### What this PR does / why we need it?
This is a part of
https://github.com/vllm-project/vllm-ascend/issues/4715#issue-3694310762
1. refactor the npugraph_ex config,modified the default configuration of
the static kernel, new default value of static kernel is false
2. support online-infer with static kernel
3. fixed the issue where manually modifying FX graphs caused an abnormal
model return type, and removed the related redundant code.
### Does this PR introduce _any_ user-facing change?
yes,the new config of npugraph_ex is as follow:
```
additional_config={
"npugraph_ex_config": {
"enable": True,
"enable_static_kernel": False
}
}
```
### How was this patch tested?
```
vllm serve /data/DeepSeek-V3.1-Terminus-w4a8 \
--host 0.0.0.0 \
--port 8004 \
--data-parallel-size 4 \
--tensor-parallel-size 4 \
--quantization ascend \
--seed 1024 \
--served-model-name deepseek_v3 \
--enable-expert-parallel \
--max-num-seqs 48 \
--max-model-len 40000 \
--async-scheduling \
--max-num-batched-tokens 9000 \
--trust-remote-code \
--no-enable-prefix-caching \
--speculative-config '{"num_speculative_tokens": 3, "method":"deepseek_mtp","disable_padded_drafter_batch": false}' \
--gpu-memory-utilization 0.9 \
--compilation-config '{"cudagraph_capture_sizes":[4,32,64,112,160,176,192], "cudagraph_mode": "FULL_DECODE_ONLY"}' \
--additional-config \
'{"enable_shared_expert_dp": true,"multistream_overlap_shared_expert": true,"npugraph_ex_config":{"enable":true}}'
```
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
---------
Signed-off-by: chencangtao <chencangtao@huawei.com>
Signed-off-by: ChenCangtao <50493711+ChenCangtao@users.noreply.github.com>
Co-authored-by: chencangtao <chencangtao@huawei.com>
117 lines
4.7 KiB
Python
117 lines
4.7 KiB
Python
#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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from unittest.mock import patch
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from vllm.config import VllmConfig
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from tests.ut.base import TestBase
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from vllm_ascend.ascend_config import clear_ascend_config, get_ascend_config, init_ascend_config
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class TestAscendConfig(TestBase):
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@staticmethod
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def _clean_up_ascend_config(func):
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def wrapper(*args, **kwargs):
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clear_ascend_config()
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func(*args, **kwargs)
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clear_ascend_config()
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return wrapper
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@_clean_up_ascend_config
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@patch("vllm_ascend.platform.NPUPlatform._fix_incompatible_config")
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def test_init_ascend_config_without_additional_config(self, mock_fix_incompatible_config):
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test_vllm_config = VllmConfig()
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# No additional config given, check the default value here.
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertFalse(ascend_config.multistream_overlap_shared_expert)
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self.assertFalse(ascend_config.enable_kv_nz)
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ascend_compilation_config = ascend_config.ascend_compilation_config
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self.assertTrue(ascend_compilation_config.fuse_norm_quant)
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ascend_fusion_config = ascend_config.ascend_fusion_config
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self.assertTrue(ascend_fusion_config.fusion_ops_gmmswigluquant)
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@_clean_up_ascend_config
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@patch("vllm_ascend.platform.NPUPlatform._fix_incompatible_config")
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def test_init_ascend_config_with_additional_config(self, mock_fix_incompatible_config):
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test_vllm_config = VllmConfig()
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test_vllm_config.additional_config = {
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"ascend_compilation_config": {
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"fuse_norm_quant": False,
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},
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"ascend_fusion_config": {
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"fusion_ops_gmmswigluquant": False,
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},
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"multistream_overlap_shared_expert": True,
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"eplb_config": {"num_redundant_experts": 2},
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"refresh": True,
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"enable_kv_nz": False,
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}
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertEqual(ascend_config.eplb_config.num_redundant_experts, 2)
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self.assertTrue(ascend_config.multistream_overlap_shared_expert)
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npugraph_ex_config = ascend_config.npugraph_ex_config
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self.assertFalse(npugraph_ex_config.enable)
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self.assertFalse(npugraph_ex_config.enable_static_kernel)
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ascend_compilation_config = ascend_config.ascend_compilation_config
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self.assertFalse(ascend_compilation_config.fuse_norm_quant)
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self.assertFalse(ascend_config.enable_kv_nz)
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ascend_fusion_config = ascend_config.ascend_fusion_config
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self.assertFalse(ascend_fusion_config.fusion_ops_gmmswigluquant)
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@_clean_up_ascend_config
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@patch("vllm_ascend.platform.NPUPlatform._fix_incompatible_config")
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def test_init_ascend_config_enable_npugraph_ex(self, mock_fix_incompatible_config):
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test_vllm_config = VllmConfig()
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test_vllm_config.additional_config = {
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"npugraph_ex_config": {
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"enable": True,
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"enable_static_kernel": True
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},
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"refresh": True
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}
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npugraph_ex_config = init_ascend_config(
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test_vllm_config).npugraph_ex_config
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self.assertTrue(npugraph_ex_config.enable)
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self.assertTrue(npugraph_ex_config.enable_static_kernel)
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@_clean_up_ascend_config
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@patch("vllm_ascend.platform.NPUPlatform._fix_incompatible_config")
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def test_get_ascend_config(self, mock_fix_incompatible_config):
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test_vllm_config = VllmConfig()
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertEqual(get_ascend_config(), ascend_config)
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@_clean_up_ascend_config
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def test_get_ascend_config_without_init(self):
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with self.assertRaises(RuntimeError):
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get_ascend_config()
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@_clean_up_ascend_config
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@patch("vllm_ascend.platform.NPUPlatform._fix_incompatible_config")
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def test_clear_ascend_config(self, mock_fix_incompatible_config):
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test_vllm_config = VllmConfig()
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertEqual(get_ascend_config(), ascend_config)
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clear_ascend_config()
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with self.assertRaises(RuntimeError):
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get_ascend_config()
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