setvae
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[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
`Unexpected key(s) in state_dict: "encoder.0.att1.ln_x.weight", "encoder.0.att1.ln_x.bias", "encoder.0.att1.ln_y.weight", "encoder.0.att1.ln_y.bias", "encoder.0.att1.ln_o1.weight", "encoder.0.att1.ln_o1.bias", "encoder.0.att1.ln_o2.weight", "encoder.0.att1.ln_o2.bias", "encoder.0.att2.ln_x.weight", "encoder.0.att2.ln_x.bias", "encoder.0.att2.ln_y.weight", "encoder.0.att2.ln_y.bias", "encoder.0.att2.ln_o1.weight", "encoder.0.att2.ln_o1.bias", "encoder.0.att2.ln_o2.weight", "encoder.0.att2.ln_o2.bias", "encoder.1.att1.ln_x.weight", "encoder.1.att1.ln_x.bias", "encoder.1.att1.ln_y.weight", "encoder.1.att1.ln_y.bias", "encoder.1.att1.ln_o1.weight", "encoder.1.att1.ln_o1.bias", "encoder.1.att1.ln_o2.weight", "encoder.1.att1.ln_o2.bias", "encoder.1.att2.ln_x.weight", "encoder.1.att2.ln_x.bias",...
`AttributeError: 'SetVAE' object has no attribute 'optimizer'`
Hi there, Thank you for providing the codes. I got this exception when running `shapenet_airplane_test.sh` in the docker image: ``` RuntimeError: CUDA kernel failed : 209 ``` Any help would...
Hi, Thanks for the awesome work. I'm trying to run the code, via non-docker method (because I only have non-sudo access to my server), and I encounter this error when...
tdn = self.top_down((~x_mask).sum(-1), list(reversed(bup['features'])))
can you please introduce how do you conduct the exp of generation of a scene layout?