forked from ccf-ai-infra/GPUCodeForces
24 lines
432 B
Python
24 lines
432 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, eps=1e-6):
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super().__init__()
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self.eps = eps
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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return x / torch.sqrt(x.abs() + self.eps)
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batch_size = 128
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feature_dim = 512
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def get_inputs():
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x = torch.randn(batch_size, feature_dim, dtype=torch.float32)
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return [x]
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def get_init_inputs():
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return [1e-6] |