dd7e08c6db
What this PR does / why we need it? switch Ascend conv3d forward_oot to use forward_native and add ut Does this PR introduce any user-facing change? No How was this patch tested? by CI --------- Signed-off-by: zouyizhou <zouyizhou@huawei.com>
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
#
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# Copyright (c) 2026 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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#
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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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#
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import torch
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from vllm_ascend.ops.conv import AscendConv3dLayer
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class AscendConv3dLayer310(AscendConv3dLayer):
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def forward_oot(self, x: torch.Tensor) -> torch.Tensor:
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# 310P should avoid the aclnn BatchMatMulV2 Conv3D path used by
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# AscendConv3dLayer and keep vLLM's native Conv3d dispatch behavior.
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return super().forward_native(x)
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