%0 = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<1x2x3x4x5x6xf32>, tensor<*xi32>) -> tensor<7x8x1x2x3x4x5x6xf32>
  func.return %0: tensor<7x8x1x2x3x4x5x6xf32>

// CHECK-LABEL: broadcast_to_high_dim_with_unknown_shape
// CHECK:  [[BCT:%.*]] = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<1x2x3x4x5x6xf32>, tensor<*xi32>) -> tensor<7x8x1x2x3x4x5x6xf32>

// CHECK:           %[[VAL_8:.*]] = "tf.Select"(%[[VAL_2]], %[[VAL_3]], %[[VAL_7]]) : (tensor<1x2x3x4xi1>, tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>) -> tensor<1x2x3x4xf32>
// CHECK:           return %[[VAL_8]] : tensor<1x2x3x4xf32>
// CHECK:         }
func.func @sign(%arg0: tensor<1x2x3x4xf32>, %arg1: tensor<1x2x3x4xf32>) -> tensor<1x2x3x4xf32> {

}

// CHECK-LABEL: func @BiasAddGrad_NHWC
func.func @BiasAddGrad_NHWC(%arg0: tensor<2x3x4x5xf32>) -> tensor<5xf32> {
  // CHECK: "tf.Const"() <{value = dense<[0, 1, 2]> : tensor<3xi64>}>
  // CHECK: "tf.Sum"({{.*}}) <{keep_dims = false}>

  %0 = "tf.BiasAddGrad"(%arg0) {data_format = "NHWC"} : (tensor<2x3x4x5xf32>) -> tensor<5xf32>
  func.return %0 : tensor<5xf32>
}

// CHECK-LABEL: func @BiasAddGrad_NCHW

// -----

// CHECK-LABEL: func @sign
// CHECK-SAME: [[ARG:%arg.*]]: tensor<1x2x3x4xf32>
func.func @sign(%arg0: tensor<1x2x3x4xf32>) -> tensor<1x2x3x4xf32> {
  // CHECK: [[SIGN:%.*]] = mhlo.sign [[ARG]]
  // CHECK: return [[SIGN]] : tensor<1x2x3x4xf32>
  %0 = "tf.Sign"(%arg0) : (tensor<1x2x3x4xf32>) -> (tensor<1x2x3x4xf32>)
  func.return %0 : tensor<1x2x3x4xf32>
}

// -----

// CHECK-LABEL: func @sign_dynamic