diff --git a/tests/test_apis/test_onnx2tensorrt.py b/tests/test_apis/test_onnx2tensorrt.py
index c84399530..b47ae0ce8 100644
--- a/tests/test_apis/test_onnx2tensorrt.py
+++ b/tests/test_apis/test_onnx2tensorrt.py
@@ -34,7 +34,7 @@ def get_deploy_cfg():
             backend_config=dict(
                 type='tensorrt',
                 common_config=dict(
-                    fp16_mode=False, max_workspace_size=1 << 30),
+                    fp16_mode=False, max_workspace_size=1 << 20),
                 model_inputs=[
                     dict(
                         input_shapes=dict(
diff --git a/tests/test_codebase/test_mmocr/test_mmocr_models.py b/tests/test_codebase/test_mmocr/test_mmocr_models.py
index 16ffa0dca..04d916943 100644
--- a/tests/test_codebase/test_mmocr/test_mmocr_models.py
+++ b/tests/test_codebase/test_mmocr/test_mmocr_models.py
@@ -403,7 +403,7 @@ def test_forward_of_fpnc(backend: Backend):
         dict(
             backend_config=dict(
                 type=backend.value,
-                common_config=dict(max_workspace_size=1 << 30),
+                common_config=dict(max_workspace_size=1 << 20),
                 model_inputs=[
                     dict(
                         input_shapes=dict(
@@ -550,7 +550,7 @@ def test_mmdet_wrapper__forward(backend):
         dict(
             backend_config=dict(
                 type=backend.value,
-                common_config=dict(max_workspace_size=1 << 30)),
+                common_config=dict(max_workspace_size=1 << 20)),
             onnx_config=dict(
                 input_shape=None,
                 input_names=['inputs'],
diff --git a/tests/test_ops/utils.py b/tests/test_ops/utils.py
index c36f678e0..0291158e1 100644
--- a/tests/test_ops/utils.py
+++ b/tests/test_ops/utils.py
@@ -119,7 +119,7 @@ class TestTensorRTExporter:
                 backend_config=dict(
                     type='tensorrt',
                     common_config=dict(
-                        fp16_mode=False, max_workspace_size=1 << 28),
+                        fp16_mode=False, max_workspace_size=1 << 20),
                     model_inputs=[
                         dict(
                             input_shapes=dict(
@@ -132,14 +132,13 @@ class TestTensorRTExporter:
                                 ])))
                     ])))
 
-        onnx_model = onnx.load(onnx_file_path)
         work_dir, filename = os.path.split(trt_file_path)
         trt_apis.onnx2tensorrt(
             work_dir,
             filename,
             0,
             deploy_cfg=deploy_cfg,
-            onnx_model=onnx_model)
+            onnx_model=onnx_file_path)
         if expected_result is None and not isinstance(
                 model, onnx.onnx_ml_pb2.ModelProto):
             with torch.no_grad():