stack380, stack384, stack388, stack392, stack396, stack400,
	stack404, stack408, stack412, stack416, stack420, stack424,
	stack428, stack432, stack436, stack440, stack444, stack448,
	stack452, stack456, stack460, stack464, stack468, stack472,
	stack476, stack480, stack484, stack488, stack492, stack496,
	stack500, stack504, stack508, stack512, stack516, stack520,
	stack524, stack528, stack532, stack536, stack540, stack544,

    // 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)