门控卷积 pytorch代码
时间: 2023-11-16 19:05:27 浏览: 39
以下是门控卷积的PyTorch代码实现:
```
import torch
from torch import nn
class GateConv2D(nn.Module):
def __init__(self, kernel_size):
super(GateConv2D, self).__init__()
self.weight = nn.Parameter(torch.randn(kernel_size))
self.bias = nn.Parameter(torch.randn(1))
self.sigmoid = nn.Sigmoid()
def forward(self, x):
gate = self.sigmoid(corr2d(x, self.weight) + self.bias)
return gate * x
def corr2d(X, K):
h, w = K.shape
Y = torch.zeros((X.shape[0] - h + 1, X.shape[1] - w + 1))
for i in range(Y.shape[0]):
for j in range(Y.shape[1]):
Y[i, j] = (X[i: i + h, j: j + w] * K).sum()
return Y
gate_conv2d = GateConv2D(kernel_size=(2,2))
print(gate_conv2d.weight.data)
print(gate_conv2d.bias.data)
x = torch.ones(6,6)
y = gate_conv2d(x)
print(y.shape)
```