init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>
This commit is contained in:
2026-08-27 15:11:51 +08:00
parent b582a8e7d1
commit 7f8a1b1f7a
2849 changed files with 712887 additions and 22001 deletions

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#
# Copyright (c) 2026 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, 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.
from unittest.mock import patch
import torch
from tests.ut.base import TestBase
from vllm_ascend._310p.ops.rotary_embedding import AscendRotaryEmbedding310
from vllm_ascend._310p.spec_decode.llm_base_proposer_310 import AscendSpecDecodeBaseProposer310
from vllm_ascend.spec_decode.llm_base_proposer import AscendSpecDecodeBaseProposer
class TestAscendSpecDecodeBaseProposer310(TestBase):
def test_run_merged_draft_sets_rope_flag_before_call(self):
flag_states = []
def mock_original(
self,
num_input_tokens,
batch_size,
token_indices_to_sample,
target_positions,
inputs_embeds,
multi_steps_attn_metadata,
num_tokens,
is_prefill=None,
):
flag_states.append(AscendRotaryEmbedding310._is_drafting_update_enabled)
return torch.zeros(num_tokens, dtype=torch.long)
with (
patch.object(AscendSpecDecodeBaseProposer, "_run_merged_draft", mock_original),
patch("vllm_ascend._310p.spec_decode.llm_base_proposer_310._original_run_merged_draft", mock_original),
):
proposer = object.__new__(AscendSpecDecodeBaseProposer310)
proposer._run_merged_draft(
num_input_tokens=4,
batch_size=2,
token_indices_to_sample=torch.tensor([0, 1]),
target_positions=torch.tensor([0, 1, 2, 3]),
inputs_embeds=torch.zeros(4, 128),
multi_steps_attn_metadata=None,
num_tokens=4,
)
self.assertEqual(len(flag_states), 1)
self.assertTrue(flag_states[0])
self.assertFalse(AscendRotaryEmbedding310._is_drafting_update_enabled)
def test_run_merged_draft_restores_rope_flag_after_exception(self):
def mock_original(*args, **kwargs):
raise RuntimeError("Test exception")
with (
patch.object(AscendSpecDecodeBaseProposer, "_run_merged_draft", mock_original),
patch("vllm_ascend._310p.spec_decode.llm_base_proposer_310._original_run_merged_draft", mock_original),
):
proposer = object.__new__(AscendSpecDecodeBaseProposer310)
with self.assertRaises(RuntimeError):
proposer._run_merged_draft(
num_input_tokens=4,
batch_size=2,
token_indices_to_sample=torch.tensor([0, 1]),
target_positions=torch.tensor([0, 1, 2, 3]),
inputs_embeds=torch.zeros(4, 128),
multi_steps_attn_metadata=None,
num_tokens=4,
)
self.assertFalse(AscendRotaryEmbedding310._is_drafting_update_enabled)