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PyTorch implementation of X3D models with Multigrid training.

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Hi,appreciate your beautiful work! @kkahatapitiya Could you tell me how you implement performance validation 71.48% Top-1 accuracy (3-view) on Kinetics-400?Have you opensource your video-level accuracy test code? I test the...

Thanks for your clean implementation! @kkahatapitiya I have two problem to consult you: 1. I find out the prediction in eval mode always same when I finish training x3d on...

Add these codes to the file ``` if __name__=='__main__': net = generate_model('S',).cuda() #print(net) from torchsummary import summary inputs = torch.rand(8, 3, 10, 112, 112).cuda() output = net(inputs) print(output.shape) summary(net,input_size=(3,10,112,112),batch_size=8,device='cuda') ```...

Hi, When I run train_x3d_charades.py, I get the following error: ``` raise ValueError("num_samples should be a positive integer " ValueError: num_samples should be a positive integer value, but got num_samples=0...

Is it possible to train it from scratch? Eventually which is the dataset format I have to provide?