diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/debugger/precision_debugger.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/debugger/precision_debugger.py
index 4c7cb4fad046520dc5aa398bde9a6bcf82b0a3e8..fa4346873895a1872400a5a9d6ee9458f4b6998e 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/debugger/precision_debugger.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/debugger/precision_debugger.py
@@ -2,7 +2,7 @@ import os
 import torch
 from ..common.utils import Const, check_switch_valid, generate_compare_script, check_is_npu, print_error_log, \
     CompareException, print_warn_log
-from ..dump.dump import DumpUtil, acc_cmp_dump, write_to_disk, get_pkl_file_path
+from ..dump.dump import DumpUtil, acc_cmp_dump, write_to_disk, get_pkl_file_path, reset_module_count
 from ..dump.utils import set_dump_path, set_dump_switch_print_info, generate_dump_path_str, \
         set_dump_switch_config, set_backward_input
 from ..overflow_check.utils import OverFlowUtil
@@ -55,6 +55,9 @@ class PrecisionDebugger:
 
     def configure_full_dump(self, mode='api_stack', scope=None, api_list=None, filter_switch=Const.OFF,
             input_output_mode=[Const.ALL], acl_config=None, backward_input=None, summary_only=False, summary_mode=None):
+        if mode == "acl" and self.model is not None:
+            print_error_log("Init dump does not support ACL dump mode.")
+            raise CompareException(CompareException.INVALID_DUMP_MODE)
         scope = scope or [] 
         api_list = api_list or []
         backward_input = backward_input or []
@@ -139,6 +142,7 @@ class PrecisionDebugger:
             DumpUtil.iter_num += 1
             DumpUtil.dump_init_enable = True
             HOOKModule.module_count = {}
+            reset_module_count()
         else:
             print_warn_log("DataLoader is enabled, step() skipped.")
 
@@ -154,4 +158,4 @@ def iter_tracer(func):
         result = func(*args, **kwargs)
         PrecisionDebugger.incr_iter_num_maybe_exit()
         return result
-    return func_wrapper
\ No newline at end of file
+    return func_wrapper
diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
index 71ff12f1d7db1e06466918a905657b27ea9cbc96..3d4afb9cfc76805c706dbda57dae6ed9af8114e2 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
@@ -20,7 +20,6 @@ import json
 import os
 import threading
 from pathlib import Path
-from collections import defaultdict
 
 import numpy as np
 import torch
@@ -406,7 +405,7 @@ def acc_cmp_dump(name, **kwargs):
             except IndexError as e:
                 print_error_log(f"Get module {name_template} index failed.")
                 raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e
-            name = name.format(index)
+            name = name_template.format(index)
         if pid == os.getpid():
             dump_acc_cmp(name, in_feat, out_feat, dump_step, module)
         if hasattr(module, "input_args"):
@@ -423,3 +422,8 @@ def write_to_disk():
 
 def get_pkl_file_path():
     return pkl_name
+
+
+def reset_module_count():
+    global module_count
+    module_count = {}
diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/hook_module/register_hook.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/hook_module/register_hook.py
index bc6b9c4949bc92abd5dac60b944c2e02a03bdfef..e9abfec4a10d09a6452620966e5d0d8d78ab07cf 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/hook_module/register_hook.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/hook_module/register_hook.py
@@ -121,6 +121,7 @@ def register_hook_core(hook, model=None):
     print_info_log("The {} hook function is successfully mounted to the model.".format(hook_name))
 
     if model is not None:
+        print_info_log("The init dump mode is enabled, and the module dump function will not be available")
         if not isinstance(model, torch.nn.Module):
             print_error_log("The argument model must be an object of torch.nn.Module")
             raise CompareException(CompareException.INVALID_PARAM_ERROR)