73 lines
3.2 KiB
MLIR
73 lines
3.2 KiB
MLIR
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// RUN: mlir-opt -one-shot-bufferize="bufferize-function-boundaries" -split-input-file %s | FileCheck %s
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// RUN: mlir-opt -one-shot-bufferize -split-input-file %s | FileCheck %s --check-prefix=CHECK-NO-FUNC
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// CHECK-NO-FUNC-LABEL: func @br(
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// CHECK-NO-FUNC-SAME: %[[t:.*]]: tensor<5xf32>)
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// CHECK-NO-FUNC: %[[m:.*]] = bufferization.to_memref %[[t]] : memref<5xf32, strided<[?], offset: ?>>
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// CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {
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// CHECK-NO-FUNC: cf.br ^[[block:.*]](%[[m]]
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// CHECK-NO-FUNC: ^[[block]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):
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// CHECK-NO-FUNC: scf.yield %[[arg1]]
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// CHECK-NO-FUNC: }
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// CHECK-NO-FUNC: return
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func.func @br(%t: tensor<5xf32>) {
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%0 = scf.execute_region -> tensor<5xf32> {
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cf.br ^bb1(%t : tensor<5xf32>)
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^bb1(%arg1 : tensor<5xf32>):
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scf.yield %arg1 : tensor<5xf32>
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}
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return
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}
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// -----
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// CHECK-NO-FUNC-LABEL: func @cond_br(
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// CHECK-NO-FUNC-SAME: %[[t1:.*]]: tensor<5xf32>,
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// CHECK-NO-FUNC: %[[m1:.*]] = bufferization.to_memref %[[t1]] : memref<5xf32, strided<[?], offset: ?>>
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// CHECK-NO-FUNC: %[[alloc:.*]] = memref.alloc() {{.*}} : memref<5xf32>
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// CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {
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// CHECK-NO-FUNC: cf.cond_br %{{.*}}, ^[[block1:.*]](%[[m1]] : {{.*}}), ^[[block2:.*]](%[[alloc]] : {{.*}})
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// CHECK-NO-FUNC: ^[[block1]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):
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// CHECK-NO-FUNC: scf.yield %[[arg1]]
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// CHECK-NO-FUNC: ^[[block2]](%[[arg2:.*]]: memref<5xf32>):
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// CHECK-NO-FUNC: %[[cast:.*]] = memref.cast %[[arg2]] : memref<5xf32> to memref<5xf32, strided<[?], offset: ?>
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// CHECK-NO-FUNC: cf.br ^[[block1]](%[[cast]] : {{.*}})
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// CHECK-NO-FUNC: }
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// CHECK-NO-FUNC: return
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func.func @cond_br(%t1: tensor<5xf32>, %c: i1) {
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// Use an alloc for the second block instead of a function block argument.
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// A cast must be inserted because the two will have different layout maps.
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%t0 = bufferization.alloc_tensor() : tensor<5xf32>
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%0 = scf.execute_region -> tensor<5xf32> {
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cf.cond_br %c, ^bb1(%t1 : tensor<5xf32>), ^bb2(%t0 : tensor<5xf32>)
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^bb1(%arg1 : tensor<5xf32>):
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scf.yield %arg1 : tensor<5xf32>
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^bb2(%arg2 : tensor<5xf32>):
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cf.br ^bb1(%arg2 : tensor<5xf32>)
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}
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return
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}
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// -----
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// CHECK-LABEL: func @looping_branches(
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func.func @looping_branches() -> tensor<5xf32> {
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// CHECK: %[[alloc:.*]] = memref.alloc
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%0 = bufferization.alloc_tensor() : tensor<5xf32>
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// CHECK: cf.br {{.*}}(%[[alloc]]
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cf.br ^bb1(%0: tensor<5xf32>)
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// CHECK: ^{{.*}}(%[[arg1:.*]]: memref<5xf32>):
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^bb1(%arg1: tensor<5xf32>):
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%pos = "test.foo"() : () -> (index)
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%val = "test.bar"() : () -> (f32)
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// CHECK: memref.store %{{.*}}, %[[arg1]]
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%inserted = tensor.insert %val into %arg1[%pos] : tensor<5xf32>
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%cond = "test.qux"() : () -> (i1)
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// CHECK: cf.cond_br {{.*}}(%[[arg1]] {{.*}}(%[[arg1]]
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cf.cond_br %cond, ^bb1(%inserted: tensor<5xf32>), ^bb2(%inserted: tensor<5xf32>)
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// CHECK: ^{{.*}}(%[[arg2:.*]]: memref<5xf32>):
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^bb2(%arg2: tensor<5xf32>):
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// CHECK: return %[[arg2]]
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func.return %arg2 : tensor<5xf32>
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}
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