// CHECK-SAME: }> : (tensor<10x10x10xf32>, tensor<f32>) -> tensor<11x11x11xf32>
// CHECK:      return %[[RES]] : tensor<11x11x11xf32>
}

// -----

// CHECK-LABEL: testTwoConsecutivePadsNegativePositiveHighPad
func.func @testTwoConsecutivePadsNegativePositiveHighPad(%arg0: tensor<10x10x10xf32>) -> (tensor<11x11x11xf32>) {
  %0 = mhlo.constant dense<0.000000e+00> : tensor<f32>

}

func.func @einsum_ellipsis_in_both_sides(%arg0: tensor<1x11x19xf32>, %arg1: tensor<7x11x13x19xf32>) -> tensor<7x11x13xf32> {
  %0 = "tf.Einsum"(%arg0, %arg1) {device = "", equation = "...IJ,...INJ->...IN"} : (tensor<1x11x19xf32>, tensor<7x11x13x19xf32>) -> tensor<7x11x13xf32>
  func.return %0 : tensor<7x11x13xf32>
  // CHECK-LABEL: einsum_ellipsis_in_both_sides

// CHECK: %1 = "tfl.pad"(%0, %cst_0) : (tensor<1x1x8x1xf32>, tensor<4x2xi32>) -> tensor<1x1x11x1xf32>
// CHECK: %2 = "tfl.average_pool_2d"(%1) <{filter_height = 1 : i32, filter_width = 3 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 1 : i32, stride_w = 2 : i32}> : (tensor<1x1x11x1xf32>) -> tensor<1x1x5x1xf32>