[BUG] Error was raised when importing model in v1.0.x

Describe the bug
CUDA error was raised when importing models. This issue only happens with BMInf 1.0.x version. I could run BmInf 0.0.5 successfully. Any help would be appreciated. Thanks.

Minimal steps to reproduce
Tried the following on both WSL2 Ubuntu 20.04 with GTX 3080 16G and native Ubuntu 18.04 with GTX 1070 8G

conda create --name bminfnew python=3.8
conda activate bminfnew
conda install cudatoolkit=11.3
pip install bminf==1.0.1

Then run

import bminf
cpm2 = bminf.models.CPM2()

Expected behavior
Start downloading the model.

Screenshots

Python 3.8.12 (default, Oct 12 2021, 13:49:34) 
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import bminf
>>> cpm2 = bminf.models.CPM2()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/mira/miniconda3/envs/bminfnew/lib/python3.8/site-packages/bminf/models/cpm2.py", line 55, in __init__
    SizeLimitedAllocator( self._cudaAlloc.allocate( dynamic_memory ))
  File "/home/mira/miniconda3/envs/bminfnew/lib/python3.8/site-packages/bminf/core/allocators/cuda.py", line 20, in allocate
    ptr = cudart.cudaMalloc(nbytes).value
  File "/home/mira/miniconda3/envs/bminfnew/lib/python3.8/site-packages/cpm_kernels/library/base.py", line 94, in wrapper
    return f(*args, **kwargs)
  File "/home/mira/miniconda3/envs/bminfnew/lib/python3.8/site-packages/cpm_kernels/library/cudart.py", line 375, in cudaMalloc
    checkCUDAStatus(cuda.cudaMalloc(ctypes.byref(ptr), size))
  File "/home/mira/miniconda3/envs/bminfnew/lib/python3.8/site-packages/cpm_kernels/library/cudart.py", line 327, in checkCUDAStatus
    raise RuntimeError("CUDA Runtime Error: %s" % cudaGetErrorString(error))
RuntimeError: CUDA Runtime Error: out of memory

Environment:
Tried with various cuda versions including 10.2 11.0 and 11.3

Reproduce the failure with the listed Conda, CUDA, and bminf==1.0.1 commands, then inspect bminf/models/cpm2.py and bminf/core/allocators/cuda.py at the reported allocation path. Done means bminf.models.CPM2() initializes and begins downloading the model without the CUDA out-of-memory error.