// RUN: mlir-hlo-opt -mhlo-legalize-control-flow %s -o - | FileCheck %s // CHECK-LABEL: func @while(%arg0: tensor<i64>) -> tensor<i64> { func @while(%arg0: tensor<i64>) -> tensor<i64> { //CHECK: br ^bb1(%arg0 : tensor<i64>) //CHECK: ^bb1([[VAL0:%.+]]: tensor<i64>): //CHECK: [[VAL1:%.+]] = "mhlo.compare"([[VAL0]], [[VAL0]]) //CHECK: [[VAL2:%.+]] = extract_element [[VAL1]][] : tensor<i1> //CHECK: cond_br [[VAL2]], ^bb2([[VAL0]] : tensor<i64>), ^bb3([[VAL0]] : tensor<i64>) //CHECK: ^bb2([[VAL3:%.+]]: tensor<i64>): //CHECK: [[VAL4:%.+]] = mhlo.add [[VAL3]], [[VAL3]] //CHECK: br ^bb1([[VAL4]] : tensor<i64>) //CHECK: ^bb3([[VAL5:%.+]]: tensor<i64>): %0 = "mhlo.while"(%arg0) ( { ^bb0(%arg1: tensor<i64>): %1 = "mhlo.compare"(%arg1, %arg1) {comparison_direction = "LT", name = "compare.2"} : (tensor<i64>, tensor<i64>) -> tensor<i1> "mhlo.return"(%1) : (tensor<i1>) -> () }, { ^bb0(%arg1: tensor<i64>): %1 = mhlo.add %arg1, %arg1 {name = "compare.0"} : tensor<i64> "mhlo.return"(%1) : (tensor<i64>) -> () }) : (tensor<i64>) -> tensor<i64> // CHECK-NEXT: return [[VAL5]] return %0 : tensor<i64> } // CHECK-LABEL: func @conditional func @conditional(%arg0: tensor<f32>) -> tensor<f32> { // CHECK: [[C0:%.+]] = constant dense<1.000000e+01> : tensor<f32> %cst = constant dense<1.000000e+01> : tensor<f32> // CHECK: [[VAL0:%.+]] = "mhlo.compare"(%arg0, [[C0]]) {comparison_direction = "LT"} : (tensor<f32>, tensor<f32>) -> tensor<i1> %0 = "mhlo.compare"(%arg0, %cst) {comparison_direction = "LT"} : (tensor<f32>, tensor<f32>) -> tensor<i1> // CHECK: [[VAL1:%.+]] = extract_element [[VAL0]][] : tensor<i1> // CHECK: cond_br [[VAL1]], ^bb1(%arg0 : tensor<f32>), ^bb2(%arg0 : tensor<f32>) %1 = "mhlo.if"(%0, %arg0, %arg0) ( { ^bb0(%arg1: tensor<f32>): // CHECK: ^bb1([[VAL2:%.+]]: tensor<f32>): // CHECK: [[VAL3:%.+]] = "mhlo.log"([[VAL2]]) : (tensor<f32>) -> tensor<f32> // CHECK: br ^bb3([[VAL3]] : tensor<f32>) %2 = "mhlo.log"(%arg1) : (tensor<f32>) -> tensor<f32> "mhlo.return"(%2) : (tensor<f32>) -> () }, { ^bb0(%arg1: tensor<f32>): // CHECK: ^bb2([[VAL4:%.+]]: tensor<f32>): // CHECK: [[VAL5:%.+]] = "mhlo.exponential"([[VAL4]]) : (tensor<f32>) -> tensor<f32> // CHECK: br ^bb3([[VAL5]] : tensor<f32>) %2 = "mhlo.exponential"(%arg1) : (tensor<f32>) -> tensor<f32> "mhlo.return"(%2) : (tensor<f32>) -> () }) : (tensor<i1>, tensor<f32>, tensor<f32>) -> tensor<f32> // CHECK: ^bb3([[VAL6:%.+]]: tensor<f32>): // CHECK: return [[VAL6]] : tensor<f32> return %1 : tensor<f32> } // CHECK-LABEL: func @while_with_multiple_blocks_in_body(%arg0: tensor<i64>) -> tensor<i64> { func @while_with_multiple_blocks_in_body(%arg0: tensor<i64>) -> tensor<i64> { // CHECK: br ^[[COND_ENTRY:.+]](%arg0 : tensor<i64>) // CHECK: ^[[COND_ENTRY]](%0: tensor<i64>): // CHECK: %1 = "mhlo.compare"(%0, %0) {comparison_direction = "LT"} : (tensor<i64>, tensor<i64>) -> tensor<i1> // CHECK: %2 = extract_element %1[] : tensor<i1> // CHECK: cond_br %2, ^[[BODY_ENTRY:.+]](%0 : tensor<i64>), ^[[EXIT:.+]](%0 : tensor<i64>) // CHECK: ^[[BODY_ENTRY]](%3: tensor<i64>): // CHECK: br ^[[BODY_SUCC:.