Remove pdb
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@ -51,8 +51,6 @@ class MiddleOut(nn.Module):
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new_latents = []
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new_latents = []
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for p in range(peer_latents.shape[-2]):
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for p in range(peer_latents.shape[-2]):
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peer_latent, correlation = peer_latents[:, p, :], peer_correlations[:, p]
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peer_latent, correlation = peer_latents[:, p, :], peer_correlations[:, p]
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import pdb
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pdb.set_trace()
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combined_input = torch.cat((my_latent, peer_latent, correlation.unsqueeze(1)), dim=-1)
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combined_input = torch.cat((my_latent, peer_latent, correlation.unsqueeze(1)), dim=-1)
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new_latent = self.fc(combined_input)
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new_latent = self.fc(combined_input)
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new_latents.append(new_latent * correlation.unsqueeze(1))
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new_latents.append(new_latent * correlation.unsqueeze(1))
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