diff --git a/debug/accuracy_tools/msprobe/mindspore/monitor/common_func.py b/debug/accuracy_tools/msprobe/mindspore/monitor/common_func.py
index ef72a75ca246a8943bf580ba490465d2cca2c09b..cde54f22f78d35f0e9986e88827a1587814ccb7f 100644
--- a/debug/accuracy_tools/msprobe/mindspore/monitor/common_func.py
+++ b/debug/accuracy_tools/msprobe/mindspore/monitor/common_func.py
@@ -16,12 +16,21 @@
 
 from mindspore import nn
 from mindspore import communication
+from mindspore import Tensor
 from msprobe.mindspore.monitor.utils import logger
 from msprobe.mindspore.common.utils import is_mindtorch
 if is_mindtorch():
     import torch
 
 
+def check_tensor(tensor):
+    if tensor is None:
+        return Tensor([])
+    elif tensor is not None and not isinstance(tensor, Tensor):
+        return Tensor(tensor)
+    return tensor
+
+
 def is_valid_instance(model):
     return isinstance(model, torch.nn.Module) if is_mindtorch() else isinstance(model, nn.Cell)
 
diff --git a/debug/accuracy_tools/msprobe/mindspore/monitor/module_hook.py b/debug/accuracy_tools/msprobe/mindspore/monitor/module_hook.py
index 38e0f470c706f919dfa8729feb89244a002466fd..b3887f031002b88fe5164d45b633c3a7ca93f2ac 100644
--- a/debug/accuracy_tools/msprobe/mindspore/monitor/module_hook.py
+++ b/debug/accuracy_tools/msprobe/mindspore/monitor/module_hook.py
@@ -28,7 +28,8 @@ from msprobe.core.common.log import logger
 from msprobe.core.common.const import MonitorConst
 from msprobe.core.common.file_utils import load_json, save_json
 from msprobe.mindspore.common.utils import is_mindtorch
-from msprobe.mindspore.monitor.common_func import is_valid_instance, get_parameters, get_submodules, get_rank
+from msprobe.mindspore.monitor.common_func import is_valid_instance, get_parameters, get_submodules, get_rank, \
+    check_tensor
 from msprobe.mindspore.monitor.utils import get_summary_writer_tag_name, validate_config, step_accumulates_one, \
     is_skip_step, get_metrics, get_single_metrics, get_target_output_dir
 from msprobe.mindspore.monitor.module_spec_verifier import validate_config_spec
@@ -719,10 +720,12 @@ class TrainerMon:
             tbtag_tensor_map = {}
             if not context.ignore_in:
                 cared_input = module_input if context.focused_in_col is None else module_input[context.focused_in_col]
+                cared_input = check_tensor(cared_input)
                 tbtag_tensor_map.update(
                     self.build_tbtag_tensor_map(f'{context.module_name}_{context.micro_step}', MonitorConst.ACTV_IN,
                                                 cared_input))
             cared_output = module_output if context.focused_out_col is None else module_output[context.focused_out_col]
+            cared_output = check_tensor(cared_output)
             tbtag_tensor_map.update(
                 self.build_tbtag_tensor_map(f'{context.module_name}_{context.micro_step}', MonitorConst.ACTV_OUT,
                                             cared_output))
@@ -768,10 +771,12 @@ class TrainerMon:
             tbtag_tensor_map = {}
             if not context.ignore_in:
                 cared_input_grad = input_grad if context.focused_in_col is None else input_grad[context.focused_in_col]
+                cared_input_grad = check_tensor(cared_input_grad)
                 tbtag_tensor_map.update(
                     self.build_tbtag_tensor_map(
                         f'{context.module_name}_{context.micro_step}', MonitorConst.ACTVGRAD_IN, cared_input_grad))
             cared_output_grad = output_grad if context.focused_out_col is None else output_grad[context.focused_out_col]
+            cared_output_grad = check_tensor(cared_output_grad)
             tbtag_tensor_map.update(
                 self.build_tbtag_tensor_map(f'{context.module_name}_{context.micro_step}', MonitorConst.ACTVGRAD_OUT,
                                             cared_output_grad))