ExecutableType** out_executable) {
  DCHECK_NE(out_executable, nullptr);
  VLOG(2) << "DeviceCompiler::Compile " << DebugString();

  if (VLOG_IS_ON(2)) {
    VLOG(2) << "num_inputs=" << args.size();
    for (int i = 0, end = args.size(); i < end; i++) {
      VLOG(3) << i << ": " << args[i].HumanString();
    }
  }
  TF_ASSIGN_OR_RETURN(auto signature,

// TODO(ycao): Support computation with compile-time constant, which requires
// non-trivial input mapping as implemented now.
void GetInputMappingForMlir(int num_inputs, std::vector<int>* input_mapping) {
  input_mapping->resize(num_inputs, 0);
  std::iota(input_mapping->begin(), input_mapping->end(), 0);
}

static void RegisterDialects(mlir::DialectRegistry& registry) {

  }
}

bool TF_IsRefInput(TF_OpKernelContext* ctx, int i, TF_Status* status) {
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx);
  if (i < 0 || i >= cc_ctx->num_inputs()) {
    TF_SetStatus(status, TF_OUT_OF_RANGE, "input index out of range");
    return false;
  }
  TF_SetStatus(status, TF_OK, "");
  return cc_ctx->input_is_ref(i);
}

#ifndef IS_MOBILE_PLATFORM

    : OpKernel(ctx), platform_info_(XlaPlatformInfoFromDevice(ctx->device())) {}

void XlaRunOp::Compute(OpKernelContext* ctx) {
  VLOG(3) << "XlaRunOp " << def().name();
  Tensor key_tensor = ctx->input(ctx->num_inputs() - 1);

  bool use_pjrt =
      GetXlaOpsCommonFlags()
          ->tf_xla_use_device_api.IsEnabledInXlaCompileAndRunForDevice(
              platform_info_.device_type());

  if (use_pjrt) {

      IsSingleCallRegion(while_region.getBody()), while_arg_matcher);

  // All existing inputs to while region are inputs to the functional while.
  auto new_inputs = llvm::to_vector<4>(while_region.getOperands());

  // All existing results will also be generated by the functional while.
  auto new_result_types = llvm::to_vector<4>(while_region.getResultTypes());

					return err
				}
				covervarsoutfile = outputfiles[0]
				outputfiles = outputfiles[1:]
				numInputs := len(flag.Args())
				numOutputs := len(outputfiles)
				if numOutputs != numInputs {
					return fmt.Errorf("number of output files (%d) not equal to number of input files (%d)", numOutputs, numInputs)
				}
				if err := readPackageConfig(*pkgcfg); err != nil {
					return err
				}
				return nil

/**
 * Tests for SimpleGenericBloomFilter and derived BloomFilter views.
 *
 * @author Dimitris Andreou
 */
public class BloomFilterTest extends TestCase {
  private static final int NUM_PUTS = 100_000;
  private static final ThreadLocal<Random> random =
      new ThreadLocal<Random>() {
        @Override
        protected Random initialValue() {
          return new Random();
        }
      };

def LowerSoftmaxCrossEntropyWithLogitsOp : Pattern<
  (TF_SoftmaxCrossEntropyWithLogitsOp AnyRankedTensor:$features,
                                      AnyRankedTensor:$labels),
  [(TF_SumOp (TF_MulNoNanOp:$sum_input
                     (TF_LogSoftmaxOp $features),
                     (TF_NegOp $labels)),
             (TF_ConstOp (GetI64ScalarElementsAttr<-1>)),
             /*keep_dims=*/ConstBoolAttrFalse),

		posRow:    -1,
		rows:      setMRows,
		cols:      setColumns,
		colType:   setColType,
		errPos:    -1,
	}
	return cursor, nil
}

func (s *fakeStmt) NumInput() int {
	if s.panic == "NumInput" {
		panic(s.panic)
	}
	return s.placeholders
}

// hook to simulate broken connections
var hookCommitBadConn func() bool

func (tx *fakeTx) Commit() error {

	// placeholders, so we won't sanity check input here and instead let the
	// driver deal with errors.
	want := -1

	var si driver.Stmt
	var cc ccChecker
	if ds != nil {
		si = ds.si
		want = ds.si.NumInput()
		cc.want = want
	}

	// Check all types of interfaces from the start.
	// Drivers may opt to use the NamedValueChecker for special
	// argument types, then return driver.ErrSkip to pass it along