ValueError: task_ids should not be None.

[asGHF]

Describe the bug/ 问题描述 (Mandatory / 必填)
ValueError: task_ids should not be None.

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device ascend

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :2.4.0
  -- Python version (e.g., Python 3.7.5) :3.9
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04):
  -- GCC/Compiler version (if compiled from source):

• Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative
/mode graph

To Reproduce / 重现步骤 (Mandatory / 必填)
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Expected behavior / 预期结果 (Mandatory / 必填)
A clear and concise description of what you expected to happen.

Screenshots/ 日志 / 截图 (Mandatory / 必填)
Traceback (most recent call last):
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/main.py", line 39, in
cli.main()
File "/home/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 430, in main
run()
File "/home/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/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/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/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/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/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/ma-user/work/.vscode-server/c768c7a7-34b3-4b85-8837-d8c71c523932/extensions/ms-python.python-2023.8.0/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in run_code
exec(code, run_globals)
File "/home/ma-user/work/peft-main/examples/poly/polymindspore.py", line 317, in
trainer.train()
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/engine/trainer/base.py", line 755, in train
return inner_training_loop(
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/engine/trainer/base.py", line 1107, in inner_training_loop
tr_loss_step, grads = self.training_step(model, inputs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/engine/trainer/base.py", line 1382, in training_step
loss, grads = self.grad_fn(inputs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindspore/ops/composite/base.py", line 642, in after_grad
return grad(fn, weights)(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindspore/common/api.py", line 188, in wrapper
results = fn(*arg, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindspore/ops/composite/base.py", line 617, in after_grad
run_args, res = self.pynative_forward_run(fn, grad, weights, *args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindspore/ops/composite/base.py", line 674, in _pynative_forward_run
outputs = fn(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/engine/trainer/base.py", line 1374, in forward
return self.compute_loss(model, inputs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/engine/trainer/base.py", line 1396, in compute_loss
outputs = model(**inputs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/peft/peft_model.py", line 762, in forward
return self.base_model(
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/peft/tuners/poly/model.py", line 194, in forward
return self.model(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/transformers/models/t5/modeling_t5.py", line 1198, in forward
encoder_outputs = self.encoder(
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/transformers/models/t5/modeling_t5.py", line 844, in forward
layer_outputs = layer_module(
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/transformers/models/t5/modeling_t5.py", line 495, in forward
self_attention_outputs = self.layer[0](
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/transformers/models/t5/modeling_t5.py", line 402, in forward
attention_output = self.SelfAttention(
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/transformers/models/t5/modeling_t5.py", line 319, in forward
query_states = shape(self.q(hidden_states)) # (batch_size, n_heads, seq_length, dim_per_head)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/peft/tuners/poly/layer.py", line 154, in forward
mixing_weights = poly_router(task_ids=task_ids, input_ids=x)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 391, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/core/nn/modules/module.py", line 405, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindnlp/peft/tuners/poly/router.py", line 66, in forward
raise ValueError("task_ids should not be None.")
ValueError: task_ids should not be None.

Additional context / 备注 (Optional / 选填)
这里有看到将task_ids赋值为了None，但是我尝试将task_ids=task_ids时有出现说没有这个参数
因此我尝试在

内添加了task_ids参数，运行后没有报错ValueError但是出现了新的报错，因此不确定是否正确。

[qhzhuang]

把代码发出来我看看重现一下，只有报错不知道你怎么调用的

[asGHF]

好的麻烦了
以下是我的尝试的代码文件：
poly_mindspore.zip
以下是运行时报错ValueError: task_ids should not be None.的截图：