Re: [apache/incubator-tvm] [RFC] 3D model support (#4009)

2020-02-09 Thread optima2005
@masahi Sorry, I have been busy at some other things recently. I'd like to be back if I could have more free time again. Thanks! -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-tvm/issues

Re: [apache/incubator-tvm] [RFC] Asymmetric padding for convolution (#2682)

2019-12-10 Thread optima2005
@FrozenGene, I'd like to try to implement this. I am thinking if I could follow @Huyuwei proposal by doing this with backward compatible way. The padding would accept 1 value, or 2 values, or 4 values ( 3 and 6 for coming 3d ops). For 1 and 2 case, the existing logic would be kept, which woul

Re: [apache/incubator-tvm] [RFC] 3D model support (#4009)

2019-12-05 Thread optima2005
@masahi This should be the correct approach. How about we will try to implement new functions with the unified manner but only being used by 3D. And keep the existing 2D ones untouched. Then we could transform them to be unified easily when we could have enough experience and data in the future

Re: [apache/incubator-tvm] [RFC] 3D model support (#4009)

2019-12-04 Thread optima2005
@masahi, for other ops, pad can support any dimentions. I am looking at pooling, it seems there would be some works, current pooling [implementation ](https://github.com/apache/incubator-tvm/blob/ba9d96bcb585557d4d3dbee40112367b08b28084/topi/include/topi/nn/pooling.h#L61)only supports 2D. I am