init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>
2026-08-27 15:11:51 +08:00
parent b582a8e7d1
commit 7f8a1b1f7a
2849 changed files with 712887 additions and 22001 deletions
--- a/vllm_ascend/worker/v2/model_states/default.py
+++ b/vllm_ascend/worker/v2/model_states/default.py
@@ -0,0 +1,77 @@
+# Adapt from https://github.com/vllm-project/vllm/blob/main/vllm/v1/worker/gpu/model_states/default.py
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# This file is a part of the vllm-ascend project.
+#
+
+from typing import Any
+
+import torch
+from vllm.config.compilation import CUDAGraphMode
+from vllm.v1.kv_cache_interface import KVCacheConfig
+from vllm.v1.worker.gpu.model_states.default import DefaultModelState
+from vllm.v1.worker.utils import AttentionGroup
+
+from vllm_ascend.worker.v2.attn_utils import build_attn_metadata
+from vllm_ascend.worker.v2.input_batch import AscendInputBatch
+
+
+class AscendModelState(DefaultModelState):
+    """Model state for Ascend NPUs."""
+
+    def prepare_attn(
+        self,
+        input_batch: AscendInputBatch,
+        cudagraph_mode: CUDAGraphMode,
+        block_tables: tuple[torch.Tensor, ...],
+        slot_mappings: torch.Tensor,
+        attn_groups: list[list[AttentionGroup]],
+        kv_cache_config: KVCacheConfig,
+        for_capture: bool = False,
+    ) -> dict[str, Any]:
+        """Override prepare_attn method because `build_attn_metadata` is different from vllm."""
+        if cudagraph_mode == CUDAGraphMode.FULL:
+            # Use padded sizes - padding is handled by model_runner.prepare_attn.
+            num_reqs = input_batch.num_reqs_after_padding
+            num_tokens = input_batch.num_tokens_after_padding
+        else:
+            # For piecewise cudagraphs and eager, use unpadded sizes.
+            num_reqs = input_batch.num_reqs
+            num_tokens = input_batch.num_tokens
+        query_start_loc_cpu = torch.from_numpy(input_batch.query_start_loc_np)
+        max_query_len = input_batch.num_scheduled_tokens.max().item()
+        # attn_metadata is needed when update_full_graph_params, but no way can get it now.
+        # Temporarily store it in model_state.
+        self.attn_metadata = build_attn_metadata(
+            attn_groups=attn_groups,
+            num_reqs=num_reqs,
+            num_tokens=num_tokens,
+            query_start_loc_gpu=input_batch.query_start_loc,
+            query_start_loc_cpu=query_start_loc_cpu,
+            max_query_len=max_query_len,
+            seq_lens=input_batch.seq_lens,
+            max_seq_len=self.max_model_len,
+            block_tables=block_tables,
+            slot_mappings=slot_mappings,
+            kv_cache_config=kv_cache_config,
+            dcp_local_seq_lens=input_batch.dcp_local_seq_lens,
+            # extra attributes for ascend npus.
+            seq_lens_np=input_batch.seq_lens_np,
+            positions=input_batch.positions,
+            attn_state=input_batch.attn_state,
+            for_cudagraph_capture=for_capture,
+        )
+        return self.attn_metadata