| // RUN: tf-opt %s --run-tf-graph-optimization --graph-passes=FunctionalizeControlFlowPass 2>&1 | FileCheck %s; test ${PIPESTATUS[1]} -eq 0 |
| |
| // CHECK: FunctionalizeControlFlowPass: Graph contains node with inputs predicated on incompatible predicates: {s(Cond:0,then)} and {s(Cond:0,else)} |
| // CHECK-NEXT: for node {{[{][{]node Add[}][}]}} |
| func @main() { |
| %0 = "_tf._TPUReplicate"() {computation = @foo, Tinputs = [], Tbroadcast_inputs = [], NumVariables = 0, Tguaranteed_constants = [], output_types = []} : () -> !_tf.control loc("_TPUReplicate") |
| return |
| } |
| |
| func @foo() { |
| %0:2 = "_tf.Const"() {device = "", dtype = "tfdtype$DT_INT32", value = dense<17> : tensor<i32>} : () -> (tensor<i32>, !_tf.control) loc("x") |
| %1:2 = "_tf.Const"() {device = "", dtype = "tfdtype$DT_BOOL", value = dense<true> : tensor<i1>} : () -> (tensor<i1>, !_tf.control) loc("Cond") |
| %2:3 = "_tf.Switch"(%0#0, %1#0) {T = "tfdtype$DT_INT32", device = ""} : (tensor<i32>, tensor<i1>) -> (tensor<i32>, tensor<i32>, !_tf.control) loc("switch") |
| %3:2 = "_tf.Add"(%2#0, %2#1) {T = "tfdtype$DT_INT32", device = ""} : (tensor<i32>, tensor<i32>) -> (tensor<i32>, !_tf.control) loc("Add") |
| %4:2 = "_tf.Mul"(%2#1, %2#0) {T = "tfdtype$DT_INT32", device = ""} : (tensor<i32>, tensor<i32>) -> (tensor<i32>, !_tf.control) loc("Square") |
| %5:3 = "_tf.Merge"(%3#0, %4#0) {N = 2 : i64, T = "tfdtype$DT_INT32", device = "", name = "_tf.Merge"} : (tensor<i32>, tensor<i32>) -> (tensor<i32>, tensor<i32>, !_tf.control) loc("Merge") |
| return |
| } |
