diff --git a/torchtitan/experiments/compiler_toolkit/README.md b/torchtitan/experiments/compiler_toolkit/README.md
index a75b3a17b2..49e0590cbd 100644
--- a/torchtitan/experiments/compiler_toolkit/README.md
+++ b/torchtitan/experiments/compiler_toolkit/README.md
@@ -12,6 +12,11 @@ Joint Graph based Training Prototype:
 
 ## DeepSeek v3
 
+**SimpleFSDP + EP**
+```shell
+NGPU=4 CONFIG_FILE=./torchtitan/models/deepseek_v3/train_configs/debug_model.toml ./run_train.sh --model.name compiler_toolkit.deepseek_v3 --parallelism.data_parallel_shard_degree=4 --parallelism.expert_parallel_degree=2 --activation_checkpoint.mode none
+```
+
 **SimpleFSDP + TP + EP**
 ```shell
 NGPU=4 CONFIG_FILE=./torchtitan/models/deepseek_v3/train_configs/debug_model.toml ./run_train.sh --model.name compiler_toolkit.deepseek_v3 --parallelism.data_parallel_shard_degree=2 --parallelism.tensor_parallel_degree=2 --parallelism.expert_parallel_degree=2 --activation_checkpoint.mode none
@@ -24,6 +29,11 @@ NGPU=4 CONFIG_FILE=./torchtitan/models/deepseek_v3/train_configs/debug_model.tom
 
 ## llama3
 
+**SimpleFSDP**
+```shell
+NGPU=8 CONFIG_FILE=./torchtitan/models/llama3/train_configs/debug_model.toml ./run_train.sh --model.name compiler_toolkit.llama3 --parallelism.data_parallel_shard_degree=8
+```
+
 **SimpleFSDP + TP**
 ```shell
 NGPU=8 CONFIG_FILE=./torchtitan/models/llama3/train_configs/debug_model.toml ./run_train.sh --model.name compiler_toolkit.llama3 --parallelism.data_parallel_shard_degree=2 --parallelism.tensor_parallel_degree=4
diff --git a/torchtitan/experiments/compiler_toolkit/common_utils.py b/torchtitan/experiments/compiler_toolkit/common_utils.py
index 965e027bdb..fd1f9622e2 100644
--- a/torchtitan/experiments/compiler_toolkit/common_utils.py
+++ b/torchtitan/experiments/compiler_toolkit/common_utils.py
@@ -25,12 +25,17 @@ def disable_compile(job_config: JobConfig):
 
 
 def parallelize_inputs(world_mesh, args, kwargs):
-    def to_dtensor(tensor):
-        if isinstance(tensor, torch.Tensor):
-            return DTensor.from_local(tensor, world_mesh["tp"], [Replicate()])
-        return tensor
+    if "tp" in world_mesh.mesh_dim_names:
 
-    dt_args = tree_map(to_dtensor, args)
+        def to_dtensor(tensor):
+            if isinstance(tensor, torch.Tensor):
+                return DTensor.from_local(tensor, world_mesh["tp"], [Replicate()])
+            return tensor
+
+        dt_args = tree_map(to_dtensor, args)
+    else:
+        # TODO: When there is no TP (SimpleFSDP only), it currently only supports plain tensor inputs
+        dt_args = args
 
     # TODO: When using flex_attention, BlockMask would show up in kwargs,
     # and it's unclear how to convert it to DTensor. If I use to_dtensor,
diff --git a/torchtitan/experiments/compiler_toolkit/graph_utils.py b/torchtitan/experiments/compiler_toolkit/graph_utils.py
index 4ff6c8187b..a246ac51df 100644
--- a/torchtitan/experiments/compiler_toolkit/graph_utils.py
+++ b/torchtitan/experiments/compiler_toolkit/graph_utils.py
@@ -15,7 +15,6 @@
     JointWithDescriptors,
 )
 from torch._guards import tracing, TracingContext
-from torch.distributed.tensor import DTensor
 from torchtitan.distributed import ParallelDims
 from torchtitan.tools.logging import logger
 
@@ -93,8 +92,10 @@ def joint_graph_builder(
         joint_custom_pass: Optional custom pass to run on the joint graph
     """
     assert isinstance(model_args, tuple)
-    for arg in model_args:
-        assert isinstance(arg, DTensor)
+
+    # TODO: Enable this when we have full-DTensorize inputs support of SimpleFSDP
+    # for arg in model_args:
+    #     assert isinstance(arg, DTensor)
 
     # get joint graph
     (