我在 Inspiron 15 3000 系列上安装了 Linux 16.04 和 Windows 10 双启动，调用 NumPy 对象时似乎内存不足。我尝试下载博士问答，一种用于开放域问答的阅读理解系统，由 Facebook 研究小组开发。它包括调用提供的训练模型和数据进行维基百科问答。我尝试运行来interactive.py尝试它，但在向提示符提出我的第一个问题后，它就内存不足了。
(wiki_env) mike@mike-thinks:~/Programing/WikiQueri/DrQA$ python3.6 scripts/pipeline/interactive.py
07/19/2018 01:49:54 PM: [ Running on CPU only. ]
07/19/2018 01:49:54 PM: [ Initializing pipeline... ]
07/19/2018 01:49:54 PM: [ Initializing document ranker... ]
07/19/2018 01:49:54 PM: [ Loading /home/mike/Programing/WikiQueri/DrQA/data/wikipedia/docs-tfidf-ngram=2-hash=16777216-tokenizer=simple.npz ]
Traceback (most recent call last):
File "scripts/pipeline/interactive.py", line 69, in <module>
reader_model=args.reader_model,
File "/home/mike/Programing/WikiQueri/DrQA/drqa/pipeline/drqa.py", line 109, in __init__
self.ranker = ranker_class(**ranker_opts)
File "/home/mike/Programing/WikiQueri/DrQA/drqa/retriever/tfidf_doc_ranker.py", line 37, in __init__
matrix, metadata = utils.load_sparse_csr(tfidf_path)
File "/home/mike/Programing/WikiQueri/DrQA/drqa/retriever/utils.py", line 34, in load_sparse_csr
matrix = sp.csr_matrix((loader['data'], loader['indices'],
File "/home/mike/.local/lib/python3.6/site-packages/numpy/lib/npyio.py", line 235, in __getitem__
pickle_kwargs=self.pickle_kwargs)
File "/home/mike/.local/lib/python3.6/site-packages/numpy/lib/format.py", line 674, in read_array
array = numpy.ndarray(count, dtype=dtype)
MemoryError
Error in sys.excepthook:
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/apport_python_hook.py", line 63, in apport_excepthook
from apport.fileutils import likely_packaged, get_recent_crashes
File "/usr/lib/python3/dist-packages/apport/__init__.py", line 5, in <module>
from apport.report import Report
File "/usr/lib/python3/dist-packages/apport/report.py", line 30, in <module>
import apport.fileutils
File "/usr/lib/python3/dist-packages/apport/fileutils.py", line 23, in <module>
from apport.packaging_impl import impl as packaging
File "/usr/lib/python3/dist-packages/apport/packaging_impl.py", line 23, in <module>
import apt
File "/usr/lib/python3/dist-packages/apt/__init__.py", line 23, in <module>
import apt_pkg
ModuleNotFoundError: No module named 'apt_pkg'
Original exception was:
Traceback (most recent call last):
File "scripts/pipeline/interactive.py", line 69, in <module>
reader_model=args.reader_model,
File "/home/mike/Programing/WikiQueri/DrQA/drqa/pipeline/drqa.py", line 109, in __init__
self.ranker = ranker_class(**ranker_opts)
File "/home/mike/Programing/WikiQueri/DrQA/drqa/retriever/tfidf_doc_ranker.py", line 37, in __init__
matrix, metadata = utils.load_sparse_csr(tfidf_path)
File "/home/mike/Programing/WikiQueri/DrQA/drqa/retriever/utils.py", line 34, in load_sparse_csr
matrix = sp.csr_matrix((loader['data'], loader['indices'],
File "/home/mike/.local/lib/python3.6/site-packages/numpy/lib/npyio.py", line 235, in __getitem__
pickle_kwargs=self.pickle_kwargs)
File "/home/mike/.local/lib/python3.6/site-packages/numpy/lib/format.py", line 674, in read_array
array = numpy.ndarray(count, dtype=dtype)
MemoryError
所以我了解到这意味着我的内存用完了，我该怎么做才能应对这个错误？是因为模型太大吗？
以下是我的内存使用情况的输出free -m：
total used free shared buff/cache available
Mem: 7888 5515 1013 320 1359 1718
Swap: 0 0 0
和
mike@mike-thinks:~/Programming/WikiQueri/DrQA$ cat /proc/meminfo
MemTotal: 8078272 kB
MemFree: 291604 kB
MemAvailable: 2326220 kB
Buffers: 262392 kB
Cached: 2212332 kB
SwapCached: 0 kB
Active: 3691168 kB
Inactive: 1485432 kB
Active(anon): 2727772 kB
Inactive(anon): 274408 kB
Active(file): 963396 kB
Inactive(file): 1211024 kB
Unevictable: 2238236 kB
Mlocked: 2238252 kB
SwapTotal: 0 kB
SwapFree: 0 kB
Dirty: 104 kB
Writeback: 0 kB
AnonPages: 4940072 kB
Mapped: 508460 kB
Shmem: 275728 kB
Slab: 243928 kB
SReclaimable: 158948 kB
SUnreclaim: 84980 kB
KernelStack: 13024 kB
PageTables: 49456 kB
NFS_Unstable: 0 kB
Bounce: 0 kB
WritebackTmp: 0 kB
CommitLimit: 4039136 kB
Committed_AS: 11909484 kB
VmallocTotal: 34359738367 kB
VmallocUsed: 0 kB
VmallocChunk: 0 kB
HardwareCorrupted: 0 kB
AnonHugePages: 2048 kB
ShmemHugePages: 0 kB
ShmemPmdMapped: 0 kB
CmaTotal: 0 kB
CmaFree: 0 kB
HugePages_Total: 0
HugePages_Free: 0
HugePages_Rsvd: 0
HugePages_Surp: 0
Hugepagesize: 2048 kB
DirectMap4k: 161648 kB
DirectMap2M: 7088128 kB
DirectMap1G: 2097152 kB
我需要大约 16 GB 的 RAM，我不知道如何读取这些表格。你知道我是否可以做到吗？