### What this PR does / why we need it?
We will expose the enabling switch for npugraph_ex to better facilitate
subsequent optimization.
### Does this PR introduce _any_ user-facing change?
Previously, the enable_npugraph_ex switch would trigger an error; now we
have removed the error reporting mechanism to better facilitate
subsequent optimization efforts.
Basic functionalities are available in CANN and torch_npu for Q3, while
advanced optimizations will depend on the Q4 release.
### How was this patch tested?
llm =LLM(
model=model,
enforce_eager=False ,
additional_config={
"enable_npugraph_ex": True
},
compilation_config={
"cudagraph_mode": "FULL_DECODE_ONLY",
"cudagraph_capture_sizes": [16],
},
}
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: p00465316 <panchao13@huawei.com>
Co-authored-by: p00465316 <panchao13@huawei.com>
Co-authored-by: weijinqian0 <1184188277@qq.com>
94 lines
3.5 KiB
Python
94 lines
3.5 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 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,
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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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def test_init_ascend_config_without_additional_config(self):
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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.assertIsNone(ascend_config.expert_map_path)
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self.assertFalse(ascend_config.multistream_overlap_shared_expert)
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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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@_clean_up_ascend_config
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def test_init_ascend_config_with_additional_config(self):
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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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"multistream_overlap_shared_expert": True,
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"expert_map_path": "test_expert_map_path",
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"refresh": True,
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}
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertEqual(ascend_config.expert_map_path, "test_expert_map_path")
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self.assertTrue(ascend_config.multistream_overlap_shared_expert)
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self.assertFalse(ascend_config.enable_npugraph_ex)
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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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@_clean_up_ascend_config
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def test_init_ascend_config_enable_npugraph_ex(self):
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test_vllm_config = VllmConfig()
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test_vllm_config.additional_config = {
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"enable_npugraph_ex": True,
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"refresh": True,
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}
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ascend_config = init_ascend_config(test_vllm_config)
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self.assertTrue(ascend_config.enable_npugraph_ex)
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@_clean_up_ascend_config
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def test_get_ascend_config(self):
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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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def test_clear_ascend_config(self):
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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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