[CI/Build] Refresh tags before building macOS wheel (#49901)

Signed-off-by: khluu <khluu000@gmail.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
(cherry picked from commit 0934b26790)

.buildkite/release-pipeline.yaml

@@ -813,8 +813,8 @@ steps:
 
             # Download artifacts from current build
             echo "Downloading artifacts from current build"
-            # buildkite-agent artifact download "artifacts/rocm-base-wheels/*.whl" .
-            # buildkite-agent artifact download "artifacts/rocm-vllm-wheel/*.whl" .
+            buildkite-agent artifact download "artifacts/rocm-base-wheels/*.whl" .
+            buildkite-agent artifact download "artifacts/rocm-vllm-wheel/*.whl" .
 
             # # Run upload script
             bash .buildkite/scripts/upload-rocm-wheels.sh

.buildkite/scripts/build-macos-wheel.sh

@@ -7,6 +7,9 @@
 
 set -euo pipefail
 
+# The macmini queue uses persistent checkouts, so refresh tags for setuptools-scm.
+git fetch --tags --force origin
+
 # The Rust frontend build needs protoc.
 if ! command -v protoc >/dev/null 2>&1; then
   brew install protobuf

.buildkite/test_areas/basic_correctness.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Basic Correctness
   key: basic-correctness
-  timeout_in_minutes: 45
+  timeout_in_minutes: 68
   device: h200_18gb
   source_file_dependencies:
   - vllm/

.buildkite/test_areas/benchmarks.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: Benchmarks CLI Test
   key: benchmarks-cli-test
-  timeout_in_minutes: 30
+  timeout_in_minutes: 45
   device: h200_18gb
   source_file_dependencies:
   - vllm/

.buildkite/test_areas/engine.yaml

@@ -51,7 +51,7 @@ steps:
 
 - label: e2e Scheduling (1 GPU)
   key: e2e-scheduling-1-gpu
-  timeout_in_minutes: 35
+  timeout_in_minutes: 53
   device: h200_18gb
   source_file_dependencies:
     - vllm/v1/

.buildkite/test_areas/entrypoints.yaml

@@ -39,7 +39,7 @@ steps:
 - label: Entrypoints Integration (API Server)
   key: entrypoints-integration-api-server
   device: h200_35gb
-  timeout_in_minutes: 50
+  timeout_in_minutes: 75
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
@@ -59,7 +59,7 @@ steps:
 - label: Entrypoints Integration (API Server OpenAI - Part 1)
   device: h200_35gb
   key: entrypoints-integration-api-server-openai-part-1
-  timeout_in_minutes: 45
+  timeout_in_minutes: 68
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
@@ -78,7 +78,7 @@ steps:
 - label: Entrypoints Integration (API Server OpenAI - Part 2)
   device: h200_35gb
   key: entrypoints-integration-api-server-openai-part-2
-  timeout_in_minutes: 45
+  timeout_in_minutes: 83
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/
@@ -156,7 +156,7 @@ steps:
 - label: Entrypoints Integration (Pooling)
   device: h200_35gb
   key: entrypoints-integration-pooling
-  timeout_in_minutes: 50
+  timeout_in_minutes: 75
   working_dir: "/vllm-workspace/tests"
   source_file_dependencies:
   - vllm/

.buildkite/test_areas/misc.yaml

@@ -31,7 +31,7 @@ steps:
 
 - label: V1 Sample + Logits
   key: v1-sample-logits
-  timeout_in_minutes: 45
+  timeout_in_minutes: 83
   device: h200_18gb
   source_file_dependencies:
     - vllm/config/

.buildkite/test_areas/model_executor.yaml

@@ -5,7 +5,7 @@ steps:
 - label: Model Executor
   device: h200_35gb
   key: model-executor
-  timeout_in_minutes: 45
+  timeout_in_minutes: 60
   source_file_dependencies:
   - vllm/engine/arg_utils.py
   - vllm/config/model.py

.buildkite/test_areas/models_language.yaml

@@ -137,7 +137,7 @@ steps:
 
 - label: Language Models Test (MTEB)
   key: language-models-test-mteb
-  timeout_in_minutes: 45
+  timeout_in_minutes: 68
   device: h200_18gb
   optional: true
   source_file_dependencies:

.buildkite/test_areas/models_multimodal.yaml

@@ -4,7 +4,7 @@ depends_on:
 steps:
 - label: "Multi-Modal Models (Standard) 1: qwen2"
   key: multi-modal-models-standard-1-qwen2
-  timeout_in_minutes: 45
+  timeout_in_minutes: 68
   device: h200_18gb
   source_file_dependencies:
   - vllm/
@@ -20,7 +20,7 @@ steps:
 
 - label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
   key: multi-modal-models-standard-2-qwen3-gemma
-  timeout_in_minutes: 50
+  timeout_in_minutes: 75
   device: h200_18gb
   source_file_dependencies:
   - vllm/
@@ -54,7 +54,7 @@ steps:
 - label: "Multi-Modal Models (Standard) 4: other + whisper"
   device: h200_35gb
   key: multi-modal-models-standard-4-other-whisper
-  timeout_in_minutes: 50
+  timeout_in_minutes: 75
   source_file_dependencies:
   - vllm/
   - tests/models/multimodal
@@ -85,7 +85,7 @@ steps:
 
 - label: Multi-Modal Processor # 44min
   key: multi-modal-processor
-  timeout_in_minutes: 65
+  timeout_in_minutes: 98
   device: h200_18gb
   source_file_dependencies:
   - vllm/

.buildkite/test_areas/pytorch.yaml

@@ -5,7 +5,7 @@ steps:
 - label: PyTorch Compilation Unit Tests
   device: h200_35gb
   key: pytorch-compilation-unit-tests
-  timeout_in_minutes: 90
+  timeout_in_minutes: 150
   source_file_dependencies:
     - vllm/__init__.py
     - vllm/_aiter_ops.py

vllm/transformers_utils/config.py

@@ -72,6 +72,7 @@ class LazyConfigDict(dict):
 _CONFIG_REGISTRY: dict[str, type[PretrainedConfig]] = LazyConfigDict(
     afmoe="AfmoeConfig",
     arctic="ArcticConfig",
+    axk1="AXK1Config",
     bagel="BagelConfig",
     umm="CheersConfig",
     chatglm="ChatGLMConfig",

vllm/transformers_utils/configs/AXK1.py

@@ -114,7 +114,7 @@ class AXK1Config(PretrainedConfig):
             The dropout ratio for the attention probabilities.
     """
 
-    model_type = "AXK1"
+    model_type = "axk1"
     keys_to_ignore_at_inference = ["past_key_values"]
 
     def __init__(

vllm/transformers_utils/model_arch_config_convertor.py

@@ -261,7 +261,7 @@ class ModelArchConfigConvertorBase:
         if not hasattr(self.hf_text_config, "model_type"):
             return False
         elif self.hf_text_config.model_type in (
-            "AXK1",
+            "axk1",
             "deepseek_v2",
             "deepseek_v3",
             "deepseek_v32",
@@ -290,7 +290,7 @@ class ModelArchConfigConvertorBase:
             return (
                 self.hf_text_config.model.model_type
                 in (
-                    "AXK1",
+                    "axk1",
                     "deepseek_v2",
                     "deepseek_v3",
                     "deepseek_v32",