input_shape_attr.getValues<int32_t>().end());
    } else {
      auto pack = op.getInputSizes().template getDefiningOp<TF::PackOp>();
      if (!pack || pack.getAxis() != 0) return failure();
      auto pack_ty = mlir::dyn_cast<RankedTensorType>(pack.getType());
      if (!pack_ty || pack_ty.getRank() != 1) return failure();
      for (auto i = 0; i < pack_ty.getDimSize(0); ++i) {

  func.return
}

//===----------------------------------------------------------------------===//
// tf.Unpack legalization
//===----------------------------------------------------------------------===//

// -----

// CHECK-LABEL: @unpack
func.func @unpack(%input: tensor<4x3x6xf32>) -> (tensor<4x6xf32>, tensor<4x6xf32>, tensor<4x6xf32>) {

- Kubelet: Silenced flag output on errors. ([#110728](https://github.com/kubernetes/kubernetes/pull/110728), [@howardjohn](https://github.com/howardjohn))
- Kubernetes binaries are now built-in `module` mode instead of `GOPATH` mode. ([#109464](https://github.com/kubernetes/kubernetes/pull/109464), [@liggitt](https://github.com/liggitt))

  // CHECK: return %[[CONV]]
}

// CHECK-LABEL: fuseUnpackAndConcatToReshape
func.func @fuseUnpackAndConcatToReshape(%arg0: tensor<1x3x2xf32>) -> tensor<1x6xf32> {
  %0:3 = "tfl.unpack"(%arg0) {axis = 1 : i32, num = 3 : i32} : (tensor<1x3x2xf32>) -> (tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>)

        "type": "object"...

        "type": "object"...