[ROCm][CI] Fix ROCm attention backend validation for head sizes, block sizes,...

[ROCm][CI] Fix ROCm attention backend validation for head sizes, block sizes, and compute capability checks (#36292)
Signed-off-by: Andreas Karatzas <akaratza@amd.com>

docs/design/attention_backends.md

@@ -213,4 +213,4 @@ configuration.
 | `ROCM_AITER_MLA` | fp16, bf16 | `auto`, `bfloat16`, `fp8`, `fp8_e4m3`, `fp8_e5m2` | 1 | Any | ❌ | ❌ | ❌ | ❌ | Decoder | N/A |
 | `ROCM_AITER_MLA_SPARSE` | fp16, bf16 | `auto`, `bfloat16` | 1 | Any | ❌ | ✅ | ❌ | ❌ | Decoder | N/A |
 | `ROCM_AITER_TRITON_MLA` | fp16, bf16 | `auto` | Any | Any | ❌ | ❌ | ❌ | ❌ | Decoder | N/A |
-| `TRITON_MLA` | fp16, bf16 | `auto`, `bfloat16` | Any | Any | ❌ | ❌ | ❌ | ✅ | Decoder | Any |
+| `TRITON_MLA` | fp16, bf16 | `auto`, `bfloat16` | %16 | Any | ❌ | ❌ | ❌ | ✅ | Decoder | Any |

tests/v1/attention/test_rocm_attention_backends_selection.py

@@ -29,11 +29,18 @@ def mock_vllm_config():
 
 @pytest.fixture
 def mock_on_gfx9():
-    """Mock the on_gfx9 function to return True."""
+    """Mock gfx9 arch detection to return True."""
     with patch("vllm.platforms.rocm.on_gfx9", return_value=True):
         yield
 
 
+@pytest.fixture
+def mock_on_mi3xx():
+    """Mock mi3xx arch detection to return True."""
+    with patch("vllm.platforms.rocm.on_mi3xx", return_value=True):
+        yield
+
+
 @pytest.mark.parametrize(
     "env_vars, selected_backend, expected_backend_path",
     [
@@ -122,6 +129,7 @@ def test_standard_attention_backend_selection(
     expected_backend_path,
     mock_vllm_config,
     mock_on_gfx9,
+    mock_on_mi3xx,
     monkeypatch,
 ):
     """Test standard attention backend selection with various configurations."""
@@ -313,16 +321,16 @@ def test_mla_backend_selection(
             assert backend_path == expected_backend_path
 
 
-def test_aiter_fa_requires_gfx9(mock_vllm_config):
-    """Test that ROCM_AITER_FA requires gfx9 architecture."""
+def test_aiter_fa_requires_mi3xx(mock_vllm_config):
+    """Test that ROCM_AITER_FA requires mi3xx architecture."""
     from vllm.platforms.rocm import RocmPlatform
 
-    # Mock on_gfx9 to return False
+    # Mock on_mi3xx to return False (used by supports_compute_capability)
     with (
-        patch("vllm.platforms.rocm.on_gfx9", return_value=False),
+        patch("vllm.platforms.rocm.on_mi3xx", return_value=False),
         pytest.raises(
             ValueError,
-            match="only supported on gfx9",
+            match="compute capability not supported",
         ),
     ):
         attn_selector_config = AttentionSelectorConfig(
@@ -342,11 +350,12 @@ def test_aiter_fa_requires_gfx9(mock_vllm_config):
 
 
 def test_sparse_not_supported(mock_vllm_config):
-    """Test that sparse attention is not supported on ROCm."""
+    """Test that sparse MLA without use_mla flag raises an error."""
     from vllm.platforms.rocm import RocmPlatform
 
     with pytest.raises(
-        AssertionError, match="Sparse MLA backend on ROCm only supports block size 1"
+        ValueError,
+        match="No valid attention backend found",
     ):
         attn_selector_config = AttentionSelectorConfig(
             head_size=128,

vllm/v1/attention/backends/mla/rocm_aiter_mla.py

@@ -31,6 +31,10 @@ class AiterMLABackend(MLACommonBackend):
         "fp8_e5m2",
     ]
 
+    @classmethod
+    def get_supported_head_sizes(cls) -> list[int]:
+        return []
+
     @staticmethod
     def get_supported_kernel_block_sizes() -> list[int | MultipleOf]:
         return [1]

vllm/v1/attention/backends/mla/triton_mla.py

@@ -19,6 +19,7 @@ from vllm.platforms.interface import DeviceCapability
 from vllm.v1.attention.backend import (
     AttentionLayer,
     AttentionType,
+    MultipleOf,
     is_quantized_kv_cache,
 )
 from vllm.v1.attention.ops.triton_decode_attention import decode_attention_fwd
@@ -33,6 +34,20 @@ class TritonMLABackend(MLACommonBackend):
         "bfloat16",
     ]
 
+    @classmethod
+    def get_supported_head_sizes(cls) -> list[int]:
+        return []
+
+    @staticmethod
+    def get_supported_kernel_block_sizes() -> list[int | MultipleOf]:
+        return [MultipleOf(16)]
+
+    @classmethod
+    def supports_block_size(cls, block_size: int | None) -> bool:
+        if block_size is None:
+            return True
+        return block_size % 16 == 0
+
     @staticmethod
     def get_name() -> str:
         return "TRITON_MLA"

vllm/v1/attention/backends/rocm_aiter_unified_attn.py

@@ -29,6 +29,12 @@ class RocmAiterUnifiedAttentionBackend(RocmAttentionBackend):
     def get_supported_kernel_block_sizes() -> list[int | MultipleOf]:
         return [MultipleOf(16)]
 
+    @classmethod
+    def supports_block_size(cls, block_size: int | None) -> bool:
+        if block_size is None:
+            return True
+        return block_size % 16 == 0
+
     @classmethod
     def supports_head_size(cls, head_size: int) -> bool:
         return head_size >= 32

vllm/v1/attention/backends/rocm_attn.py

@@ -188,6 +188,12 @@ class RocmAttentionBackend(AttentionBackend):
         # uses our optimized kernel logic.
         return [16, 32, 544]
 
+    @classmethod
+    def supports_block_size(cls, block_size: int | None) -> bool:
+        if block_size is None:
+            return True
+        return block_size in (16, 32, 544)
+
     @classmethod
     def get_supported_head_sizes(cls) -> list[int]:
         return [32, 64, 80, 96, 128, 160, 192, 224, 256]

vllm/v1/attention/backends/triton_attn.py

@@ -273,6 +273,12 @@ class TritonAttentionBackend(AttentionBackend):
     def get_supported_kernel_block_sizes() -> list[int | MultipleOf]:
         return [MultipleOf(16)]
 
+    @classmethod
+    def supports_block_size(cls, block_size: int | None) -> bool:
+        if block_size is None:
+            return True
+        return block_size % 16 == 0
+
     forward_includes_kv_cache_update: bool = False
 
     @staticmethod