fix qwen3vl ci

[shaopeng-666]

What this PR does / why we need it?

Follow the interface changes from the upstream vllm repository ‘
[Core][MM] Add mechanism to configure multimodal fields which should stay on CPU (vllm-project/vllm#28168)

Does this PR introduce any user-facing change?

How was this patch tested?

• vLLM version: v0.11.2
• vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

[github-actions]

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[gemini-code-assist]

Code Review

This pull request updates the qwen3vl model to support torch.Tensor as an input type for grid_thw, which was previously only a list. While the change is functionally correct, I've identified a performance issue in the implementation. The conversion from a torch.Tensor to a NumPy array and back to a tensor is inefficient and can be optimized. I've provided a suggestion to refactor this logic for better performance.

[gemini-code-assist]

The current implementation for handling grid_thw when it is a torch.Tensor is inefficient. It converts the tensor to a NumPy array using .numpy() (which can cause a GPU-to-CPU data transfer) and then converts it back to a tensor using torch.tensor(). This can be optimized by handling the list and torch.Tensor cases separately to avoid unnecessary conversions.

        if isinstance(grid_thw, list):
            grid_thw_list = grid_thw
            grid_thw_tensor = torch.tensor(grid_thw,
                                           device=self.device,
                                           dtype=torch.int32)
        else:
            grid_thw_list = grid_thw.tolist()
            grid_thw_tensor = grid_thw.to(device=self.device, dtype=torch.int32)

        pos_embeds = self.fast_pos_embed_interpolate(grid_thw_list)
        hidden_states = hidden_states + pos_embeds
        rotary_pos_emb = self.rot_pos_emb(grid_thw_list)

[wangxiyuan]

@shen-shanshan

[shen-shanshan]

LGTM.
This PR just sync the changes in vllm-project/vllm#28168 to keep interface compatible.
But the while Qwen3-VL ViT may be removed directly to avoid maintaince.

[github-actions]

This pull request has conflicts, please resolve those before we can evaluate the pull request.

[wangxiyuan]

We won't allow to change model files any more. Please use another way or contribute to vLLM directly.