}

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    int columnIndex = cellColumnIndices[index];
    R rowKey = rowKeySet().asList().get(rowIndex);
    C columnKey = columnKeySet().asList().get(columnIndex);

  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    int columnIndex = cellColumnIndices[index];
    R rowKey = rowKeySet().asList().get(rowIndex);
    C columnKey = columnKeySet().asList().get(columnIndex);

        return failure();
    }
    rewriter.replaceOp(op, rewriter.create(state)->getResults());

    // TODO: b/290366702 - Temporarily added metrics for debugging.
    mlir_tf_quant_op_count->GetCell(std::string(op->getName().getStringRef()))
        ->IncrementBy(1);
    return success();
  }
};

// This pattern adds qint <-> int Cast to all qint operands and results for UQ
// ops.

    return new AbstractIndexedListIterator<Cell<R, C, @Nullable V>>(size()) {
      @Override
      protected Cell<R, C, @Nullable V> get(final int index) {
        return getCell(index);
      }
    };
  }

  private Cell<R, C, @Nullable V> getCell(final int index) {
    return new Tables.AbstractCell<R, C, @Nullable V>() {
      final int rowIndex = index / columnList.size();

                                "The number of composite op expanded.", "name");
}

void IncreaseOpExpansionExecuteCounterByOne(const std::string& op_name) {
  tf_core_op_expansion_op_counter->GetCell(op_name)->IncrementBy(1);
}

}  // namespace tensorflow

//===----------------------------------------------------------------------===//
// The pass to decompose unregistered TF ops with the TFR compose function.
//

                          .str()));
      outside_compiled_cluster_counter++;
    }
  });
  if (outside_compiled_cluster_counter > 0) {
    auto_outside_compilation_gauge->GetCell()->Set(true);
  }
  return mlir::success();
}

// Check for uncompilable ops that are in `tf_dialect` and are not already
// marked for outside compilation.

void XlaLocalLaunchBase::ComputeAsync(OpKernelContext* ctx, DoneCallback done) {
  VLOG(1) << "XlaLocalLaunchOpBase::Compute "
          << Canonicalize(function_.name(), AttrSlice(&function_.attr()));
  xla_launch_counter->GetCell(platform_info_.device_type().type_string())
      ->IncrementBy(1);

  std::vector<const Tensor*> inputs = InputsFromContext(ctx);
  std::vector<XlaCompiler::Argument> xla_compiler_args;