+]](%3 : tensor<i64>) // CHECK: ^[[BODY_SUCC]](%4: tensor<i64>): // CHECK: %5 = mhlo.add %4, %4 : tensor<i64> // CHECK: br ^[[COND_ENTRY]](%5 : tensor<i64>) // CHECK: ^[[EXIT]](%6: tensor<i64>): // CHECK: return %6 : tensor<i64> // CHECK: } %0 = "mhlo.while"(%arg0) ( { ^cond_entry(%arg1: tensor<i64>): %1 = "mhlo.compare"(%arg1, %arg1) {comparison_direction = "LT"} : (tensor<i64>, tensor<i64>) -> tensor<i1> "mhlo.return"(%1) : (tensor<i1>) -> () }, { ^body_entry(%arg1: tensor<i64>): br ^body_succ(%arg1: tensor<i64>) ^body_succ(%0: tensor<i64>): %1 = mhlo.add %0, %0 : tensor<i64> "mhlo.return"(%1) : (tensor<i64>) -> () }) : (tensor<i64>) -> tensor<i64> return %0 : tensor<i64> } // CHECK-LABEL: func @while_with_multiple_blocks_in_cond(%arg0: tensor<i64>) -> tensor<i64> { func @while_with_multiple_blocks_in_cond(%arg0: tensor<i64>) -> tensor<i64> { // CHECK: br ^[[COND_ENTRY:.+]](%arg0 : tensor<i64>) // CHECK: ^[[COND_ENTRY]](%0: tensor<i64>): // CHECK: br ^[[COND_SUCC:.+]](%0 : tensor<i64>) // CHECK: ^[[COND_SUCC]](%1: tensor<i64>): // CHECK: %2 = "mhlo.compare"(%1, %1) {comparison_direction = "LT"} : (tensor<i64>, tensor<i64>) -> tensor<i1> // CHECK: %3 = extract_element %2[] : tensor<i1> // CHECK: cond_br %3, ^[[BODY_ENTRY:.+]](%0 : tensor<i64>), ^[[EXIT:.+]](%0 : tensor<i64>) // CHECK: ^[[BODY_ENTRY]](%4: tensor<i64>): // CHECK: br ^[[COND_ENTRY]](%4 : tensor<i64>) // CHECK: ^[[EXIT]](%5: tensor<i64>): // CHECK: return %5 : tensor<i64> // CHECK: } %0 = "mhlo.while"(%arg0) ( { ^cond_entry(%arg1: tensor<i64>): br ^cond_succ(%arg1: tensor<i64>) ^cond_succ(%0: tensor<i64>): %1 = "mhlo.compare"(%0, %0) {comparison_direction = "LT"} : (tensor<i64>, tensor<i64>) -> tensor<i1> "mhlo.return"(%1) : (tensor<i1>) -> () }, { ^body_entry(%arg1: tensor<i64>): "mhlo.return"(%arg1) : (tensor<i64>) -> () }) : (tensor<i64>) -> tensor<i64> return %0 : tensor<i64> } // CHECK-LABEL: func @conditional_with_multiple_blocks(%arg0: tensor<f32>, %arg1: tensor<f32>, %arg2: tensor<i1>) -> tensor<f32> { func @conditional_with_multiple_blocks(%arg0: tensor<f32>, %arg1: tensor<f32>, %pred: tensor<i1>) -> tensor<f32> { // CHECK: %0 = extract_element %arg2[] : tensor<i1> // CHECK: cond_br %0, ^[[THEN_ENTRY:.+]](%arg0 : tensor<f32>), ^[[ELSE_ENTRY:.+]](%arg1 : tensor<f32>) // CHECK: ^[[THEN_ENTRY]](%1: tensor<f32>): // CHECK: br ^[[THEN_SUCC:.+]](%1 : tensor<f32>) // CHECK: ^[[THEN_SUCC]](%2: tensor<f32>): // CHECK: %3 = "mhlo.log"(%2) : (tensor<f32>) -> tensor<f32> // CHECK: br ^[[EXIT:.+]](%3 : tensor<f32>) // CHECK: ^[[ELSE_ENTRY]](%4: tensor<f32>): // CHECK: %5 = "mhlo.exponential"(%4) : (tensor<f32>) -> tensor<f32> // CHECK: br ^[[EXIT]](%5 : tensor<f32>) // CHECK: ^[[EXIT]](%6: tensor<f32>): // CHECK: return %6 : tensor<f32> // CHECK: } %1 = "mhlo.if"(%pred, %arg0, %arg1) ( { ^then_entry(%arg2: tensor<f32>): br ^then_succ(%arg2: tensor<f32>) ^then_succ(%0: tensor<f32>): %2 = "mhlo.log"(%0) : (tensor<f32>) -> tensor<f32> "mhlo.return"(%2) : (tensor<f32>) -> () }, { ^else_entry(%arg2: tensor<f32>): %2 = "mhlo.exponential"(%arg2) : (tensor<f32>) -> tensor<f32> "mhlo.return"(%2) : (tensor<f32>) -> () }) : (tensor<i1>, tensor<f32>, tensor<f32>) -> tensor<f32> return %1 : tensor<f32> }