[UT][intel GPU] use current_platform instead of device hardcode in v1 tests (#20169)

Signed-off-by: Ma, Liangliang <liangliang.ma@intel.com>

tests/v1/worker/test_gpu_input_batch.py

@@ -8,6 +8,7 @@ import numpy as np
 import pytest
 import torch
 
+from vllm.platforms import current_platform
 from vllm.sampling_params import SamplingParams
 from vllm.utils import is_pin_memory_available, make_tensor_with_pad
 from vllm.v1.pool.metadata import PoolingMetadata
@@ -19,7 +20,8 @@ VOCAB_SIZE = 1024
 NUM_OUTPUT_TOKENS = 20
 MAX_PROMPT_SIZE = 100
 CUDA_DEVICES = [
-    f"cuda:{i}" for i in range(1 if torch.cuda.device_count() == 1 else 2)
+    f"{current_platform.device_type}:{i}"
+    for i in range(min(current_platform.device_count(), 2))
 ]
 MAX_NUM_PROMPT_TOKENS = 64