[refactor] refactor ColoTensor's unit tests (#1340)

tests/test_tensor/_utils/__init__.py

-from ._util import *
\ No newline at end of file

tests/test_tensor/common_utils/__init__.py

+from ._utils import *

tests/test_tensor/test_gpt2.py → tests/test_tensor/model/test_gpt2.py

 import pytest
 
 from functools import partial
-from _utils import tensor_equal, tensor_shard_equal, set_seed
+from tests.test_tensor.common_utils import tensor_equal, tensor_shard_equal, set_seed
 
 import torch
 from torch.nn.parallel import DistributedDataParallel as DDP

tests/test_tensor/test_model.py → tests/test_tensor/model/test_model.py

 import pytest
 from functools import partial
-from _utils import tensor_shard_equal, set_seed
-
 import torch
 import torch.multiprocessing as mp
 
@@ -15,7 +13,8 @@ from colossalai.tensor import ColoTensor, ProcessGroup
 from colossalai.nn.optimizer import ColossalaiOptimizer
 
 from tests.components_to_test.registry import non_distributed_component_funcs
-from _utils import split_param_row_tp1d, split_param_col_tp1d
+from tests.test_tensor.common_utils import tensor_shard_equal, check_equal, set_seed, \
+    split_param_row_tp1d, split_param_col_tp1d
 
 
 def run_1d_hybrid_tp(model_name):
@@ -264,7 +263,6 @@ def run_1d_row_tp(model_name: str):
 
 
 def _run_pretrain_load():
-    from _utils import check_equal
     from transformers import BertForMaskedLM
     set_seed(1)
     model_pretrained = BertForMaskedLM.from_pretrained('bert-base-uncased')

tests/test_tensor/test_module_spec.py → tests/test_tensor/model/test_module_spec.py

@@ -7,7 +7,7 @@ import torch.multiprocessing as mp
 
 from colossalai.tensor import ColoTensor, ComputePattern, ComputeSpec, ShardSpec, ColoTensorSpec
 from colossalai.nn.parallel.layers import init_colo_module, check_colo_module
-from _utils import tensor_equal, tensor_shard_equal, set_seed
+from tests.test_tensor.common_utils import tensor_equal, tensor_shard_equal, set_seed
 
 import colossalai
 from colossalai.utils.cuda import get_current_device

tests/test_tensor/test_addmm_tp.py → tests/test_tensor/ops/test_addmm_tp.py

@@ -8,7 +8,7 @@ from colossalai.tensor import ColoTensorSpec
 from colossalai.testing import rerun_if_address_is_in_use
 from colossalai.utils import free_port
 from functools import partial
-from _utils import tensor_shard_equal, tensor_equal, split_param_row_tp1d, split_param_col_tp1d
+from tests.test_tensor.common_utils import tensor_shard_equal, tensor_equal, split_param_row_tp1d, split_param_col_tp1d
 
 
 class Conv1D(nn.Module):

tests/test_tensor/test_embedding_bag_tp.py → tests/test_tensor/ops/test_embedding_bag_tp.py

@@ -8,7 +8,7 @@ import torch.multiprocessing as mp
 from colossalai.testing import rerun_if_address_is_in_use
 from colossalai.utils import free_port
 from colossalai.tensor import ColoParameter, ColoTensorSpec, ProcessGroup
-from _utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d
+from tests.test_tensor.common_utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d
 
 
 def run_with_spec(spec_init_func):

tests/test_tensor/test_embedding_tp.py → tests/test_tensor/ops/test_embedding_tp.py

@@ -8,7 +8,7 @@ import torch.multiprocessing as mp
 from colossalai.testing import rerun_if_address_is_in_use
 from colossalai.utils import free_port
 from colossalai.tensor import ColoTensorSpec, ProcessGroup, ColoTensor
-from _utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d, split_param_row_tp1d
+from tests.test_tensor.common_utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d, split_param_row_tp1d
 
 
 def run_with_spec(spec_init_func, pg: ProcessGroup):

tests/test_tensor/test_linear_tp.py → tests/test_tensor/ops/test_linear_tp.py

@@ -8,7 +8,7 @@ import torch.nn.functional as F
 from colossalai.testing import rerun_if_address_is_in_use
 from colossalai.utils import free_port
 from colossalai.tensor import ColoTensorSpec, ProcessGroup, ColoTensor
-from _utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d, split_param_row_tp1d
+from tests.test_tensor.common_utils import tensor_equal, tensor_shard_equal, split_param_col_tp1d, split_param_row_tp1d
 
 
 def run_with_spec(spec_init_func, split_bias):

tests/test_tensor/test_parameter.py

 from colossalai.tensor import ColoParameter, ColoTensor, ColoTensorSpec, ProcessGroup
 import torch
 import pytest
-from _utils import tensor_equal
+from common_utils import tensor_equal
 import colossalai
 from colossalai.utils import free_port
 

tests/test_tensor/test_zero_optim.py

@@ -8,7 +8,7 @@ from colossalai.utils import free_port
 from colossalai.utils.model.colo_init_context import ColoInitContext
 from colossalai.gemini import ChunkManager
 from functools import partial
-from _utils import tensor_equal, set_seed, tensor_shard_equal
+from tests.test_tensor.common_utils import tensor_equal, set_seed, tensor_shard_equal
 from tests.components_to_test.registry import non_distributed_component_funcs
 from torch.nn.parallel import DistributedDataParallel as DDP
 from colossalai.nn.parallel import ZeroDDP