wangwei created SINGA-35:
----------------------------
Summary: Add random number generators
Key: SINGA-35
URL: https://issues.apache.org/jira/browse/SINGA-35
Project: Singa
Issue Type: Bug
Reporter: wangwei
In SINGA-6, we added thread specific Singleton which is used to get a
Mshadow::Random object for each thread. Hence the random number generation is
thead-safe if using Mshadow::Random and TSingleton.
But for other places, we are still using rand() without seeding it. One problem
is that two process would have the same random numbers if using rand(). One
case is the AllReduce training. If we processes (each has one worker) are
launched, then they would randomly skip the the number of training records
because the ShardDataLayer uses rand() to get the skip number. In other words,
the two workers' training are exactly the same. There is not difference
(training time and accuracy) compared with non-distributed training.
A thread specific or global random number generator should be well initialized
to avoid the above case. The thread specific generator can be passed to Mshadow
for random distribution generation.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
