32a9c5f694
### What this PR does / why we need it?
it'll execute allreduce and malmul seperately in vllm RowParallelLinear
forward funcion, this function use torch_npu.npu_mm_all_reduce_base to
execute allreduce and matmul in a fused kernel way. this will gain a 20%
performance
promotion in eager mode.
### Does this PR introduce _any_ user-facing change?
this PR introduce a new env `VLLM_ASCEND_ENABLE_MATMUL_ALLREDUCE` to
control whether enable the feature or not.
### How was this patch tested?
the patch is tested by adding a new test file `test_patch_linear.py` to
guard the ut
- vLLM version: v0.10.0
- vLLM main:
7728dd77bb
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
45 lines
1.3 KiB
Python
45 lines
1.3 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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import unittest
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import pytest
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from vllm_ascend.utils import adapt_patch, register_ascend_customop
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class TestBase(unittest.TestCase):
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def __init__(self, *args, **kwargs):
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# adapt patch by default.
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adapt_patch(True)
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adapt_patch()
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register_ascend_customop()
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super().setUp()
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super(TestBase, self).__init__(*args, **kwargs)
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class PytestBase:
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"""Base class for pytest-based tests.
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because pytest mocker and parametrize usage are not compatible with unittest.
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so we need to use a separate base class for pytest tests.
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"""
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@pytest.fixture(autouse=True)
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def setup(self):
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adapt_patch(True)
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adapt_patch()
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register_ascend_customop()
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