[Misc] Add SPDX-FileCopyrightText (#19100)

Signed-off-by: simon-mo <simon.mo@hey.com>

vllm/attention/backends/dual_chunk_flash_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention layer with Dual chunk flash attention and sparse attention.
 """
 import math

vllm/attention/backends/flash_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention layer with FlashAttention."""
 from collections import defaultdict
 from dataclasses import dataclass

vllm/attention/backends/flashinfer.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 import dataclasses
 import os

vllm/attention/backends/flashmla.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from contextlib import contextmanager
 from dataclasses import dataclass

vllm/attention/backends/hpu_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 ###############################################################################
 # Copyright (C) 2024 Habana Labs, Ltd. an Intel Company

vllm/attention/backends/ipex_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """ Attention layer with torch scaled_dot_product_attention
     and PagedAttention."""
 from dataclasses import dataclass

vllm/attention/backends/mla/common.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """
 # MLA Common Components
 

vllm/attention/backends/pallas.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from dataclasses import dataclass
 from typing import Any, Dict, List, Optional, Tuple, Type

vllm/attention/backends/placeholder_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from collections import defaultdict
 from dataclasses import dataclass

vllm/attention/backends/rocm_aiter_mla.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from contextlib import contextmanager
 from dataclasses import dataclass

vllm/attention/backends/rocm_flash_attn.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention layer ROCm GPUs."""
 import itertools
 from dataclasses import dataclass

vllm/attention/backends/torch_sdpa.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """ Attention layer with torch scaled_dot_product_attention
     and PagedAttention."""
 from dataclasses import dataclass

vllm/attention/backends/triton_mla.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from typing import Any, Dict, List, Optional, Type
 

vllm/attention/backends/utils.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention backend utils"""
 from collections import defaultdict
 from contextlib import contextmanager

vllm/attention/backends/xformers.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention layer with xFormers and PagedAttention."""
 from dataclasses import dataclass
 from typing import Any, Dict, List, Optional, Tuple, Type

vllm/attention/layer.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Attention layer."""
 from typing import Any, Dict, List, Optional
 

vllm/attention/ops/blocksparse_attention/blocksparse_attention_kernel.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 import torch
 

vllm/attention/ops/blocksparse_attention/interface.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 import math
 

vllm/attention/ops/blocksparse_attention/utils.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 # Helper functions for 3D sparse pattern
 # These function are not optimized and very inefficient.

vllm/attention/ops/chunked_prefill_paged_decode.py

 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 # Authors:
 #  - Burkhard Ringlein <ngl@zurich.ibm.com>