forked from ccf-ai-infra/GPUCodeForces
26 lines
483 B
Python
26 lines
483 B
Python
import torch
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import torch.nn as nn
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import torch.nn.functional as F
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class Model(nn.Module):
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def __init__(self):
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super().__init__()
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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value, gate = x.chunk(2, dim=-1)
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return value * F.gelu(gate, approximate="tanh")
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batch_size = 2048
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feature_dim = 4096
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def get_inputs():
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x = torch.randn(batch_size, feature_dim, dtype=torch.float32) * 3.0
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return [x]
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def get_init_inputs():
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return []
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