[Performance] Use forward_native for Conv3dLayer and add UT (#8375)

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>
This commit is contained in:
zyz111222
2026-04-20 17:20:40 +08:00
committed by GitHub
parent c124e8df07
commit dd7e08c6db
3 changed files with 64 additions and 0 deletions

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from unittest.mock import MagicMock, patch
import pytest
import torch
from vllm.config import set_current_vllm_config
from vllm.model_executor.layers.conv import Conv3dLayer
from vllm_ascend._310p.ops.conv import AscendConv3dLayer310
@pytest.fixture(autouse=True)
def default_vllm_config():
mock_config = MagicMock()
mock_config.compilation_config.custom_ops = ["all"]
with set_current_vllm_config(mock_config):
yield mock_config
def test_conv3d_310_forward_oot_uses_forward_native():
layer = AscendConv3dLayer310(
in_channels=2,
out_channels=4,
kernel_size=(2, 2, 2),
stride=(2, 2, 2),
bias=True,
params_dtype=torch.float32,
)
x = torch.randn(1, 2, 4, 4, 4, dtype=torch.float32)
expected = torch.randn(1, 4, 2, 2, 2, dtype=torch.float32)
with patch.object(Conv3dLayer, "forward_native", autospec=True, return_value=expected) as mock_forward_native:
out = layer.forward_oot(x)
mock_forward_native.assert_called_once_with(layer, x)
assert out is expected