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1// RUN: mlir-opt -one-shot-bufferize="bufferize-function-boundaries" -split-input-file %s | FileCheck %s2// RUN: mlir-opt -one-shot-bufferize -split-input-file %s | FileCheck %s --check-prefix=CHECK-NO-FUNC3 4// CHECK-NO-FUNC-LABEL: func @br(5// CHECK-NO-FUNC-SAME: %[[t:.*]]: tensor<5xf32>)6// CHECK-NO-FUNC: %[[m:.*]] = bufferization.to_buffer %[[t]] : tensor<5xf32> to memref<5xf32, strided<[?], offset: ?>>7// CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {8// CHECK-NO-FUNC: cf.br ^[[block:.*]](%[[m]]9// CHECK-NO-FUNC: ^[[block]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):10// CHECK-NO-FUNC: scf.yield %[[arg1]]11// CHECK-NO-FUNC: }12// CHECK-NO-FUNC: return13func.func @br(%t: tensor<5xf32>) {14 %0 = scf.execute_region -> tensor<5xf32> {15 cf.br ^bb1(%t : tensor<5xf32>)16 ^bb1(%arg1 : tensor<5xf32>):17 scf.yield %arg1 : tensor<5xf32>18 }19 return20}21 22// -----23 24// CHECK-NO-FUNC-LABEL: func @cond_br(25// CHECK-NO-FUNC-SAME: %[[t1:.*]]: tensor<5xf32>,26// CHECK-NO-FUNC: %[[m1:.*]] = bufferization.to_buffer %[[t1]] : tensor<5xf32> to memref<5xf32, strided<[?], offset: ?>>27// CHECK-NO-FUNC: %[[alloc:.*]] = memref.alloc() {{.*}} : memref<5xf32>28// CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {29// CHECK-NO-FUNC: cf.cond_br %{{.*}}, ^[[block1:.*]](%[[m1]] : {{.*}}), ^[[block2:.*]](%[[alloc]] : {{.*}})30// CHECK-NO-FUNC: ^[[block1]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):31// CHECK-NO-FUNC: scf.yield %[[arg1]]32// CHECK-NO-FUNC: ^[[block2]](%[[arg2:.*]]: memref<5xf32>):33// CHECK-NO-FUNC: %[[cast:.*]] = memref.cast %[[arg2]] : memref<5xf32> to memref<5xf32, strided<[?], offset: ?>34// CHECK-NO-FUNC: cf.br ^[[block1]](%[[cast]] : {{.*}})35// CHECK-NO-FUNC: }36// CHECK-NO-FUNC: return37func.func @cond_br(%t1: tensor<5xf32>, %c: i1) {38 // Use an alloc for the second block instead of a function block argument.39 // A cast must be inserted because the two will have different layout maps.40 %t0 = bufferization.alloc_tensor() : tensor<5xf32>41 %0 = scf.execute_region -> tensor<5xf32> {42 cf.cond_br %c, ^bb1(%t1 : tensor<5xf32>), ^bb2(%t0 : tensor<5xf32>)43 ^bb1(%arg1 : tensor<5xf32>):44 scf.yield %arg1 : tensor<5xf32>45 ^bb2(%arg2 : tensor<5xf32>):46 cf.br ^bb1(%arg2 : tensor<5xf32>)47 }48 return49}50 51// -----52 53// CHECK-LABEL: func @looping_branches(54func.func @looping_branches() -> tensor<5xf32> {55// CHECK: %[[alloc:.*]] = memref.alloc56 %0 = bufferization.alloc_tensor() : tensor<5xf32>57// CHECK: cf.br {{.*}}(%[[alloc]]58 cf.br ^bb1(%0: tensor<5xf32>)59// CHECK: ^{{.*}}(%[[arg1:.*]]: memref<5xf32>):60^bb1(%arg1: tensor<5xf32>):61 %pos = "test.foo"() : () -> (index)62 %val = "test.bar"() : () -> (f32)63// CHECK: memref.store %{{.*}}, %[[arg1]]64 %inserted = tensor.insert %val into %arg1[%pos] : tensor<5xf32>65 %cond = "test.qux"() : () -> (i1)66// CHECK: cf.cond_br {{.*}}(%[[arg1]] {{.*}}(%[[arg1]]67 cf.cond_br %cond, ^bb1(%inserted: tensor<5xf32>), ^bb2(%inserted: tensor<5xf32>)68// CHECK: ^{{.*}}(%[[arg2:.*]]: memref<5xf32>):69^bb2(%arg2: tensor<5xf32>):70// CHECK: return %[[arg2]]71 func.return %arg2 : tensor<5xf32>72}73