// OK
   %0 = "tf.Conv2D"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
   // Unsupported data format

// CHECK-SAME:  (%[[VAR_HANDLE:.*]]: tensor<*x!tf_type.resource>, %[[MS_HANDLE:.*]]: tensor<*x!tf_type.resource>, %[[MOM_HANDLE:.*]]: tensor<*x!tf_type.resource>,
// CHECK-SAME:   %[[LR:.*]]: tensor<f32>, %[[RHO:.*]]: tensor<f32>, %[[MOMENTUM:.*]]: tensor<f32>, %[[EPSILON:.*]]: tensor<f32>, %[[GRAD:.*]]: tensor<f32>)

    : (tensor<!tf_type.resource<tensor<f32>>>, tensor<!tf_type.resource<tensor<f32>>>, tensor<f32>)
    -> (tensor<!tf_type.resource<tensor<f32>>>, tensor<!tf_type.resource<tensor<f32>>>, tensor<f32>)
    tf_executor.fetch
  }
  func.return
}

// -----

!tf_res = tensor<!tf_type.resource<tensor<f32>>>
!tf_str = tensor<3x!tf_type.string>

//...

%outputs_18, %outputs, %outputs_14, %outputs_28, %arg0) {T = [i32, i32, i32, !tf_type.variant, !tf_type.variant, f32], _lower_using_switch_merge = true, _num_original_outputs = 6 : i64, _read_only_resource_inputs = [], body = @map_while_body_180, cond = @map_while_cond_170, device = "", is_stateless = true, output_shapes = [#tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<?>], parallel_iterations = 4 : i64, shape_invariant} : (tensor<i32>, tensor<i32>,...

// CHECK-SAME: (%[[ARG_0:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_1:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_2:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_3:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_4:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>)

    %0 = "quantfork.stats"(%arg0) {layerStats = dense<[6.00000000e-6, 9.00000000e-1]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>

func (t *interfaceType) nameOff(off aNameOff) abi.Name {
	return toRType(&t.Type).nameOff(off)
}

func nameOffFor(t *abi.Type, off aNameOff) abi.Name {
	return toRType(t).nameOff(off)
}

func typeOffFor(t *abi.Type, off aTypeOff) *abi.Type {
	return toRType(t).typeOff(off)
}

func (t *interfaceType) typeOff(off aTypeOff) *abi.Type {
	return toRType(&t.Type).typeOff(off)
}

func (sid *SID) Equals(sid2 *SID) bool {
	return EqualSid(sid, sid2)
}

// IsWellKnown determines whether the SID matches the well-known sidType.
func (sid *SID) IsWellKnown(sidType WELL_KNOWN_SID_TYPE) bool {
	return isWellKnownSid(sid, sidType)
}

// LookupAccount retrieves the name of the account for this SID
// and the name of the first domain on which this SID is found.

func (p *Package) recordTypedefs(dtype dwarf.Type, pos token.Pos) {
	p.recordTypedefs1(dtype, pos, map[dwarf.Type]bool{})
}

func (p *Package) recordTypedefs1(dtype dwarf.Type, pos token.Pos, visited map[dwarf.Type]bool) {
	if dtype == nil {
		return
	}
	if visited[dtype] {
		return
	}
	visited[dtype] = true
	switch dt := dtype.(type) {
	case *dwarf.TypedefType: