@woojinnn Hi, I was wondering if you implemented nn.upsample in the graph_pack
process. At present, I am trying to implement Unet through VTA, but I met some
problems in the graph_pack process. I suspect the reason is nn.upsample or
torch.cat. A full description can be found in another post I
@yzhliu @aca88 @makihiro Hi, I was wondering if you implemented nn.upsample in
the graph_pack process. At present, I am trying to implement Unet through VTA,
but I met some problems in the graph_pack process. I suspect the reason is
nn.upsample or torch.cat. A full description can be found in
I was recently trying to deploy the network on an FPGA using VTA, but I ran
into this problem when deploying mobilenetV2. When executing nn.conv2d, I set
groups to the following format:
```
groups = int(in_planes/16)
return nn.Conv2d(in_planes, out_planes, kernel_size=3, groups=groups
,str
@thierry @zhanghaohit @varinic @mrb256 @joyliu37
Hello everyone, I have been trying to implement the network on FPGA through VTA
and mobilenetV2, where I set nn. Conv2d as the following format:
```
groups = int(in_planes/16)
return nn.Conv2d(in_planes, out_planes, kernel_size=3, groups=gr
