wehub-resource-sync
36 lines
789 B
Python
36 lines
789 B
Python
import torch
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def shuffle_walks(walks):
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seeds = torch.randperm(walks.size()[0])
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return walks[seeds]
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def sum_up_params(model):
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"""Count the model parameters"""
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n = []
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n.append(model.u_embeddings.weight.cpu().data.numel() * 2)
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n.append(model.lookup_table.cpu().numel())
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n.append(model.index_emb_posu.cpu().numel() * 2)
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n.append(model.grad_u.cpu().numel() * 2)
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try:
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n.append(model.index_emb_negu.cpu().numel() * 2)
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except:
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pass
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try:
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n.append(model.state_sum_u.cpu().numel() * 2)
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except:
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pass
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try:
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n.append(model.grad_avg.cpu().numel())
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except:
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pass
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try:
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n.append(model.context_weight.cpu().numel())
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except:
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pass
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print("#params " + str(sum(n)))
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exit()
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