tf_executor.fetch %outputs#1, %outputs#0 : tensor<2x2x1x2xi32>, tensor<2x2x1x2xf32>
    }
    func.return %0#0, %0#1 : tensor<2x2x1x2xi32>, tensor<2x2x1x2xf32>
  }
}

// CHECK:        name: "serving_default_x"
// CHECK-NEXT:   op: "_Arg"

  // CHECK: %[[TRANSPOSE:.*]] = "mhlo.transpose"(%[[RESHAPE]])
  // CHECK-SAME: permutation = dense<[0, 1, 3, 2, 4]>
  // CHECK-SAME: (tensor<2x2x5x3x7xf32>) -> tensor<2x2x3x5x7xf32>
  // CHECK: mhlo.reshape %[[TRANSPOSE]] : (tensor<2x2x3x5x7xf32>) -> tensor<2x2x15x7xf32>

  %result = "tf.Conv2DBackpropInput"(%input_sizes, %filter, %out_backprop) {
    data_format = "NHWC",
    dilations = [1, 1, 1, 1],
    explicit_paddings = [],

  // CHECK: %[[v0:.*]] = "tf.Reshape"(%arg0, %[[cst]]) : (tensor<2x5x7xf32>, tensor<4xi64>) -> tensor<2x5x1x7xf32>
  // CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%[[v0]], %arg1) <{adj_x = false, adj_y = false}> : (tensor<2x5x1x7xf32>, tensor<2x5x7x3xf32>) -> tensor<2x5x1x3xf32>
  // CHECK: %[[v2:.*]] = "tf.Reshape"(%[[v1]], %[[cst_1]]) : (tensor<2x5x1x3xf32>, tensor<3xi64>) -> tensor<2x5x3xf32>

    %12 = "tf.Mul"(%11, %cst) {device = ""} : (tensor<2x2x1x3xf32>, tensor<f32>) -> tensor<2x2x1x3xf32>
    %13 = "tf.Identity"(%12) {device = ""} : (tensor<2x2x1x3xf32>) -> tensor<2x2x1x3xf32>
    %14 = "tf.Identity"(%13) {device = ""} : (tensor<2x2x1x3xf32>) -> tensor<2x2x1x3xf32>
    return %14 : tensor<2x2x1x3xf32>
  }

func.func @StridedSliceEllipsisMaskBefore(%arg0: tensor<21x15x7xf32>) -> tensor<21x15x2xf32> {
  %cst = arith.constant dense<0> : tensor<2xi32>
  %cst_0 = arith.constant dense<1> : tensor<2xi32>
  %0 = "tf.StridedSlice"(%arg0, %cst, %cst, %cst_0) {begin_mask = 0 : i64, ellipsis_mask = 1 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<21x15x7xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<21x15x2xf32>

func.func @testBiasAdd(%arg0: tensor<2x3x5x7xf32>, %arg1: tensor<5x7xf32>) -> tensor<2x3x5x7xf32> {
  // expected-error @+1 {{requires bias operand to have rank exactly one}}
  %0 = "tf.BiasAdd"(%arg0, %arg1) {data_format = "NHWC"} : (tensor<2x3x5x7xf32>, tensor<5x7xf32>) -> tensor<2x3x5x7xf32>
  func.return %0 : tensor<2x3x5x7xf32>
}

// -----

func.func @testBiasAdd(%arg0: tensor<2x3x5x7xf32>, %arg1: tensor<5xf32>) -> tensor<2x3x5x7xf32> {