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53 lines
1.9 KiB
MLIR
53 lines
1.9 KiB
MLIR
// RUN: mlir-opt %s -generate-runtime-verification | FileCheck %s
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// RUN: mlir-opt %s --generate-runtime-verification="verbose-level=0" | FileCheck %s --check-prefix=VERBOSE0
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// Most of the tests for linalg runtime-verification are implemented as integration tests.
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#identity = affine_map<(d0) -> (d0)>
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// CHECK-LABEL: @static_dims
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// VERBOSE0-LABEL: @static_dims
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func.func @static_dims(%arg0: tensor<5xf32>, %arg1: tensor<5xf32>) -> (tensor<5xf32>) {
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// CHECK: %[[TRUE:.*]] = index.bool.constant true
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// CHECK: cf.assert %[[TRUE]]
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// VERBOSE0: %[[TRUE:.*]] = index.bool.constant true
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// VERBOSE0: cf.assert %[[TRUE]]
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// VERBOSE0-SAME: ERROR: Runtime op verification failed\0A^ unexpected negative result on dimension #0
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// VERBOSE0-SAME: Location
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// VERBOSE0-SAME: 19:10
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%result = tensor.empty() : tensor<5xf32>
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%0 = linalg.generic {
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indexing_maps = [#identity, #identity, #identity],
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iterator_types = ["parallel"]
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} ins(%arg0, %arg1 : tensor<5xf32>, tensor<5xf32>)
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outs(%result : tensor<5xf32>) {
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^bb0(%gen_arg1: f32, %gen_arg2: f32, %out: f32) :
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%tmp1 = arith.addf %gen_arg1, %gen_arg2 : f32
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linalg.yield %tmp1 : f32
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} -> tensor<5xf32>
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return %0 : tensor<5xf32>
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}
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// -----
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#map = affine_map<() -> ()>
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// CHECK-LABEL: @scalars
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// VERBOSE1-LABEL: @scalars
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func.func @scalars(%arg0: tensor<f32>, %arg1: tensor<f32>) -> (tensor<f32>) {
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// No runtime checks are required if the operands are all scalars
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// CHECK-NOT: cf.assert
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// VERBOSE1-NOT: cf.assert
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%result = tensor.empty() : tensor<f32>
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%0 = linalg.generic {
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indexing_maps = [#map, #map, #map],
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iterator_types = []
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} ins(%arg0, %arg1 : tensor<f32>, tensor<f32>)
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outs(%result : tensor<f32>) {
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^bb0(%gen_arg1: f32, %gen_arg2: f32, %out: f32) :
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%tmp1 = arith.addf %gen_arg1, %gen_arg2 : f32
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linalg.yield %tmp1 : f32
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} -> tensor<f32>
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return %0 : tensor<f32>
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}
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