wehub-resource-sync
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
|
|
import pytest
|
|
import torch
|
|
from torch import nn
|
|
|
|
from vllm.lora.layers.utils import _get_lora_device
|
|
|
|
pytestmark = pytest.mark.skip_global_cleanup
|
|
|
|
|
|
def _param() -> nn.Parameter:
|
|
return nn.Parameter(torch.empty(1), requires_grad=False)
|
|
|
|
|
|
def test_get_lora_device_unquantized():
|
|
base_layer = nn.Module()
|
|
base_layer.weight = _param()
|
|
assert _get_lora_device(base_layer) == base_layer.weight.device
|
|
|
|
|
|
def test_get_lora_device_gptq_awq():
|
|
base_layer = nn.Module()
|
|
base_layer.qweight = _param()
|
|
assert _get_lora_device(base_layer) == base_layer.qweight.device
|
|
|
|
|
|
def test_get_lora_device_ark_linear():
|
|
base_layer = nn.Module()
|
|
base_layer.ark_linear = nn.Module()
|
|
base_layer.ark_linear.qweight = _param()
|
|
assert _get_lora_device(base_layer) == base_layer.ark_linear.qweight.device
|
|
|
|
|
|
def test_get_lora_device_unsupported_raises():
|
|
base_layer = nn.Module()
|
|
with pytest.raises(ValueError, match="Unsupported base layer"):
|
|
_get_lora_device(base_layer)
|