# 其中fan_in是指第i层神经元的个数,fan_out是指第i + 1层神经元的个数forminnet.modules():ifisinstance(m,(torch.nn.Linear,torch.nn.Conv1d,torch.nn.Conv2d)):torch.nn.init.xavier_uniform_(m.weight)forminnet.modules():ifisinstance(m,torch.nn.Conv2d):torch.nn.init.xavier_uniform_(m.w...
importtorchimporttorch.nnasnn# 定义一个5层的神经网络classMyNetwork(nn.Module):def__init__(self):super(MyNetwork,self).__init__()self.fc1=nn.Linear(100,80)# 隐藏层1self.fc2=nn.Linear(80,60)# 隐藏层2self.fc3=nn.Linear(60,40)# 隐藏层3self.fc4=nn.Linear(40,10)# 输出层# 使用...
out_features): # 必须初始化构造函数 super(Linear, self).__init__() # 等价于nn.Module.__init__(self) self.w = nn.Parameter(t.randn(in_features, out_features)) # 自封装学习参数 self.b = nn.Parameter(t.randn(out_features)) def forward(self, x): x = (self.w) return x + sel...
convert:用于在将非量化op转换成量化op,比如将nn.Conv2d转换成nnq.Conv2d, 同时会根据Observer所观测的信息进行nnq.Conv2d中的量化参数的统计,包含scale、zero_point、qweight等; save:用于保存量化好的模型参数. Init 模型的创建与预训练模型,这个比较简单了,直接上code(注:PTSQ模式下模型应当是eval模式)。 代...
__init__() self.fc1 = nn.Linear(10, 5) self.fc2 = nn.Linear(5, 1) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.fc2(x) return x # 加载数据集 train_data = torch.randn(1000, 10) # 假设有1000个样本,每个样本有10个特征 train_labels = torch.randn(1000, ...
torch.nn.init.constant_(tensor, val) tensor——一个n维的torch.Tensor val – 用来填充张量的值 1.4 一值初始化(ones_) 用1来填充tensor torch.nn.init.ones_(tensor) 1.5 零值初始化(zeros_) 用0来填充tensor torch.nn.init.zeros_(tensor) ...
1class Node:2 def __init__(self, parent=None, proba=None, move=None):3 self.p = proba4 self.n = 05 self.w = 06 self.q = 07 self.children = []8 self.parent = parent9 self.move = move 部署 (Rollout)第一步是PUCT (多项式上置信树) 算法，选择能让...
这个Class里面主要写两个函数,一个是初始化的__init__函数,另一个是forward函数。我们随便搭一个,如下: def __init__(self):super().__init__()self.conv1=nn.Conv2d(1,6,5)self.conv2=nn.Conv2d(6,16,5)def forward(self, x):x=F.max_pool2d...
def __init__(self): """ In the constructor we instantiate nn.Linear module """ super(Model, self).__init__() self.linear = torch.nn.Linear(1, 1) # One in and one out def forward(self, x): """ In the forward function we accept a Variable of input data and we must return...
在类内部,我们有__init__函数和forward函数。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 classLogistic_Reg_model(torch.nn.Module):def__init__(self,no_input_features):super(Logistic_Reg_model,self).__init__()self.layer1=torch.nn.Linear(no_input_features,20)self.layer2=torch.nn.Lin...