EXPECT_TRUE(neg == neg2);
  NodeDef node_def2;
  ASSERT_TRUE(GetNodeDef(neg2, &node_def2));
  EXPECT_EQ(node_def.DebugString(), node_def2.DebugString());

  TF_Operation* feed2 = TF_GraphOperationByName(graph, "feed");
  EXPECT_TRUE(feed == feed2);
  ASSERT_TRUE(GetNodeDef(feed, &node_def));
  ASSERT_TRUE(GetNodeDef(feed2, &node_def2));
  EXPECT_EQ(node_def.DebugString(), node_def2.DebugString());

        op_count += self._count_op_with_name_and_attribute(
            nodes=func.node_def,
            op_name=op_name,
            attr_name=attr_name,
            attr_val=attr_val,
            get_op_name=get_op_name,
        )
    return op_count

  def _count_op_with_name_and_attribute(
      self,
      nodes: Iterable[node_def_pb2.NodeDef],
      op_name: str,
      attr_name: str,
      attr_val: _AttrValType,

  FunctionDefLibrary flib_def;
  FunctionDef func = FunctionDefHelper::Create(
      /*function_name=*/"Stateful_func", /*in_def=*/{},
      /*out_def=*/{"out: int32"},
      /*attr_def*/
      {}, /*node_def=*/
      {FunctionDefHelper::Const("shape_shape", 2),
       FunctionDefHelper::Const("minval", 1),
       FunctionDefHelper::Const("maxval", 20),
       {{"shape"},
        "RandomUniformInt",

#include "tensorflow/core/framework/bounds_check.h"
#include "tensorflow/core/framework/graph_def_util.h"
#include "tensorflow/core/framework/memory_types.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/algorithm.h"

    // returned by _Retval nodes.
    std::unique_ptr<Graph> graph_;

    // Which device are these nodes on? Used to assign a device to the call
    // node.
    string device_;

    // NodeDef for the function call node.
    NodeDef call_node_def_;

    // Name that is used for the call node. This may not be
    // call_node_def_.name() if the client supplies a rewrite lambda.
    string function_def_name_;

                   TFL_ReshapeOp, TFL_TransposeOp] in {
    def ReorderElementwiseAndMoveOperations#ValueOp#MoveOp : Pat<
      (ValueOp:$value (MoveOp:$move $input, $move_def)),
      (MoveOp (ValueOp $input), $move_def),
      [(SameElementType $input, $value), (HasOneUse $move)]>;
  }
}

// Returns truncated shape of a ranked-tensor.

  # ${kube_env}['K8S_DIR'] cannot be afaik).
  $env_vars = @{
    "K8S_DIR" = ${kube_env}['K8S_DIR']
    # Typically 'C:\etc\kubernetes\node\bin' (not just 'C:\etc\kubernetes\node')
    "NODE_DIR" = ${kube_env}['NODE_DIR']
    "CNI_DIR" = ${kube_env}['CNI_DIR']
    "CNI_CONFIG_DIR" = ${kube_env}['CNI_CONFIG_DIR']
    "WINDOWS_CNI_STORAGE_PATH" = ${kube_env}['WINDOWS_CNI_STORAGE_PATH']