forked from ccf-ai-infra/GPUCodeForces
27 lines
537 B
Python
27 lines
537 B
Python
# swiglu_torch.py
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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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"""
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SwiGLU(x) = SiLU(gate) * act
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"""
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gate, act = x.chunk(2, dim=-1)
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return F.silu(gate) * act
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batch_size = 4096
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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)
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return [x]
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def get_init_inputs():
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return [] |