diff --git a/.github/workflows/xpu-compile.yml b/.github/workflows/xpu-compile.yml
index c23920910..e095e089f 100644
--- a/.github/workflows/xpu-compile.yml
+++ b/.github/workflows/xpu-compile.yml
@@ -51,9 +51,15 @@ jobs:
     - name: Compile Status
       shell: bash
       run: |
+        echo "# torch.compile graph breaks" >> $GITHUB_STEP_SUMMARY
         export FI_HMEM=system
         ulimit -n 1048575
         cd tests/torch_compile
         export ZE_AFFINITY_MASK=0,1
-        deepspeed test_compile.py --deepspeed_config ds_config.json 2>&1 | tee log.txt
-        cat log.txt |  grep "'graph_breaks'" | sed 's/,/ /g' | awk '{print $2}' >> $GITHUB_STEP_SUMMARY
+        echo "## ZeRO stage 3" >> $GITHUB_STEP_SUMMARY
+        deepspeed test_compile.py --deepspeed_config ds_config_z3.json 2>&1 | tee log_z3.txt
+        # for each line start with 'dynamo_output', extract the second field and following fields and append to GITHUB_STEP_SUMMARY using awk
+        cat log_z3.txt | awk '/^dynamo_output/ {$1=""; print $0}' >> $GITHUB_STEP_SUMMARY
+        echo "## ZeRO stage 2" >> $GITHUB_STEP_SUMMARY
+        deepspeed test_compile.py --deepspeed_config ds_config_z2.json 2>&1 | tee log_z2.txt
+        cat log_z2.txt | awk '/^dynamo_output/ {$1=""; print $0}' >> $GITHUB_STEP_SUMMARY
diff --git a/tests/torch_compile/ds_config_z2.json b/tests/torch_compile/ds_config_z2.json
new file mode 100644
index 000000000..30e1237c5
--- /dev/null
+++ b/tests/torch_compile/ds_config_z2.json
@@ -0,0 +1,40 @@
+{
+  "train_batch_size": 8,
+  "steps_per_print": 2000,
+  "optimizer": {
+    "type": "Adam",
+    "params": {
+      "lr": 0.001,
+      "betas": [
+        0.8,
+        0.999
+      ],
+      "eps": 1e-8,
+      "weight_decay": 3e-7
+    }
+  },
+  "scheduler": {
+    "type": "WarmupLR",
+    "params": {
+      "warmup_min_lr": 0,
+      "warmup_max_lr": 0.001,
+      "warmup_num_steps": 1000
+    }
+  },
+  "gradient_clipping": 1.0,
+  "prescale_gradients": false,
+  "bf16": {
+      "enabled": true,
+      "loss_scale": 0,
+      "loss_scale_window": 500,
+      "hysteresis": 2,
+      "min_loss_scale": 1,
+      "initial_scale_power": 15
+  },
+  "wall_clock_breakdown": false,
+  "zero_optimization": {
+      "stage": 2,
+      "overlap_comm": false,
+      "contiguous_gradients": false
+  }
+}
diff --git a/tests/torch_compile/ds_config.json b/tests/torch_compile/ds_config_z3.json
similarity index 100%
rename from tests/torch_compile/ds_config.json
rename to tests/torch_compile/ds_config_z3.json
diff --git a/tests/torch_compile/test_compile.py b/tests/torch_compile/test_compile.py
index 529ca56ae..adbf6eaa9 100644
--- a/tests/torch_compile/test_compile.py
+++ b/tests/torch_compile/test_compile.py
@@ -14,22 +14,9 @@ from torch.utils.data import Dataset, DataLoader
 
 torch._dynamo.config.cache_size_limit = 100
 
-import collections
-
 
 def get_dynamo_stats():
-    # TODO: consider deepcopy'ing the entire counters struct and
-    # adding a helper to do subtraction on it
-    return collections.Counter({
-        "calls_captured": torch._dynamo.utils.counters["stats"]["calls_captured"],
-        "unique_graphs": torch._dynamo.utils.counters["stats"]["unique_graphs"],
-        "graph_breaks": sum(torch._dynamo.utils.counters["graph_break"].values()),
-        # NB: The plus removes zero counts
-        "unique_graph_breaks": len(+torch._dynamo.utils.counters["graph_break"]),
-        "autograd_captures": torch._dynamo.utils.counters["compiled_autograd"]["captures"],
-        "autograd_compiles": torch._dynamo.utils.counters["compiled_autograd"]["compiles"],
-        "cudagraph_skips": torch._dynamo.utils.counters["inductor"]["cudagraph_skips"],
-    })
+    return torch._dynamo.utils.counters["graph_break"]
 
 
 class RandomDataset(Dataset):
@@ -70,7 +57,7 @@ parser = argparse.ArgumentParser()
 parser.add_argument('--local_rank', type=int, default=-1, help='local rank passed from distributed launcher')
 parser.add_argument('--deepspeed_config',
                     type=str,
-                    default='ds_config.json',
+                    default='ds_config_z3.json',
                     help='path to DeepSpeed configuration file')
 cmd_args = parser.parse_args()
 
@@ -82,6 +69,11 @@ residual = torch.rand(256, 256, dtype=torch.float).to(get_accelerator().current_
 
 start_stats = get_dynamo_stats()
 
+if comm.get_rank() == 0:
+    #print(dynamo_stats['graph_breaks'])
+    for item in start_stats.items():
+        print(item)
+
 for step, batch in enumerate(rand_loader):
     if step % 10 == 0 and comm.get_rank() == 0:
         print(f'step={step}')
@@ -93,7 +85,14 @@ for step, batch in enumerate(rand_loader):
     model_engine.step()
 
 dynamo_stats = get_dynamo_stats()
-dynamo_stats.subtract(start_stats)
 
 if comm.get_rank() == 0:
-    print(dynamo_stats)
+    # print break down of graph break stats with markdown, print in table format, start with reason, then count
+    # print a tag 'dynamo_output' before each line to allow post processing
+    print("dynamo_output | Reason | Count |")
+    print("dynamo_output | ------ | ----- |")
+    for item in dynamo_stats.items():
+        # replace '|' in item[0] with a literal '|' to avoid mess with table format
+        item = (item[0].replace('|', r'\|'), item[1])
+        print(f"dynamo_output | {item[0]} | {item[1]} |")
+    print(f"dynamo_output | Total | {sum(dynamo_stats.values())} |")