diff --git a/plugins/flytekit-kf-mpi/flytekitplugins/kfmpi/task.py b/plugins/flytekit-kf-mpi/flytekitplugins/kfmpi/task.py
index 665e195b4b3..8e6d5a421e4 100644
--- a/plugins/flytekit-kf-mpi/flytekitplugins/kfmpi/task.py
+++ b/plugins/flytekit-kf-mpi/flytekitplugins/kfmpi/task.py
@@ -6,6 +6,7 @@
 from enum import Enum
 from typing import Any, Callable, Dict, List, Optional, Union
 
+from flyteidl.plugins import common_pb2 as plugins_common
 from flyteidl.plugins.kubeflow import common_pb2 as kubeflow_common
 from flyteidl.plugins.kubeflow import mpi_pb2 as mpi_task
 from google.protobuf.json_format import MessageToDict
@@ -161,7 +162,7 @@ def __init__(self, task_config: MPIJob, task_function: Callable, **kwargs):
             task_function=task_function,
             task_type=self._MPI_JOB_TASK_TYPE,
             # task_type_version controls the version of the task template, do not change
-            task_type_version=1,
+            task_type_version=2,
             **kwargs,
         )
 
@@ -170,11 +171,13 @@ def _convert_replica_spec(
     ) -> mpi_task.DistributedMPITrainingReplicaSpec:
         resources = convert_resources_to_resource_model(requests=replica_config.requests, limits=replica_config.limits)
         return mpi_task.DistributedMPITrainingReplicaSpec(
+            common=plugins_common.CommonReplicaSpec(
+                replicas=replica_config.replicas,
+                image=replica_config.image,
+                resources=resources.to_flyte_idl() if resources else None,
+                restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
+            ),
             command=replica_config.command,
-            replicas=replica_config.replicas,
-            image=replica_config.image,
-            resources=resources.to_flyte_idl() if resources else None,
-            restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
         )
 
     def _convert_run_policy(self, run_policy: RunPolicy) -> kubeflow_common.RunPolicy:
diff --git a/plugins/flytekit-kf-pytorch/flytekitplugins/kfpytorch/task.py b/plugins/flytekit-kf-pytorch/flytekitplugins/kfpytorch/task.py
index 46eb086ad0d..ce3c774af38 100644
--- a/plugins/flytekit-kf-pytorch/flytekitplugins/kfpytorch/task.py
+++ b/plugins/flytekit-kf-pytorch/flytekitplugins/kfpytorch/task.py
@@ -7,6 +7,7 @@
 from enum import Enum
 from typing import Any, Callable, Dict, List, NamedTuple, Optional, Union
 
+from flyteidl.plugins import common_pb2 as plugins_common
 from flyteidl.plugins.kubeflow import common_pb2 as kubeflow_common
 from flyteidl.plugins.kubeflow import pytorch_pb2 as pytorch_task
 from google.protobuf.json_format import MessageToDict
@@ -161,7 +162,7 @@ def __init__(self, task_config: PyTorch, task_function: Callable, **kwargs):
             task_function,
             task_type=self._PYTORCH_TASK_TYPE,
             # task_type_version controls the version of the task template, do not change
-            task_type_version=1,
+            task_type_version=2,
             **kwargs,
         )
 
@@ -174,10 +175,12 @@ def _convert_replica_spec(
         if not isinstance(replica_config, Master):
             replicas = replica_config.replicas
         return pytorch_task.DistributedPyTorchTrainingReplicaSpec(
-            replicas=replicas,
-            image=replica_config.image,
-            resources=resources.to_flyte_idl() if resources else None,
-            restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
+            common=plugins_common.CommonReplicaSpec(
+                replicas=replicas,
+                image=replica_config.image,
+                resources=resources.to_flyte_idl() if resources else None,
+                restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
+            )
         )
 
     def _convert_run_policy(self, run_policy: RunPolicy) -> kubeflow_common.RunPolicy:
@@ -279,7 +282,7 @@ def __init__(self, task_config: Elastic, task_function: Callable, **kwargs):
             task_type=task_type,
             task_function=task_function,
             # task_type_version controls the version of the task template, do not change
-            task_type_version=1,
+            task_type_version=2,
             **kwargs,
         )
         try:
@@ -446,7 +449,7 @@ def get_custom(self, settings: SerializationSettings) -> Optional[Dict[str, Any]
             )
             job = pytorch_task.DistributedPyTorchTrainingTask(
                 worker_replicas=pytorch_task.DistributedPyTorchTrainingReplicaSpec(
-                    replicas=self.max_nodes,
+                    common=plugins_common.CommonReplicaSpec(replicas=self.max_nodes),
                 ),
                 elastic_config=elastic_config,
             )
diff --git a/plugins/flytekit-kf-tensorflow/flytekitplugins/kftensorflow/task.py b/plugins/flytekit-kf-tensorflow/flytekitplugins/kftensorflow/task.py
index 7be1f7d0301..0fc244dd670 100644
--- a/plugins/flytekit-kf-tensorflow/flytekitplugins/kftensorflow/task.py
+++ b/plugins/flytekit-kf-tensorflow/flytekitplugins/kftensorflow/task.py
@@ -6,6 +6,7 @@
 from enum import Enum
 from typing import Any, Callable, Dict, Optional, Union
 
+from flyteidl.plugins import common_pb2 as plugins_common
 from flyteidl.plugins.kubeflow import common_pb2 as kubeflow_common
 from flyteidl.plugins.kubeflow import tensorflow_pb2 as tensorflow_task
 from google.protobuf.json_format import MessageToDict
@@ -164,7 +165,7 @@ def __init__(self, task_config: TfJob, task_function: Callable, **kwargs):
             task_type=self._TF_JOB_TASK_TYPE,
             task_config=task_config,
             task_function=task_function,
-            task_type_version=1,
+            task_type_version=2,
             **kwargs,
         )
 
@@ -173,10 +174,12 @@ def _convert_replica_spec(
     ) -> tensorflow_task.DistributedTensorflowTrainingReplicaSpec:
         resources = convert_resources_to_resource_model(requests=replica_config.requests, limits=replica_config.limits)
         return tensorflow_task.DistributedTensorflowTrainingReplicaSpec(
-            replicas=replica_config.replicas,
-            image=replica_config.image,
-            resources=resources.to_flyte_idl() if resources else None,
-            restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
+            common=plugins_common.CommonReplicaSpec(
+                replicas=replica_config.replicas,
+                image=replica_config.image,
+                resources=resources.to_flyte_idl() if resources else None,
+                restart_policy=replica_config.restart_policy.value if replica_config.restart_policy else None,
+            )
         )
 
     def _convert_run_policy(self, run_policy: RunPolicy) -> kubeflow_common.RunPolicy: