310P疑似不支持dist.broadcast操作，如何支持多卡

### Motivation
在ascend 310p上创建以下环境torch=2.3.1+cpu、torch-npu=2.3.1.post4

LMdeploy和dlinfer代码分别使用[DeepLink-org:support_310P](https://github.com/DeepLink-org/lmdeploy/tree/support_310P)和[yao-fengchen:support_310P](https://github.com/yao-fengchen/dlinfer/tree/support_310P)
ascend 310p上进行多卡的推理任务，当tp=2时

```python
from lmdeploy import pipeline
from lmdeploy import PytorchEngineConfig, GenerationConfig

if __name__ == "__main__":
pipe = pipeline("/mnt/data/llm/Qwen1.5-7B-Chat/",
backend_config=PytorchEngineConfig(
tp=2,
device_type="ascend",
dtype='float16',
eager_mode=True,
cache_max_entry_count=0.5))
# question = ["Shanghai is"]
question = ["Shanghai is the largest city in China. Please introduce it."]
response = pipe(question, gen_config=GenerationConfig(max_new_tokens=10))
print(response)
```

存在以下问题

```python
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/utils/collect_env.py:59: UserWarning: Warning: The /usr/local/Ascend/ascend-toolkit/latest owner does not match the current owner.
warnings.warn(f"Warning: The {path} owner does not match the current owner.")
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/utils/collect_env.py:59: UserWarning: Warning: The /usr/local/Ascend/ascend-toolkit/8.0.0.alpha001/x86_64-linux/ascend_toolkit_install.info owner does not match the current owner.
warnings.warn(f"Warning: The {path} owner does not match the current owner.")
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/contrib/transfer_to_npu.py:292: ImportWarning:
*************************************************************************************************************
The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now..
The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now..
The backend in torch.distributed.init_process_group set to hccl now..
The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now..
The device parameters have been replaced with npu in the function below:
torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.autocast, torch.load, torch.Generator, torch.set_default_device, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty
*************************************************************************************************************

warnings.warn(msg, ImportWarning)
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/contrib/transfer_to_npu.py:247: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
2025-02-07 20:14:14,095 - lmdeploy - WARNING - transformers.py:22 - LMDeploy requires transformers version: [4.33.0 ~ 4.46.1], but found version: 4.48.0
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/utils/collect_env.py:59: UserWarning: Warning: The /usr/local/Ascend/ascend-toolkit/latest owner does not match the current owner.
warnings.warn(f"Warning: The {path} owner does not match the current owner.")
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/utils/collect_env.py:59: UserWarning: Warning: The /usr/local/Ascend/ascend-toolkit/8.0.0.alpha001/x86_64-linux/ascend_toolkit_install.info owner does not match the current owner.
warnings.warn(f"Warning: The {path} owner does not match the current owner.")
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/contrib/transfer_to_npu.py:292: ImportWarning:
*************************************************************************************************************
The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now..
The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now..
The backend in torch.distributed.init_process_group set to hccl now..
The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now..
The device parameters have been replaced with npu in the function below:
torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.autocast, torch.load, torch.Generator, torch.set_default_device, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty
*************************************************************************************************************

warnings.warn(msg, ImportWarning)
/home/yzk/.conda/envs/yzk-lmdeploy/lib/python3.11/site-packages/torch_npu/contrib/transfer_to_npu.py:247: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
Loading weights from safetensors: 0%| | 0/4 [00:00