for i := 0; i < n; i++ {
		cdat2[i] = cdat0[i] - pdat[i]
		sum += abs8(cdat2[i])
	}
	best := sum
	filter := ftUp

	// The Paeth filter.
	sum = 0
	for i := 0; i < bpp; i++ {
		cdat4[i] = cdat0[i] - pdat[i]
		sum += abs8(cdat4[i])
	}
	for i := bpp; i < n; i++ {
		cdat4[i] = cdat0[i] - paeth(cdat0[i-bpp], pdat[i], pdat[i-bpp])
		sum += abs8(cdat4[i])
		if sum >= best {
			break
		}
	}

}

// Check that it's using integer registers
func abs(x, y float64) {
	// amd64:"BTRQ\t[$]63"
	// arm64:"FABSD\t"
	// s390x:"LPDFR\t",-"MOVD\t"     (no integer load/store)
	// ppc64x:"FABS\t"
	// riscv64:"FABSD\t"
	// wasm:"F64Abs"
	// arm/6:"ABSD\t"
	// mips64/hardfloat:"ABSD\t"
	// mips/hardfloat:"ABSD\t"
	sink64[0] = math.Abs(x)

	// amd64:"BTRQ\t[$]63","PXOR"    (TODO: this should be BTSQ)

  }
}

// Runs model as is if output is a scalar,
// else sums the output tensor before returning.
Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                      absl::Span<AbstractTensorHandle* const> inputs,
                      absl::Span<AbstractTensorHandle*> outputs,
                      bool use_function) {
  AbstractTensorHandle* model_outputs[1];

  // Run the model.
  TF_RETURN_IF_ERROR(

// Code generated by stringer -i a.out.go -o anames.go -p loong64; DO NOT EDIT.

package loong64

import "cmd/internal/obj"

var Anames = []string{
	obj.A_ARCHSPECIFIC: "ABSD",
	"ABSF",
	"ADD",
	"ADDD",
	"ADDF",
	"ADDU",
	"ADDW",
	"AND",
	"BEQ",
	"BGEZ",
	"BLEZ",
	"BGTZ",
	"BLTZ",
	"BFPF",
	"BFPT",
	"BNE",
	"BREAK",
	"CLO",
	"CLZ",
	"CMPEQD",
	"CMPEQF",
	"CMPGED",
	"CMPGEF",

#include <cmath>
#include <cstdint>
#include <functional>
#include <memory>
#include <string>
#include <type_traits>
#include <utility>
#include <vector>

#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/Casting.h"

        op.emitError(
            "extended power of 2 scale is only supported for 16-bit"
            " quantization.");
        return failure();
      }

      double bound = PowerOfTwoBound(std::max(std::abs(min), std::abs(max)));
      // Set flags to 1 for signed type.
      quant_type = UniformQuantizedType::getChecked(
          op.getLoc(), quant::QuantizationFlags::Signed,

    return absl::InternalError(
        absl::StrFormat("Failed to create tmp dir: '%s'", tmp_dir));
  }

  return tmp_dir;
}

absl::StatusOr<std::string> CreateTmpDir() {
  // The overloaded function uses the default env.
  return CreateTmpDir(tsl::Env::Default());
}

absl::Status WriteStringToFile(const absl::string_view file_path,
                               const absl::string_view data) {
  auto* env = tsl::Env::Default();

const char kTensorPrefix[] = "tftensor$";

}  // namespace

string MangleAttributeName(absl::string_view str) {
  return absl::StrCat(kAttributePrefix, str);
}

bool IsMangledAttributeName(absl::string_view str) {
  return absl::StartsWith(str, kAttributePrefix);
}

absl::string_view DemangleAttributeName(absl::string_view str) {
  DCHECK(IsMangledAttributeName(str));
  return str.substr(std::strlen(kAttributePrefix));

#include <cstdint>
#include <fstream>
#include <string>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/functional/any_invocable.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_cat.h"
#include "tsl/platform/env.h"
#include "tsl/platform/file_system.h"
#include "tsl/platform/status_matchers.h"
#include "tsl/platform/types.h"

            << absl::StrJoin(vexcludelist, " ");
  }
  return excludelist;
}

absl::flat_hash_set<string> GetOrCreateAllowlist() {
  absl::flat_hash_map<string, std::vector<string>>* allowlist_table =
      tensorflow::GetAllowlistTable();
  MarkForCompilationPassFlags* flags = GetMarkForCompilationPassFlags();
  absl::flat_hash_set<string> allowlist;