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1// RUN: mlir-opt --transform-interpreter %s | FileCheck %s2 3// CHECK-LABEL: func.func @generalize_unary4func.func @generalize_unary(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {5 6 // CHECK-NOT: linalg.exp7 // CHECK: linalg.generic8 %0 = linalg.exp ins(%arg0 : tensor<?x?xf32>)9 outs(%arg1: tensor<?x?xf32>) -> tensor<?x?xf32>10 return %0 : tensor<?x?xf32>11}12 13// CHECK-LABEL: func @map_no_inputs(14func.func @map_no_inputs(%input: tensor<16x32x64xf32>,15 %init: tensor<16x64xf32>) -> tensor<16x64xf32> {16 // CHECK-NOT: linalg.map17 // CHECK: linalg.generic18 %reduce = linalg.reduce19 ins(%input:tensor<16x32x64xf32>)20 outs(%init:tensor<16x64xf32>)21 dimensions = [1]22 (%in: f32, %out: f32) {23 %0 = arith.addf %out, %in: f3224 linalg.yield %0: f3225 }26 func.return %reduce : tensor<16x64xf32>27}28module attributes {transform.with_named_sequence} {29 transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {30 %0 = transform.structured.match interface{LinalgOp} in %arg1 : (!transform.any_op) -> !transform.any_op31 %1 = transform.structured.generalize %0 : (!transform.any_op) -> !transform.any_op32 transform.yield33 }34}35