size, and each pop will be turned into a `tf.Slice` and a copy of the buffer
with decremented size. Each `tf.TensorListSetItem` will be turned into a
`tf.XlaDynamicUpdateSlice` with unchanged size, and each `tf.TensorListGetItem`
will be rewritten to a `tf.Slice`.

The pass also works across control flow and functional calls.

For example, the TensorList ops in the following function:

```mlir

  );

  let results = (outs
    TF_Tensor:$values
  );

  TF_DerivedResultTypeAttr element_dtype = TF_DerivedResultTypeAttr<0>;
}

def TF_TensorListGetItemOp : TF_Op<"TensorListGetItem", [Pure]> {
  let summary = "";

  let arguments = (ins
    TF_VariantTensor:$input_handle,
    TF_Int32Tensor:$index,
    TF_Int32Tensor:$element_shape
  );