Hi, I am new to pytorch and I tried to load tensors to my server. However, I encountered an error.  Here is my code.
# -*- coding: utf-8 -*-
import torch
import torchnet
torch.load("imgs0.pt")

I got an error like
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-7-f6f1f025b648> in <module>
      2 import torch
      3 import torchnet
----> 4 torch.load("imgs0.pt")
      5 model.to(device)

/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
    385         f = f.open('rb')
    386     try:
--> 387         return _load(f, map_location, pickle_module, **pickle_load_args)
    388     finally:
    389         if new_fd:

/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py in _load(f, map_location, pickle_module, **pickle_load_args)
    572     unpickler = pickle_module.Unpickler(f, **pickle_load_args)
    573     unpickler.persistent_load = persistent_load
--> 574     result = unpickler.load()
    575 
    576     deserialized_storage_keys = pickle_module.load(f, **pickle_load_args)

/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py in persistent_load(saved_id)
    533             location = maybe_decode_ascii(location)
    534             if root_key not in deserialized_objects:
--> 535                 obj = data_type(size)
    536                 obj._torch_load_uninitialized = True
    537                 deserialized_objects[root_key] = restore_location(obj, location)

RuntimeError: [enforce fail at CPUAllocator.cpp:56] posix_memalign(&data, gAlignment, nbytes) == 0. 12 vs 0

At first, I thought maybe my cpu’s memory is not big enough for loading this tensor, and I tried to load it with my gpu. However, I got the same error, so I wondered whether this error is caused because of unpickling in python. Thank you for your help.