[Bug]: Many unused `UserWorkspaceSize0` log print

[as12138]

Your current environment

The output of `python collect_env.py`

Your output of above commands here

🐛 Describe the bug

推理过程中调用torch_npu.npu_mrope接口会一直打印UserWorkspaceSize0，最后导致日志太大无法打开
接口调用位置在 vllm_ascend/ops/rotary_embedding.py

[Yikun]

@as12138 better to give a reproduce step to help devs

[as12138]

I discovered this issue while using the Verl framework for GRPO training. Here are my steps:

1. install vLLM and vLLM-ascend

git clone -b v0.7.3 https://github.com/vllm-project/vllm.git
cd vllm
pip install -r requirements-build.txt
VLLM_TARGET_DEVICE=empty pip install -e . --extra-index https://download.pytorch.org/whl/cpu/
cd ..

source /usr/local/Ascend/ascend-toolkit/set_env.sh
source /usr/local/Ascend/nnal/atb/set_env.sh

git clone https://github.com/vllm-project/vllm-ascend.git
cd vllm-ascend
git checkout v0.7.3
export COMPILE_CUSTOM_KERNELS=1
python setup.py install
cd ..

2. install verl and download datasets

git clone -b vllm-0.7.3-fa-npu https://github.com/as12138/verl.git
pip install torchdata
pip install -r requirements-npu.txt
pip install -e .
python examples/data_preprocess/geo3k.py --local_dir=/data/geo3k

3. install transformers

git clone https://github.com/huggingface/transformers.git
cd transformers
git checkout aa17cfb4d532239336d2f89e06f01d48387292a3
pip install -e .

4. install torchvision

git clone https://github.com/pytorch/vision.git
cd vision
git checkout v0.20.1
python setup.py bdist_wheel
pip install dist/*.whl

5. run the scipt

python3 -m verl.trainer.main_ppo
algorithm.adv_estimator=grpo
data.train_files=/data/geo3k/train.parquet
data.val_files=/data/geo3k/test.parquet
data.train_batch_size=512
data.max_prompt_length=1024
data.max_response_length=2048
data.filter_overlong_prompts=True
data.truncation='error'
data.image_key=images
actor_rollout_ref.model.path=Qwen/Qwen2.5-VL-3B-Instruct
actor_rollout_ref.actor.optim.lr=1e-6
actor_rollout_ref.model.use_remove_padding=True
actor_rollout_ref.actor.ppo_mini_batch_size=32
actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4
actor_rollout_ref.actor.use_kl_loss=True
actor_rollout_ref.actor.kl_loss_coef=0.01
actor_rollout_ref.actor.kl_loss_type=low_var_kl
actor_rollout_ref.actor.entropy_coeff=0
actor_rollout_ref.actor.use_torch_compile=False
actor_rollout_ref.model.enable_gradient_checkpointing=True
actor_rollout_ref.actor.fsdp_config.param_offload=False
actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8
actor_rollout_ref.rollout.tensor_model_parallel_size=2
actor_rollout_ref.rollout.name=$ENGINE
actor_rollout_ref.rollout.gpu_memory_utilization=0.6
actor_rollout_ref.rollout.enable_chunked_prefill=False
actor_rollout_ref.rollout.enforce_eager=False
actor_rollout_ref.rollout.free_cache_engine=False
actor_rollout_ref.rollout.n=5
actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=8
actor_rollout_ref.ref.fsdp_config.param_offload=True
algorithm.use_kl_in_reward=False
trainer.critic_warmup=0
trainer.logger=['console']
trainer.project_name='verl_grpo_example_geo3k'
trainer.experiment_name='qwen2_5_vl_3b_function_rm'
trainer.n_gpus_per_node=8
trainer.nnodes=1
trainer.save_freq=-1
trainer.test_freq=-1
trainer.total_epochs=15

[leo-pony]

This Bug has been fixed, PR, this issue could been closed.
@wangxiyuan