diff --git a/tests/test_nested_tensor.py b/tests/test_nested_tensor.py
index c55171397..22e0ae267 100644
--- a/tests/test_nested_tensor.py
+++ b/tests/test_nested_tensor.py
@@ -7,7 +7,7 @@
 import unittest
 
 import torch
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 logger = logging.getLogger("__name__")
diff --git a/vissl/data/collators/multicrop_collator.py b/vissl/data/collators/multicrop_collator.py
index 40efb3d94..f5d8571af 100644
--- a/vissl/data/collators/multicrop_collator.py
+++ b/vissl/data/collators/multicrop_collator.py
@@ -5,7 +5,7 @@
 
 import torch
 from vissl.data.collators import register_collator
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 @register_collator("multicrop_collator")
diff --git a/vissl/models/base_ssl_model.py b/vissl/models/base_ssl_model.py
index 02e73ad74..6432420c7 100644
--- a/vissl/models/base_ssl_model.py
+++ b/vissl/models/base_ssl_model.py
@@ -12,7 +12,6 @@
 from classy_vision.models import ClassyModel, register_model
 from fairscale.nn.data_parallel import FullyShardedDataParallel as FSDP
 from vissl.config import AttrDict
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
 from vissl.models.heads import SwAVPrototypesHead, get_model_head
 from vissl.models.model_helpers import (
     get_trunk_output_feature_names,
@@ -27,6 +26,7 @@
 from vissl.utils.env import get_machine_local_and_dist_rank
 from vissl.utils.fsdp_utils import fsdp_recursive_reset_lazy_init
 from vissl.utils.misc import set_torch_seed
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 @register_model("multi_input_output_model")
diff --git a/vissl/models/model_helpers.py b/vissl/models/model_helpers.py
index e595bea8a..5f94d83a4 100644
--- a/vissl/models/model_helpers.py
+++ b/vissl/models/model_helpers.py
@@ -14,9 +14,9 @@
 import torch.nn.functional as F
 from torch.nn.modules.utils import _ntuple
 from torch.utils.checkpoint import checkpoint
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
 from vissl.utils.activation_checkpointing import checkpoint_trunk
 from vissl.utils.misc import is_apex_available
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 # Tuple of classes of BN layers.
diff --git a/vissl/models/trunks/regnet.py b/vissl/models/trunks/regnet.py
index a58da0817..1d009cf6c 100644
--- a/vissl/models/trunks/regnet.py
+++ b/vissl/models/trunks/regnet.py
@@ -10,7 +10,6 @@
 import torch.nn as nn
 from classy_vision.models import RegNet as ClassyRegNet, build_model
 from vissl.config import AttrDict
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
 from vissl.models.model_helpers import (
     Flatten,
     get_trunk_forward_outputs,
@@ -18,6 +17,7 @@
     transform_model_input_data_type,
 )
 from vissl.models.trunks import register_model_trunk
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 @register_model_trunk("regnet")
diff --git a/vissl/models/trunks/regnet_fsdp.py b/vissl/models/trunks/regnet_fsdp.py
index 222dc3922..a70e8d424 100644
--- a/vissl/models/trunks/regnet_fsdp.py
+++ b/vissl/models/trunks/regnet_fsdp.py
@@ -39,7 +39,6 @@
 from classy_vision.models.regnet import RegNetParams
 from fairscale.nn import checkpoint_wrapper
 from vissl.config import AttrDict
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
 from vissl.models.model_helpers import (
     Flatten,
     get_trunk_forward_outputs,
@@ -49,6 +48,7 @@
 from vissl.models.trunks import register_model_trunk
 from vissl.utils.fsdp_utils import auto_wrap_big_layers, fsdp_auto_wrap_bn, fsdp_wrapper
 from vissl.utils.misc import set_torch_seed
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 def init_weights(module):
diff --git a/vissl/models/trunks/resnext.py b/vissl/models/trunks/resnext.py
index d9eb1487c..76a0246fb 100644
--- a/vissl/models/trunks/resnext.py
+++ b/vissl/models/trunks/resnext.py
@@ -12,7 +12,6 @@
 import torchvision.models as models
 from torchvision.models.resnet import Bottleneck
 from vissl.config import AttrDict
-from vissl.data.collators.collator_helper import MultiDimensionalTensor
 from vissl.models.model_helpers import (
     Flatten,
     _get_norm,
@@ -21,6 +20,7 @@
     transform_model_input_data_type,
 )
 from vissl.models.trunks import register_model_trunk
+from vissl.utils.multi_dimensional_tensor import MultiDimensionalTensor
 
 
 # For more depths, add the block config here
diff --git a/vissl/data/collators/collator_helper.py b/vissl/utils/multi_dimensional_tensor.py
similarity index 100%
rename from vissl/data/collators/collator_helper.py
rename to vissl/utils/multi_dimensional_tensor.py