}

    for (auto i = 0; i < window_strides.size(); ++i) {
      window_strides_vec.push_back(
          window_strides.getValues<IntegerAttr>()[i].getInt());
    }

    for (auto i = 0; i < base_dilations.size(); ++i) {
      base_dilations_vec.push_back(
          base_dilations.getValues<IntegerAttr>()[i].getInt());
    }

  if (!int_attr) {
    return func.emitError()
           << attribute.c_str() << " attribute is not set or not an integer";
  }
  builder->Int(attribute.c_str(), int_attr.getInt());
  return success();
}

LogicalResult ConvertSSDPostProcessFunc::AddFloatAttr(
    func::FuncOp func, DictionaryAttr attrs, const std::string& attribute,
    flexbuffers::Builder* builder) {

          builder.getI64IntegerAttr(alias_info.output_index));
      continue;
    }
    // If aliasing attribute already exists, it must match the new value.
    assert(aliasing_attr.getInt() == alias_info.output_index);
  }
}

void MarkInputOutputAliasesPass::runOnOperation() {
  SmallVector<tf_device::ClusterFuncOp, 4> cluster_funcs;
  ModuleOp module = getOperation();

    if (!value) {
      return func->emitError()
             << "'" << attr_name << "' attribute for " << kMaxUnpooling
             << " does not contain integer values";
    }
    results->push_back(value.getInt());
  }
  return success();
}

}  // namespace

LogicalResult ConvertMaxUnpoolingFunc::RewriteFunc() {
  func_.eraseBody();
  func_.addEntryBlock();
  func_->setAttr(kTFImplements,

  mlir::IntegerAttr num_cores_per_replica_attr =
      cluster->getAttrOfType<mlir::IntegerAttr>(kNumCoresPerReplicaAttr);
  if (num_cores_per_replica_attr) {
    return num_cores_per_replica_attr.getInt();
  } else {
    return 1;
  }
}

// Get the TPUDevicesAndHosts for a cluster that is not replicated.
mlir::LogicalResult GetTPUDevicesAndHostsNotReplicated(

  if (cost_recorder_ != nullptr) {
    const auto op_key_attr =
        op->getAttrOfType<mlir::IntegerAttr>(kOpKeyAttrName);
    if (op_key_attr) {
      cost_map_[op] = cost_recorder_->GetCost(op_key_attr.getInt());
      return;
    }
  }

  // These ops are cheap regardless of their input sizes.
  //
  // TODO(chky): Find a more scalable way to figure out cheap ops.

    return switchn.emitOpError() << "expects a `num_outs` integer attribute";

  // Expect num_outs results + 1 control output.
  if (switchn.getNumResults() != num_outs.getInt() + 1)
    return switchn.emitOpError()
           << "expect `num_outs` (" << num_outs.getInt() << ") results but got "
           << (switchn.getNumResults() - 1);

  // Check that operand can be broadcasted to each output type.

    inferredReturnTypes.assign({result_type});
    return success();
  }

  auto stride_h = op.getStrideHAttr().getInt();
  auto stride_w = op.getStrideWAttr().getInt();
  auto dilation_h = op.getDilationHFactorAttr().getInt();
  auto dilation_w = op.getDilationWFactorAttr().getInt();

  // We don't have EXPLICIT PADDING in TfLite.
  auto paddings = op.getPadding();
  tensorflow::Padding padding;

import jcifs.smb1.Config;
import jcifs.smb1.util.Hexdump;

abstract class SmbComTransaction extends ServerMessageBlock implements Enumeration {

    private static final int DEFAULT_MAX_DATA_COUNT =
            Config.getInt( "jcifs.smb1.smb.client.transaction_buf_size",
                    SmbComTransaction.TRANSACTION_BUF_SIZE ) - 512;

    // relative to headerStart
    private static final int PRIMARY_SETUP_OFFSET        = 61;

  llvm::SmallSet<int, 4> dynamic_arg_idx_set;
  if (dynamic_arg_idx) {
    for (auto idx : dynamic_arg_idx.getValue()) {
      dynamic_arg_idx_set.insert(mlir::dyn_cast<IntegerAttr>(idx).getInt());
    }
  }

  for (auto operand_type_and_idx : llvm::enumerate(op.getOperandTypes())) {
    Type operand_type = operand_type_and_idx.value();
    int index = operand_type_and_idx.index();