forked from ccf-ai-infra/GPUCodeForces
22 lines
521 B
Python
22 lines
521 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, num_features=64, init=0.25):
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super().__init__()
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self.act = nn.PReLU(num_parameters=num_features, init=init)
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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return self.act(x)
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batch_size = 128
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num_features = 64
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height = 64
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width = 64
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def get_inputs():
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x = torch.randn(batch_size, num_features, height, width, dtype=torch.float32)
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return [x]
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def get_init_inputs():
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return [num_features, 0.25] |