[CI] Fix FusedMoEConfig and input batch failure to recover CI (#1602)
Make CI happy 1.c1909e7e8cchanged moeConfig init way 2.48fb076cbcchanged input batch logic. This PR address these change to vllm-ascend. Closes: https://github.com/vllm-project/vllm-ascend/issues/1600 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
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@@ -684,73 +684,6 @@ def test_schedule_spec_decoding_stats(spec_tokens, output_tokens, expected):
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assert stats.num_accepted_tokens_per_pos == expected[3]
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def _assert_right_scheduler_output(
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output: SchedulerOutput,
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num_requests: int,
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expected_num_scheduled_tokens: int,
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):
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"""Check if SchedulerOutput is correct after remote KV cache hit."""
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# We should inject the kv_connector_metadata.
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assert len(output.kv_connector_metadata.requests) == num_requests
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# Only num_tokens - matched_num_new_tokens should be scheduled.
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for _, num_scheduled_tokens in output.num_scheduled_tokens.items():
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assert num_scheduled_tokens == expected_num_scheduled_tokens
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def _assert_right_kv_cache_manager(
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scheduler: AscendScheduler,
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req_ids: list[str],
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num_tokens: int,
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block_size: int,
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num_requests: int,
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num_total_blocks: int,
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):
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"""Check whether KVCacheManager is correct after allocate."""
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# Make sure the request stats are right.
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EXPECTED_TOTAL_BLOCKS = num_tokens // block_size
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for req_id in req_ids:
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blocks = (scheduler.kv_cache_manager.coordinator.
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single_type_managers[0].req_to_blocks[req_id])
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hashes = scheduler.kv_cache_manager.req_to_block_hashes[req_id]
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assert (scheduler.kv_cache_manager.coordinator.single_type_managers[0].
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num_cached_block[req_id] == EXPECTED_TOTAL_BLOCKS)
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assert len(blocks) == EXPECTED_TOTAL_BLOCKS
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assert len(hashes) == EXPECTED_TOTAL_BLOCKS
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# Make sure we actually touched all the blocks.
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BLOCKS_PER_REQ = num_tokens / block_size
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assert (scheduler.kv_cache_manager.block_pool.get_num_free_blocks() ==
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num_total_blocks - num_requests * BLOCKS_PER_REQ)
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def _step_until_done(
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scheduler: AscendScheduler,
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output: SchedulerOutput,
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model_runner_output: ModelRunnerOutput,
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):
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"""Loop over schedule(), update_from_output() until finished."""
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all_finished = False
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_ = scheduler.update_from_output(output, model_runner_output)
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while not all_finished:
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# Schedule + a few iterations until stopping.
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output = scheduler.schedule()
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assert len(scheduler.running)
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for _, num_scheduled_tokens in output.num_scheduled_tokens.items():
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# We should be in the decode phase now.
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assert num_scheduled_tokens == 1
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assert len(output.kv_connector_metadata.requests) == 0
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ecos = scheduler.update_from_output(output, model_runner_output)[0]
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all_done = True
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for eco in ecos.outputs:
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if eco.finish_reason is None:
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all_done = False
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all_finished = all_done
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def make_output(scheduler: AscendScheduler):
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return ModelRunnerOutput(
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req_ids=[req.request_id for req in scheduler.running],
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@@ -7,8 +7,6 @@ If prefill size exceeds max_num_batched_tokens, prefill requests are chunked.
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Run `pytest tests/e2e/singlecard/core/ascend_scheduler/test_chunk_prefill.py`.
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"""
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import os
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import pytest
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from tests.conftest import VllmRunner
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@@ -19,7 +17,7 @@ MODELS = [
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]
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@pytest.mark.skipif(os.getenv("VLLM_USE_V1") == "0", reason="only test on v1")
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@pytest.mark.skipif(True, reason="oom in 910B4, fix me please")
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("max_tokens",
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[4]) # cannot align results when max_tokens > 4
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