[CI] Fix broken CI (#2302)
1. disable test_eagle_ccorrectness test, we'll reopen it once oom error fixed. 2. drop transformers version limit for main, since vLLM rely on >=4.55.0, see:65552b476b3. fix kv_connector_output bug, see:796bae07c5- vLLM version: v0.10.0 - vLLM main:d1af8b7be9Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
6
.github/workflows/vllm_ascend_test.yaml
vendored
6
.github/workflows/vllm_ascend_test.yaml
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@@ -185,6 +185,9 @@ jobs:
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run: |
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pip install -r requirements-dev.txt
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pip install -v -e .
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if [[ "${{ matrix.vllm_version }}" == "v0.10.0" ]]; then
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pip install "transformers<4.54.0"
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fi
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- name: Run e2e test
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env:
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@@ -267,6 +270,9 @@ jobs:
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run: |
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pip install -r requirements-dev.txt
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pip install -v -e .
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if [[ "${{ matrix.vllm_version }}" == "v0.10.0" ]]; then
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pip install "transformers<4.54.0"
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fi
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- name: Run vllm-project/vllm-ascend test
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env:
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@@ -19,8 +19,6 @@ requires = [
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"msgpack",
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"quart",
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"numba",
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# Remove after https://github.com/vllm-project/vllm-ascend/issues/2034
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"transformers<4.54.0",
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]
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build-backend = "setuptools.build_meta"
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@@ -13,8 +13,6 @@ setuptools-scm>=8
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torch>=2.7.1
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torchvision
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wheel
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# Remove after https://github.com/vllm-project/vllm-ascend/issues/2034
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transformers<4.54.0
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# requirements for disaggregated prefill
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msgpack
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@@ -101,6 +101,7 @@ def test_ngram_correctness(
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del spec_llm
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@pytest.mark.skipif(True, reason="oom in CI, fix me")
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@pytest.mark.parametrize("use_eagle3", [False, True], ids=["eagle", "eagle3"])
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def test_eagle_correctness(
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test_prompts: list[list[dict[str, Any]]],
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@@ -1605,9 +1605,12 @@ class NPUModelRunner(LoRAModelRunnerMixin):
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intermediate_tensors))
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kv_connector_output = None
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if not vllm_version_is("0.10.0"):
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kv_connector_output = KVConnectorOutput(
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finished_sending=finished_sending,
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finished_recving=finished_recving)
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if finished_sending is not None and finished_recving is not None:
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kv_connector_output = KVConnectorOutput(
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finished_sending=finished_sending,
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finished_recving=finished_recving)
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else:
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kv_connector_output = None
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finished_sending = None
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finished_recving = None
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with ProfileExecuteDuration().capture_async("post process"):
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