llvm/mlir/test/Dialect/Transform/test-pass-application.mlir

// RUN: mlir-opt %s --transform-interpreter -allow-unregistered-dialect --split-input-file --verify-diagnostics | FileCheck %s

// CHECK-LABEL: func @successful_pass_application(
//       CHECK:   %[[c5:.*]] = arith.constant 5 : index
//       CHECK:   return %[[c5]]
func.func @successful_pass_application(%t: tensor<5xf32>) -> index {
  %c0 = arith.constant 0 : index
  %dim = tensor.dim %t, %c0 : tensor<5xf32>
  return %dim : index
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    transform.apply_registered_pass "canonicalize" to %1 : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

// CHECK-LABEL: func @pass_pipeline(
func.func @pass_pipeline() {
  return
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    // This pipeline does not do anything. Just make sure that the pipeline is
    // found and no error is produced.
    transform.apply_registered_pass "test-options-pass-pipeline" to %1 : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

func.func @invalid_pass_name() {
  return
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    // expected-error @below {{unknown pass or pass pipeline: non-existing-pass}}
    transform.apply_registered_pass "non-existing-pass" to %1 : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

func.func @not_isolated_from_above(%t: tensor<5xf32>) -> index {
  %c0 = arith.constant 0 : index
  // expected-note @below {{target op}}
  // expected-error @below {{trying to schedule a pass on an operation not marked as 'IsolatedFromAbove'}}
  %dim = tensor.dim %t, %c0 : tensor<5xf32>
  return %dim : index
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["tensor.dim"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    // expected-error @below {{pass pipeline failed}}
    transform.apply_registered_pass "canonicalize" to %1 : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

func.func @invalid_pass_option() {
  return
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    // expected-error @below {{failed to add pass or pass pipeline to pipeline: canonicalize}}
    // expected-error @below {{<Pass-Options-Parser>: no such option invalid-option}}
    transform.apply_registered_pass "canonicalize" to %1 {options = "invalid-option=1"} : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

// CHECK-LABEL: func @valid_pass_option()
func.func @valid_pass_option() {
  return
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op
    transform.apply_registered_pass "canonicalize" to %1 {options = "top-down=false"} : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}

// -----

module attributes {transform.with_named_sequence} {
  // expected-error @below {{trying to schedule a pass on an unsupported operation}}
  // expected-note @below {{target op}}
  func.func @invalid_target_op_type() {
    return
  }

  transform.named_sequence @__transform_main(%arg1: !transform.any_op) {
    %1 = transform.structured.match ops{["func.func"]} in %arg1 : (!transform.any_op) -> !transform.any_op

    // func-bufferize can be applied only to ModuleOps.
    // expected-error @below {{pass pipeline failed}}
    transform.apply_registered_pass "func-bufferize" to %1 : (!transform.any_op) -> !transform.any_op
    transform.yield
  }
}