size: 2
          }
        }
        tensor_content: "\364\254\206>\034\266\037?"
      }
    }
  }
}
# BatchNormWithGlobalNormalization op is invalid in version 9.
node {
  name: "BatchNormWithGlobalNormalization"
  op: "BatchNormWithGlobalNormalization"
  input: "x"
  input: "m"
  input: "v"
  input: "beta"
  input: "gamma"
  device: "/device:CPU:0"
  attr {
    key: "T"

def ConvertTfConst : Pat<(TF_ConstOp:$res DenseElementsAttr:$value), (Arith_ConstantOp $value),
          [(AnyStaticShapeTensor $res)]>;

// Convert the legacy BatchNormWithGlobalNormalization to other ops.
def ConvertBatchNormWithGlobalNormalization_1 : Pat<
  (TF_BatchNormWithGlobalNormalizationOp
    $t, $m, $v, $beta, $gamma, F32Attr:$variance_epsilon, ConstBoolAttrFalse:$scale_after_normalization),

// CHECK:  "tf.FusedBatchNormV3"(%[[BATCHNORM1_b]], %[[ARG1]], %[[ARG2]], %[[ARG3]], %[[ARG4]])
}


func.func @batchNormWithGlobalNormalization(
    %t:tensor<1x10x10x3xf32>, %m:tensor<3xf32>, %v:tensor<3xf32>, %beta:tensor<3xf32>, %gamma:tensor<3xf32>) -> (tensor<1x10x10x3xf32>) {

// Following ops are manually defined as the ops are using inputs with name `t`
// that will lead to conflict with getter for attribute `T` as both becomes
// getT().
def TF_BatchNormWithGlobalNormalizationOp : TF_Op<"BatchNormWithGlobalNormalization", [Pure]> {
  let summary = "Batch normalization.";

  let description = [{
This op is deprecated. Prefer `tf.nn.batch_normalization`.
  }];

  let arguments = (ins