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tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
variable ops, thus allowing them to run in parallel across iterations. Before: ```mlir !tf_res = type tensor<!tf_type.resource<tensor<f32>>> func @while_body(%arg0: !tf_res, %arg1: !tf_res, %arg2: tensor<f32>, %arg3: tensor<f32>) -> (!tf_res, !tf_res, tensor<f32>, tensor<f32>) { %graph:4 = tf_executor.graph {
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