// CHECK:  %[[SUB:.*]] = "tf.Sub"(%[[ARG2:.*]], %[[MUL3]])
//              x * scale * rsqrt(variance + epsilon) +
//              offset - mean * scale * rsqrt(variance + epsilon)
// CHECK:  %[[ADD2:.*]] = "tf.Add"(%[[MUL2]], %[[SUB]])
// CHECK:  %[[BATCHNORM1_a:[^,]+]], {{.*}} = "tf.FusedBatchNormV3"(%[[ADD2]], %[[CONSTANT1]], %[[ARG2]], %[[ARG3]], %[[ARG4]])

  // CHECK: %[[MUL2:.*]] = "tf.Mul"(%[[FLOOR]], %[[TWO]]) : (tensor<2xf32>, tensor<f32>) -> tensor<2xf32>
  // CHECK: %[[NEAREST_EVEN_INT:.*]] = "tf.Sub"(%[[ROUND_VAL]], %[[MUL2]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  // CHECK: %[[IS_ODD:.*]] = "tf.Equal"(%[[NEAREST_EVEN_INT]], %[[ONE]]) <{incompatible_shape_error = true}> : (tensor<2xf32>, tensor<f32>) -> tensor<2xi1>

							if($.isArray(js.children) && js.children.length) {
								tmp = this._parse_json(js.children, obj, true);
								if(tmp.length) {
									ul2 = $("<ul />");
									ul2.append(tmp);
									d.append(ul2);
								}
							}
						}
					}
				}
				if(!is_callback) {
					ul1 = $("<ul />");
					ul1.append(d);
					d = ul1;
				}
				return d;