Traceback (most recent call last):
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/__main__.py", line 39, in <module>
    cli.main()
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 430, in main
    run()
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 284, in run_file
    runpy.run_path(target, run_name="__main__")
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/home/xiaoyu/.vscode-server/extensions/ms-python.python-2022.18.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code
    exec(code, run_globals)
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 244, in <module>
    main()
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 33, in main
    main_worker(args)
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 88, in main_worker
    train(train_dataset_weak, model, optimizer, epoch, args, log_training, tf_writer)
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 157, in train
    train_step(image, label)
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 144, in train_step
    loss, out, loss2 = forward_fn(image, label)
  File "/home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/main.py", line 132, in forward_fn
    z2 = model(image,idx=0)
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/site-packages/mindspore/nn/cell.py", line 596, in __call__
    out = self.compile_and_run(*args)
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/site-packages/mindspore/nn/cell.py", line 985, in compile_and_run
    self.compile(*inputs)
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/site-packages/mindspore/nn/cell.py", line 956, in compile
    _cell_graph_executor.compile(self, *inputs, phase=self.phase, auto_parallel_mode=self._auto_parallel_mode,
  File "/home/xiaoyu/anaconda3/envs/LTVR/lib/python3.9/site-packages/mindspore/common/api.py", line 1131, in compile
    result = self._graph_executor.compile(obj, args_list, phase, self._use_vm_mode())
RuntimeError: The 'mul' operation does not support the type [Anything, Tensor[Float32]].
The supported types of overload function `mul` is: [Tensor, COOTensor], [Tensor, CSRTensor], [CSRTensor, Tensor], [List, Tensor], [Tensor, List], [Tuple, Tensor], [Number, String], [Number, Tensor], [COOTensor, Tensor], [Tensor, Tensor], [String, Number], [Number, List], [Tensor, Number], [Tensor, Tuple], [Number, Number], [Tuple, Number], [List, Number], [Number, Tuple].

----------------------------------------------------
- The Traceback of Net Construct Code:
----------------------------------------------------
The function call stack (See file '/home/xiaoyu/rank_0/om/analyze_fail.dat' for more details. Get instructions about `analyze_fail.dat` at https://www.mindspore.cn/search?inputValue=analyze_fail.dat):
# 0 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/resnet_synthetic.py:138
        out, _ = self.bn1(out,idx)
                 ^
# 1 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/gmm_resnet.py:239
        if split_flag == 0:
# 2 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/gmm_resnet.py:240
            return self.split_bn(input),split_flag
                   ^
# 3 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/gmm_resnet.py:217
        for idx in range(self.num_mixtures):
        ^
# 4 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/gmm_resnet.py:224
            if self.training:  # aux BN only relevant while training  
# 5 In file /home/xiaoyu/workspace/LTVR/LTVR_mindspore_graph/models/gmm_resnet.py:226
                self.running_mean[idx] = momentum * mean + (1-momentum) * self.running_mean[idx]