module: If true, `input_path` is treated as an MLIR
//    module instead of a SavedModel.
//
// Returns:

	maxBytes := 1 + 5*traceBytesPerNumber + len(typName)

	// Estimate the size of this record. This
	// bound is pretty loose, but avoids counting
	// lots of varint sizes.
	//
	// Add 1 because we might also write a traceAllocFreeTypesBatch byte.
	var flushed bool
	w, flushed = w.ensure(1 + maxBytes)
	if flushed {
		// Annotate the batch as containing types.

    "input-arg-shapes",
    llvm::cl::desc(
        "A string representation of input argument shapes for 'main' "
        "entry-point, separating tensors with ':', dimension with ',', and "
        "using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?' "
        "expresses argument shapes [1,2], [] and [1,?]"),
    llvm::cl::Optional, llvm::cl::init(""));

// NOLINTNEXTLINE
opt<std::string> exported_model_signatures(