is_train=True when testing?

[LucyLu-LX]

https://github.com/liuziwei7/voxel-flow/blob/e796773c4a93ab5b8bf9671f0dd11b6ecfc12007/voxel_flow_train.py#L189

I am wondering why is_train=True when testing model. I compared the results between when is_train=True and when is_train=False. Oddly, is_train=True produces the correct result when testing.

[liuziwei7]

It is used to accommodate for the legacy batch norm bug (i.e. running mean and variance) in the early TensorFlow version. But the network parameters are not updated during the process.

[Dee-Ma]

voxel-flow/voxel_flow_train.py

Line 189 in e796773

model = Voxel_flow_model(is_train=True) I am wondering why is_train=True when testing model. I compared the results between when is_train=True and when is_train=False. Oddly, is_train=True produces the correct result when testing.

Hi,

I am also using the Pytorch code to reproduce the DVF. I just got some questions and wish your kind help.

1. How do you get the 'convert_bn' and 'SyncBarchNorm2d' that are used in 'voxel_flow.py'? Since I could not find them in 'core/ops/sync_bn' folder.

2. What is your running environment for this code? As I just got 'torch.cuda.is_available()=False' even the appropriate CUDA and Pytorch were installed.....

Any help would be appreciated.

[Dee-Ma]

@LucyLu-LX

Hi,

I am also using the Pytorch code to reproduce the DVF. I just got some questions and wish your kind help.

How do you get the 'convert_bn' and 'SyncBarchNorm2d' that are used in 'voxel_flow.py'? Since I could not find them in 'core/ops/sync_bn' folder.

What is your running environment for this code? As I just got 'torch.cuda.is_available()=False' even the appropriate CUDA and Pytorch were installed.....

Any help would be appreciated.