forked from ccf-ai-infra/GPUCodeForces
23 lines
555 B
Python
23 lines
555 B
Python
import torch
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import torch.nn as nn
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class Model(nn.Module):
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def __init__(self, in_features):
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super().__init__()
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# 使用固定的随机种子确保可复现性
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torch.manual_seed(42)
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self.linear = nn.Linear(in_features, in_features)
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def forward(self, x):
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x = self.linear(x)
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return x * torch.tanh(torch.nn.functional.softplus(x))
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def get_inputs():
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batch_size = 4096
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in_features = 1024
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x = torch.randn(batch_size, in_features)
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return [x]
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def get_init_inputs():
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return [1024]
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