ConvertFusedBatchNormBase<TF::FusedBatchNormV2Op>;
using ConvertFusedBatchNormV3Op =
    ConvertFusedBatchNormBase<TF::FusedBatchNormV3Op>;

using PaddingArray = std::vector<std::pair<int64_t, int64_t>>;

// Returns padding values for ReduceWindow op as a vector of pairs.
//
// Requires padding to be either 'SAME' or 'VALID' and the number of input
// dimensions to be equal to the size of window dimensions and window strides.

}

type DmTargetDeps struct {
	Count uint32
	_     uint32
}

type DmTargetVersions struct {
	Next    uint32
	Version [3]uint32
}

type DmTargetMsg struct {
	Sector uint64
}

const (
	SizeofDmIoctl      = 0x138
	SizeofDmTargetSpec = 0x28
)

type KeyctlDHParams struct {
	Private int32
	Prime   int32
	Base    int32
}

const (

	update       svcTestCase
}

type svcTestCase struct {
	svc         *api.Service
	expectError bool

	// We could calculate these by looking at the Service, but that's a
	// vector for test bugs and more importantly it makes the test cases less
	// self-documenting.
	expectClusterIPs          bool
	expectStackDowngrade      bool
	expectHeadless            bool
	expectNodePorts           bool

  // In this case, the `begin` and `end` inputs are unknown at compile time --
  // so the StridedSlice needs to slice these vectors and use that as input to
  // an HLO dynamic slice.
  %begin = "tf.Pack"(%arg0) {N = 1 : i64, T = i32, axis = 0 : i64, device = ""} : (tensor<i32>) -> tensor<1xi32>