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我正在使用一个开源项目的乐趣，但没有越过它的BH-TSNE通过多处理池的利用。多处理池作业输出
Github的资料来源：
https://github.com/kylemcdonald/AudioNotebooks/blob/master/Fingerprints%20to%20t-SNE.ipynb
特定的错误：
data = data.astype(np.float64)
def job(params):
start = time()
tsne(data, data_root, mode, initial_dims=params[0], perplexity=params[1])
print 'initial_dims={}, perplexity={}, {} seconds'.format(params[0], params[1], time() - start)
params = list(itertools.product(initial_dims, perplexities))
pool = Pool()
pool.map(job, params)
utils/bhtsne.py:129: ComplexWarning: Casting complex values to real discards the imaginary part
for sample in samples:
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-22-0350579d447b> in <module>()
7 params = list(itertools.product(initial_dims, perplexities))
8 pool = Pool()
----> 9 pool.map(job, params)
/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/pool.pyc in map(self, func, iterable, chunksize)
249 '''
250 assert self._state == RUN
--> 251 return self.map_async(func, iterable, chunksize).get()
252
253 def imap(self, func, iterable, chunksize=1):
/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/pool.pyc in get(self, timeout)
565 return self._value
566 else:
--> 567 raise self._value
568
569 def _set(self, i, obj):
AssertionError: ERROR: Call to bh_tsne exited with a non-zero return code exit status, please refer to the bh_tsne output for further details
我有bh_tsne包装，二进制太..
包装来源：https://github.com/lvdmaaten/bhtsne
但不清楚我如何看待子流程输出。
看着一些谷歌搜索，在包装上，以默认打开详细模式..但没有输出似乎出现无论是在DIR或Jupyter笔记本