This commit improves the `allowPatternRollback` flag handling in the dialect conversion driver. Previously, this flag was used to merely detect cases that are incompatible with the new One-Shot Dialect Conversion driver. This commit implements the driver itself: when the flag is set to "false", all IR changes are materialized immediately, bypassing the `IRRewrite` and `ConversionValueMapping` infrastructure. A few selected test cases now run with both the old and the new driver. RFC: https://discourse.llvm.org/t/rfc-a-new-one-shot-dialect-conversion-driver/79083
76 lines
3.0 KiB
MLIR
76 lines
3.0 KiB
MLIR
// RUN: mlir-opt %s -generate-runtime-verification \
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// RUN: -one-shot-bufferize="bufferize-function-boundaries" \
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// RUN: -buffer-deallocation-pipeline=private-function-dynamic-ownership \
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// RUN: -test-cf-assert \
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// RUN: -convert-scf-to-cf \
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// RUN: -convert-to-llvm | \
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// RUN: mlir-runner -e main -entry-point-result=void \
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// RUN: -shared-libs=%tlir_runner_utils 2>&1 | \
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// RUN: FileCheck %s
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// RUN: mlir-opt %s -generate-runtime-verification \
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// RUN: -one-shot-bufferize="bufferize-function-boundaries" \
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// RUN: -buffer-deallocation-pipeline=private-function-dynamic-ownership \
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// RUN: -test-cf-assert \
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// RUN: -convert-scf-to-cf \
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// RUN: -convert-to-llvm="allow-pattern-rollback=0" \
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// RUN: -reconcile-unrealized-casts | \
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// RUN: mlir-runner -e main -entry-point-result=void \
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// RUN: -shared-libs=%tlir_runner_utils 2>&1 | \
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// RUN: FileCheck %s
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func.func @extract(%tensor: tensor<1xf32>, %index: index) {
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tensor.extract %tensor[%index] : tensor<1xf32>
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return
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}
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func.func @extract_dynamic(%tensor: tensor<?xf32>, %index: index) {
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tensor.extract %tensor[%index] : tensor<?xf32>
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return
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}
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func.func @extract_nd_dynamic(%tensor: tensor<?x?x?xf32>, %index0: index, %index1: index, %index2: index) {
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tensor.extract %tensor[%index0, %index1, %index2] : tensor<?x?x?xf32>
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return
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}
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func.func @main() {
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%0 = arith.constant 0 : index
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%1 = arith.constant 1 : index
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%n1 = arith.constant -1 : index
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%2 = arith.constant 2 : index
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%alloca_1 = tensor.empty() : tensor<1xf32>
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%alloc_1 = tensor.empty(%1) : tensor<?xf32>
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%alloc_2x2x2 = tensor.empty(%2, %2, %2) : tensor<?x?x?xf32>
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// CHECK: ERROR: Runtime op verification failed
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// CHECK-NEXT: "tensor.extract"(%{{.*}}, %{{.*}}) : (tensor<1xf32>, index) -> f32
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// CHECK-NEXT: ^ out-of-bounds access
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// CHECK-NEXT: Location: loc({{.*}})
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func.call @extract(%alloca_1, %1) : (tensor<1xf32>, index) -> ()
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// CHECK: ERROR: Runtime op verification failed
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// CHECK-NEXT: "tensor.extract"(%{{.*}}, %{{.*}}) : (tensor<?xf32>, index) -> f32
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// CHECK-NEXT: ^ out-of-bounds access
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// CHECK-NEXT: Location: loc({{.*}})
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func.call @extract_dynamic(%alloc_1, %1) : (tensor<?xf32>, index) -> ()
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// CHECK: ERROR: Runtime op verification failed
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// CHECK-NEXT: "tensor.extract"(%{{.*}}, %{{.*}}) : (tensor<?x?x?xf32>, index, index, index) -> f32
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// CHECK-NEXT: ^ out-of-bounds access
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// CHECK-NEXT: Location: loc({{.*}})
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func.call @extract_nd_dynamic(%alloc_2x2x2, %1, %n1, %0) : (tensor<?x?x?xf32>, index, index, index) -> ()
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// CHECK-NOT: ERROR: Runtime op verification failed
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func.call @extract(%alloca_1, %0) : (tensor<1xf32>, index) -> ()
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// CHECK-NOT: ERROR: Runtime op verification failed
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func.call @extract_dynamic(%alloc_1, %0) : (tensor<?xf32>, index) -> ()
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// CHECK-NOT: ERROR: Runtime op verification failed
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func.call @extract_nd_dynamic(%alloc_2x2x2, %1, %1, %0) : (tensor<?x?x?xf32>, index, index, index) -> ()
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return
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}
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