[Model] Support MAP-NEO model

benchmarks/kernels/benchmark_paged_attention.py

@@ -170,7 +170,7 @@ def run_cuda_benchmark(num_iters: int, profile: bool = False) -> float:
     parser.add_argument("--num-kv-heads", type=int, default=8)
     parser.add_argument("--head-size",
                         type=int,
-                        choices=[64, 80, 96, 112, 128, 256],
+                        choices=[64, 80, 96, 112, 128, 192, 256],
                         default=128)
     parser.add_argument("--block-size", type=int, choices=[16, 32], default=16)
     parser.add_argument("--use-alibi", action="store_true")

benchmarks/kernels/benchmark_rope.py

@@ -93,7 +93,7 @@ def benchmark_rope_kernels_multi_lora(
     parser.add_argument("--num-heads", type=int, default=8)
     parser.add_argument("--head-size",
                         type=int,
-                        choices=[64, 80, 96, 112, 128, 256],
+                        choices=[64, 80, 96, 112, 128, 192, 256],
                         default=128)
     parser.add_argument("--rotary-dim", type=int, choices=[16, 32], default=32)
     parser.add_argument("--dtype",

csrc/attention/attention_kernels.cu

@@ -754,6 +754,9 @@ void paged_attention_v1_launcher(
     case 128:
       LAUNCH_PAGED_ATTENTION_V1(128);
       break;
+    case 192:
+      LAUNCH_PAGED_ATTENTION_V1(192);
+      break;
     case 256:
       LAUNCH_PAGED_ATTENTION_V1(256);
       break;
@@ -911,6 +914,9 @@ void paged_attention_v2_launcher(
     case 128:
       LAUNCH_PAGED_ATTENTION_V2(128);
       break;
+    case 192:
+      LAUNCH_PAGED_ATTENTION_V2(192);
+      break;
     case 256:
       LAUNCH_PAGED_ATTENTION_V2(256);
       break;

csrc/cpu/attention.cpp

@@ -390,6 +390,9 @@ void paged_attention_v1_impl_launcher(
     case 128:
       LAUNCH_V1_ATTENTION_KERNEL(T, 128, BLOCK_SIZE);
       break;
+    case 192:
+      LAUNCH_V1_ATTENTION_KERNEL(T, 192, BLOCK_SIZE);
+      break;
     case 256:
       LAUNCH_V1_ATTENTION_KERNEL(T, 256, BLOCK_SIZE);
       break;
@@ -703,6 +706,9 @@ void paged_attention_v2_impl_launcher(
     case 128:
       LAUNCH_V2_ATTENTION_KERNEL(T, 128, BLOCK_SIZE);
       break;
+    case 192:
+      LAUNCH_V2_ATTENTION_KERNEL(T, 192, BLOCK_SIZE);
+      break;
     case 256:
       LAUNCH_V2_ATTENTION_KERNEL(T, 256, BLOCK_SIZE);
       break;

tests/kernels/test_attention.py

@@ -28,7 +28,7 @@
 
 # FlashAttention forward only supports head dimension at most 128
 # https://github.com/ROCmSoftwarePlatform/flash-attention/blob/3d2b6f5d037782cc2c906909a46fb7e2e1b48b25/csrc/flash_attn_rocm/flash_api.cpp#L62
-HEAD_SIZES = [64, 80, 96, 112, 128, 256
+HEAD_SIZES = [64, 80, 96, 112, 128, 192, 256
               ] if not is_hip() else [64, 80, 96, 112, 128]
 
 BLOCK_SIZES = [16, 32]

tests/kernels/test_cache.py

@@ -11,7 +11,7 @@
 NUM_TOKENS = [42]  # Arbitrary values for testing
 NUM_LAYERS = [1]  # Arbitrary values for testing
 NUM_HEADS = [8]  # Arbitrary values for testing
-HEAD_SIZES = [64, 80, 96, 112, 128, 256]
+HEAD_SIZES = [64, 80, 96, 112, 128, 192, 256]
 BLOCK_SIZES = [8, 16, 32]
 
 # Arbitrary values for testing

tests/kernels/test_pos_encoding.py

@@ -10,7 +10,7 @@
 
 IS_NEOX_STYLE = [True, False]
 DTYPES = [torch.half, torch.bfloat16, torch.float]
-HEAD_SIZES = [64, 80, 96, 112, 128, 256]
+HEAD_SIZES = [64, 80, 96, 112, 128, 192, 256]
 ROTARY_DIMS = [None, 32]  # None means rotary dim == head size
 NUM_HEADS = [7, 17]  # Arbitrary values for testing
 BATCH_SIZES = [1, 5]  # Arbitrary values for testing

vllm/attention/ops/paged_attn.py

@@ -31,7 +31,7 @@ class PagedAttention:
 
     @staticmethod
     def get_supported_head_sizes() -> List[int]:
-        return [64, 80, 96, 112, 128, 256]
+        return [64, 80, 96, 112, 128, 192, 256]
 
     @staticmethod
     def get_kv_cache_shape(