67 lines
2.5 KiB
MLIR
67 lines
2.5 KiB
MLIR
// RUN: mlir-hlo-opt %s -split-input-file -pass-pipeline='func(canonicalize)' | FileCheck %s
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// -----
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// CHECK-LABEL: func @noop
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// CHECK-SAME: (%[[ARG0:.*]]: tensor<4x8xf32>)
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// CHECK: return %[[ARG0]]
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func @noop(%arg0: tensor<4x8xf32>) -> tensor<4x8xf32> {
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%0 = mhlo.constant dense<0.000000e+00> : tensor<f32>
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%2 = "mhlo.reduce"(%arg0, %0) ( {
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^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
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%4 = mhlo.add %arg1, %arg2 : tensor<f32>
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"mhlo.return"(%4) : (tensor<f32>) -> ()
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}) {dimensions = dense<[]> : tensor<0xi64>} : (tensor<4x8xf32>, tensor<f32>) -> tensor<4x8xf32>
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return %2 : tensor<4x8xf32>
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}
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// -----
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// CHECK-LABEL: func @and_fold
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func @and_fold() -> (tensor<i1>, tensor<i1>) {
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%0 = mhlo.constant dense<true> : tensor<2xi1>
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%2 = mhlo.constant dense<true> : tensor<i1>
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%3 = mhlo.constant dense<false> : tensor<i1>
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%4 = "mhlo.reduce"(%0, %2) ( {
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^bb0(%arg2: tensor<i1>, %arg3: tensor<i1>):
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%11 = mhlo.and %arg2, %arg3 : tensor<i1>
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"mhlo.return"(%11) : (tensor<i1>) -> ()
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}) {dimensions = dense<0> : tensor<1xi64>} : (tensor<2xi1>, tensor<i1>) -> tensor<i1>
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%5 = "mhlo.reduce"(%0, %3) ( {
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^bb0(%arg4: tensor<i1>, %arg5: tensor<i1>):
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%12 = mhlo.and %arg4, %arg5 : tensor<i1>
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"mhlo.return"(%12) : (tensor<i1>) -> ()
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}) {dimensions = dense<0> : tensor<1xi64>} : (tensor<2xi1>, tensor<i1>) -> tensor<i1>
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return %4, %5 : tensor<i1>, tensor<i1>
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// CHECK: %[[CST:.*]] = mhlo.constant dense<true> : tensor<i1>
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// CHECK: %[[CST1:.*]] = mhlo.constant dense<false> : tensor<i1>
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// CHECK: return %[[CST]], %[[CST1]] : tensor<i1>, tensor<i1>
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}
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// -----
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// CHECK-LABEL: func @or_fold
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func @or_fold() -> (tensor<i1>, tensor<i1>) {
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%0 = mhlo.constant dense<false> : tensor<2xi1>
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%2 = mhlo.constant dense<false> : tensor<i1>
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%3 = mhlo.constant dense<true> : tensor<i1>
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%4 = "mhlo.reduce"(%0, %2) ( {
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^bb0(%arg2: tensor<i1>, %arg3: tensor<i1>):
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%11 = mhlo.or %arg2, %arg3 : tensor<i1>
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"mhlo.return"(%11) : (tensor<i1>) -> ()
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}) {dimensions = dense<0> : tensor<1xi64>} : (tensor<2xi1>, tensor<i1>) -> tensor<i1>
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%5 = "mhlo.reduce"(%0, %3) ( {
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^bb0(%arg4: tensor<i1>, %arg5: tensor<i1>):
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%12 = mhlo.or %arg4, %arg5 : tensor<i1>
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"mhlo.return"(%12) : (tensor<i1>) -> ()
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}) {dimensions = dense<0> : tensor<1xi64>} : (tensor<2xi1>, tensor<i1>) -> tensor<i1>
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return %4, %5 : tensor<i1>, tensor<i1>
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// CHECK: %[[CST:.*]] = mhlo.constant dense<false> : tensor<i1>
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// CHECK: %[[CST1:.*]] = mhlo.constant dense<true> : tensor<i1>
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// CHECK: return %[[CST]], %[[CST1]] : tensor<i1>, tensor<i1>
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}
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