stack188, stack192, stack196, stack200, stack204, stack208,
	stack212, stack216, stack220, stack224, stack228, stack232,
	stack236, stack240, stack244, stack248, stack252, stack256,
	stack260, stack264, stack268, stack272, stack276, stack280,
	stack284, stack288, stack292, stack296, stack300, stack304,
	stack308, stack312, stack316, stack320, stack324, stack328,
	stack332, stack336, stack340, stack344, stack348, stack352,

    // expected-remark@above {{ID: 5}}
    // expected-remark@above {{Successors: {6}}}
        %stack_handle1 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 0}}
        %stack_handle2 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 1}}

    maximum size needs to be a constant and 2) a push op can be found with a
    known shape, and all push ops need to have the same shape.

    A stack creation op "tf.StackV2" will be turned in to two zero-initialized
    variables, for the buffer and current size. Each push will be turned into
    ```mlir
      %old_val = "tf.ReadVariableOp"(%buffer)
      %old_size = "tf.ReadVariableOp"(%size)