return op.emitOpError("'input' and 'output' should have the same rank.");
    }

    // Check if input and output shapes are same
    for (int i = 0; i < input_type.getRank(); i++) {
      if (input_type.getDimSize(i) != output_type.getDimSize(i)) {
        return op.emitOpError(
            "'input' and 'output' should have the same shape.");
      }
    }
  }
  return success();
}

                should have all the fields, including the ones that have the same value
                as the default. This is different from `response_model_exclude_unset`
                in that if the fields are set but contain the same default values,
                they will be excluded from the response.

                should have all the fields, including the ones that have the same value
                as the default. This is different from `response_model_exclude_unset`
                in that if the fields are set but contain the same default values,
                they will be excluded from the response.

				base.Errorf("%v", p.Error)
			}
		}
	}
	base.ExitIfErrors()

	// Check for duplicate loads of the same package.
	// That should be impossible, but if it does happen then
	// we end up trying to build the same package twice,
	// usually in parallel overwriting the same files,
	// which doesn't work very well.
	seen := map[string]bool{}
	reported := map[string]bool{}

  func.return %0, %1, %2, %3 : tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>
}

// CHECK-LABEL: func @tflite_custom_nms(
// CHECK-SAME:                          %[[VAL_0:.*]]: tensor<1x100x4xf32>,
// CHECK-SAME:                          %[[VAL_1:.*]]: tensor<1x100x91xf32>,

  let summary = "Form clusters from instructions assigned to same device";
  let constructor = "TFDevice::CreateClusterFormationPass()";
  let dependentDialects = ["tf_device::TensorFlowDeviceDialect"];
  let description = [{
    Clusters operations with the same device assignment id. For each
    cluster, creates a "tf_device.device_launch" op with a Region containing the

			masq:     false,
		},
		{
			name:     "clusterIP with TCP, UDP, and SCTP on same port (TCP)",
			sourceIP: "10.180.0.2",
			protocol: v1.ProtocolTCP,
			destIP:   "172.30.0.42",
			destPort: 53,
			output:   "10.180.0.1:5353, 10.180.2.1:5353",
			masq:     false,
		},
		{
			name:     "clusterIP with TCP, UDP, and SCTP on same port (TCP)",
			sourceIP: "10.180.0.2",
			protocol: v1.ProtocolUDP,

//    the op conservatively which means that different op instances need
//    dependencies. This is realized by always returning the same string ("")
//    in this case. In fact, we could return any string here, as long as it is
//    the same string for all op instances without ordering tokens.
std::optional<std::string> CollectiveReduceV2Op::GetResourceInstanceStr() {

		// so v.ptr + offset is still the correct address.
		val := add(v.ptr, offset, "same as &v[i], i < tt.len")
		fl := v.flag&(flagIndir|flagAddr) | v.flag.ro() | flag(typ.Kind()) // bits same as overall array
		return Value{typ, val, fl}

	case Slice:
		// Element flag same as Elem of Pointer.
		// Addressable, indirect, possibly read-only.
		s := (*unsafeheader.Slice)(v.ptr)

  @parameterized.named_parameters(
      ('none', None, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('relu', nn_ops.relu, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('relu6', nn_ops.relu6, False, False, quant_opts_pb2.TF, False, 'SAME'),
      ('with_bias', None, True, False, quant_opts_pb2.TF, False, 'SAME'),
      (
          'with_bias_and_relu',
          nn_ops.relu,
          True,