[GitHub] [incubator-mxnet] marcoabreu commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0)

2020-07-26 Thread GitBox


marcoabreu commented on issue #9686:
URL: 
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-664051201


   Are there any plans to move the training logic (dataset handling, 
distributed training, etc) into the core to avoid having all that logic in the 
frontend languages?



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[GitHub] [incubator-mxnet] marcoabreu commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0)

2019-07-18 Thread GitBox
marcoabreu commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs 
that might be a good idea to break in 2.0)
URL: 
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-513004229
 
 
   Could we get rid of all the different pre-processor statements in the 
codebase that evolved due to the different accelerators (USE_CUDA, USE_TVM, 
USE_MKLDNN, etc) and fully replace them with the accelerator API from 
@samskalicky ? This would heavily improve the maintainability.
   
   In terms of operator definitions, we could use ONNX as standard (or derive 
from it if it's not sufficient). At the moment, there's a tight coupling 
between the operator definitions and the accelerator choice.


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0)

2019-07-18 Thread GitBox
marcoabreu commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs 
that might be a good idea to break in 2.0)
URL: 
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-513002803
 
 
   Agree, the entire API (at the C-API level) should be designed to be entirely 
threadsafe for all requests - whether it's inference or training. This includes 
parallel calls from different threads - speak no locking or sticky threads. 


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