code: def test_conv1d_convertion(self, tmpdir):
      model = create_conv1d_model()
      compressed_model = convert_conv1d_to_linear(model, Conv1D)
  
      assert isinstance(compressed_model[0], torch.nn.Linear)
      assert isinstance(compressed_model[1], torch.nn.Linear)
      assert isinstance(compressed_model[2], torch.nn.Linear)
      assert isinstance(compressed_model[3], torch.nn.Linear)
  
imports: import torch
  import pytest
  import random
  import numpy
  from unit.megatron_model import get_gpt2_model
  from deepspeed.compression.compress import init_compression
  from unit.modeling import BertConfig
  from unit.modelingpreln import BertEncoder
  from deepspeed.compression.basic_layer import LinearLayer_Compress, ColumnParallelLinear_Compress, RowParallelLinear_Compress
  from deepspeed.compression.helper import convert_conv1d_to_linear
  from deepspeed.accelerator import get_accelerator
  from deepspeed.runtime.utils import required_torch_version
  from unit.common import DistributedTest
label_desc: Use image node_id 5 for calling the TestCompression obj's underlying member method code with example usage: obj.test_conv1d_convertion(tmpdir) without return types