Update attention layer for Gemma3 ViT

[hengtaoguo]

Description

• Following Modifying decoders and attention for vllm #2616, the attention module now returns a tuple out, kv_cache instead of out. This PR updates the output of Gemma3 ViT attention layer.
• Update from nnx.Dropout to linears.Dropout.

Tests

Tested by decode forward pass.

python -m MaxText.decode MaxText/configs/base.yml model_name=gemma3-4b tokenizer_type=huggingface tokenizer_path=google/gemma-3-4b-it load_parameters_path=gs://maxtext-gemma/unified/gemma3/4b/unscanned/2025-08-09-01-17/0/items per_device_batch_size=1 run_name=ht_test max_prefill_predict_length=272 max_target_length=372 steps=1 async_checkpointing=false scan_layers=false use_multimodal=true prompt=\'Describe\ image\ \<start_of_image\>\' image_path=\'/home/hengtaoguo_google_com/projects/maxtext/src/MaxText/test_assets/test_image.jpg\' attention=\'dot_product\' hf_access_token=xxx

Checklist

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• I have made or will make corresponding changes to the doc if needed, including adding new documentation pages to the relevant Table of Contents (toctree directive) as explained in our documentation.

[richjames0]

lgtm