In my ComfyUI project, tasks such as generating videos from images and generating videos from text are often performed, which can easily cause video memory overflow. Therefore, when I detect video memory overflow, I called an interface in the easy-use component of ComfyUI to clean up the video memory. As a result, an error occurred. Please help me analyze it: This is the error report: This is the relevant pseudo code:

if out of memory:
    SystemResourceManager.clear_queue()
    SystemResourceManager.clear_gpu()



    @classmethod
    def clear_gpu(cls):
        try:
            url = f"{cls.base_url}/api/easyuse/cleangpu"
            req = urllib.request.Request(url, method="POST")
            with urllib.request.urlopen(req, timeout=10) as response:
                if response.status == 200:
                    import gc
                    gc.collect()
                    print("cleargpu success！")
                else:
                    print(f"cleargpu failed: {response.status}")
        except Exception as e:
            print(f"cleargpu have error: {e}")

!!! Exception during processing !!! Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated     : 21.96 GiB
Requested               : 416.62 MiB
Device limit            : 23.50 GiB
Free (according to CUDA): 31.69 MiB
PyTorch limit (set by user-supplied memory fraction)
                        : 17179869184.00 GiB
Traceback (most recent call last):
  File "/root/ComfyUI/execution.py", line 323, in execute
    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/root/ComfyUI/execution.py", line 198, in get_output_data
    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/root/ComfyUI/execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "/root/ComfyUI/execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "/root/ComfyUI/custom_nodes/ComfyUI-CogVideoXWrapper/nodes.py", line 844, in process
    latents = pipeline["pipe"](
  File "/usr/local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/root/ComfyUI/custom_nodes/ComfyUI-CogVideoXWrapper/pipeline_cogvideox.py", line 615, in __call__
    noise_pred = self.transformer(
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/diffusers/models/transformers/cogvideox_transformer_3d.py", line 429, in forward
    hidden_states = self.patch_embed(encoder_hidden_states, hidden_states)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/diffusers/models/embeddings.py", line 440, in forward
    embeds = embeds + pos_embedding
torch.cuda.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated     : 21.96 GiB
Requested               : 416.62 MiB
Device limit            : 23.50 GiB
Free (according to CUDA): 31.69 MiB
PyTorch limit (set by user-supplied memory fraction)
                        : 17179869184.00 GiB

Got an OOM, unloading all loaded models.
Exception in thread Thread-2 (prompt_worker):
Traceback (most recent call last):
  File "/root/ComfyUI/execution.py", line 323, in execute
    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/root/ComfyUI/execution.py", line 198, in get_output_data
    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/root/ComfyUI/execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "/root/ComfyUI/execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "/root/ComfyUI/custom_nodes/ComfyUI-CogVideoXWrapper/nodes.py", line 844, in process
    latents = pipeline["pipe"](
  File "/usr/local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/root/ComfyUI/custom_nodes/ComfyUI-CogVideoXWrapper/pipeline_cogvideox.py", line 615, in __call__
    noise_pred = self.transformer(
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/diffusers/models/transformers/cogvideox_transformer_3d.py", line 429, in forward
    hidden_states = self.patch_embed(encoder_hidden_states, hidden_states)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/diffusers/models/embeddings.py", line 440, in forward
    embeds = embeds + pos_embedding
torch.cuda.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated     : 21.96 GiB
Requested               : 416.62 MiB
Device limit            : 23.50 GiB
Free (according to CUDA): 31.69 MiB
PyTorch limit (set by user-supplied memory fraction)
                        : 17179869184.00 GiB

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
    self.run()
  File "/usr/local/lib/python3.10/threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)
  File "/root/ComfyUI/main.py", line 126, in prompt_worker
    e.execute(item[2], prompt_id, item[3], item[4])
  File "/root/ComfyUI/execution.py", line 503, in execute
    result, error, ex = execute(self.server, dynamic_prompt, self.caches, node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results)
  File "/root/ComfyUI/execution.py", line 407, in execute
    comfy.model_management.unload_all_models()
  File "/root/ComfyUI/comfy/model_management.py", line 1100, in unload_all_models
    free_memory(1e30, get_torch_device())
  File "/root/ComfyUI/comfy/model_management.py", line 441, in free_memory
    if current_loaded_models[i].model_unload(memory_to_free):
  File "/root/ComfyUI/comfy/model_management.py", line 347, in model_unload
    self.model.unpatch_model(self.model.offload_device, unpatch_weights=unpatch_weights)
  File "/root/ComfyUI/comfy/model_patcher.py", line 459, in unpatch_model
    self.model.to(device_to)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in to
    return self._apply(convert)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 833, in _apply
    param_applied = fn(param)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1158, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: invalid argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

I don't know if it is caused by the cleaning function of this component. At present, I am also reading the relevant code. The address of this component is：.git