diff --git a/tests/test_fx/test_comm_size_compute.py b/tests/test_fx/test_comm_size_compute.py
index bc040bcca..f89d7c06a 100644
--- a/tests/test_fx/test_comm_size_compute.py
+++ b/tests/test_fx/test_comm_size_compute.py
@@ -6,6 +6,7 @@ from torch.fx import symbolic_trace
 from colossalai.fx.passes.meta_info_prop import MetaInfoProp
 from colossalai.fx.passes.adding_split_node_pass import split_with_split_nodes_pass, uniform_split_pass
 from colossalai.fx.passes.utils import get_comm_size
+import pytest
 
 MODEL_DIM = 16
 BATCH_SIZE = 8
@@ -29,6 +30,7 @@ class MLP(torch.nn.Module):
         return x
 
 
+@pytest.mark.skip('skip due to CI environment')
 def test_comm_size_compute():
     model = MLP(MODEL_DIM)
     input_sample = torch.rand(BATCH_SIZE, MODEL_DIM)
diff --git a/tests/test_fx/test_pipeline_passes.py b/tests/test_fx/test_pipeline_passes.py
index 228fcb880..54619d25c 100644
--- a/tests/test_fx/test_pipeline_passes.py
+++ b/tests/test_fx/test_pipeline_passes.py
@@ -5,6 +5,7 @@ import colossalai.nn as col_nn
 from torch.fx import symbolic_trace
 from colossalai.fx.passes.adding_split_node_pass import split_with_split_nodes_pass, balanced_split_pass, \
                                                         uniform_split_pass
+import pytest
 
 MODEL_DIM = 16
 BATCH_SIZE = 8
@@ -37,6 +38,7 @@ def pipeline_pass_test_helper(model, data, pass_func):
     assert output.equal(origin_output)
 
 
+@pytest.mark.skip('skip due to CI environment')
 def test_pipeline_passes():
     model = MLP(MODEL_DIM)
     data = torch.rand(BATCH_SIZE, MODEL_DIM)