}

func.func @einsum_fourdtransposeall(%arg0: tensor<2x5x7x3xf32>, %arg1: tensor<2x11x7x3xf32>) -> tensor<2x7x11x5xf32> {
  %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "aecd,abcd->acbe"}: (tensor<2x5x7x3xf32>, tensor<2x11x7x3xf32>) -> tensor<2x7x11x5xf32>
  func.return %0 : tensor<2x7x11x5xf32>
  // CHECK-LABEL: einsum_fourdtransposeall
  // CHECK-DAG: %[[cst:.*]] = arith.constant dense<[0, 2, 1, 3]> : tensor<4xi32>

// CHECK:           })
// CHECK-SAME:        -> tensor<2x7x3x5xf32>
// CHECK:           [[COUNT:%.+]] = mhlo.constant dense<4.000000e+00> : tensor<f32>
// CHECK:           [[DIV_RESULT:%.+]] = chlo.broadcast_divide [[DIVIDEND]], [[COUNT]]
// CHECK-SAME:        broadcast_dimensions = array<i64>
// CHECK-SAME:        -> tensor<2x7x3x5xf32>
// CHECK:           [[CONV16:%.+]] = mhlo.convert [[DIV_RESULT]]