在Pytorch中创建具有固定权重的线性模型

import torch
import torch.nn as nn

class FixedWeightLinearModel(nn.Module):
    def __init__(self, input_size, output_size, fixed_weights):
        super(FixedWeightLinearModel, self).__init__()
        self.linear = nn.Linear(input_size, output_size)
        self.linear.weight.data = fixed_weights

    def forward(self, x):
        return self.linear(x)

input_size = 10
output_size = 1
fixed_weights = torch.tensor([[0.5, 0.3, -0.2, 0.1, 0.7, -0.5, 0.4, -0.3, 0.2, -0.1]])
model = FixedWeightLinearModel(input_size, output_size, fixed_weights)

input_data = torch.randn(1, input_size)
output = model(input_data)
print(output)