defEntropy(input_):bs=input_.size(0)epsilon=1e-5entropy=-input_*torch.log(input_+epsilon)entropy=torch.sum(entropy,dim=1)returnentropy 训练过程: fromtorch.utils.tensorboardimportSummaryWriterfromrich.progressimportProgress,TextColumn,BarColumn,TimeRemainingColumn,TimeElapsedColumnfromdatetimeimportdatetime...
形状为 input_dim x output_dimW_A=nn.Parameter(torch.empty(input_dim,rank))# LoRA权重AW_B=nn.Parameter(torch.empty(rank,output_dim))# LoRA权重B# 初始化LoRA权重nn.init.kaiming_uniform_(W_A,a=math.sqrt(5))nn.init.zeros_(W_B)defregular...
from sklearn.model_selection import train_test_split def mmd(X_source, y_source, X_target): # 计算源领域和目标领域的均值向量 mean_source = np.mean(X_source, axis=0) mean_target = np.mean(X_target, axis=0) # 计算源领域和目标领域的协方差矩阵 cov_source = np.cov(X_source.T) cov...
冻结底层 import paddle import paddle.nn.functional as F from paddlenlp.transformers import GPTForPretraining, GPTChineseTokenizer # 加载预训练模型和分词器 model = GPTForPretraining.from_pretrained('gpt-cpm-large-cn') tokenizer = GPTChineseTokenizer.from_pretrained('gpt-cpm-large-cn') # 构造数据...
class ULDA: def __init__(self, model, language_encoder, hca, dcrl, tdr): self.model = model self.language_encoder = language_encoder self.hca = hca self.dcrl = dcrl self.tdr = tdr def adapt(self, source_data, target_descriptions): # 使用语言编码器将目标领域描述编码为向量 target_...
def processManifestTask = project.tasks.getByName("processDefaultNewSignPadReleaseManifest"); if (processManifestTask != null) { processManifestTask.doLast { pmt -> def manifestPath = pmt.getMultiApkManifestOutputDirectory().get().toString() + "/AndroidManifest.xml" ...
def lora_forward_matmul(x, W, W_A, W_B): h = x @ W# 常规矩阵乘法 h += x @ (W_A @ W_B) * alpha# 使用缩放的LoRA权重 returnh 2.2 Transformer中的LoRA 理论上LoRA的思想可以应用到任何权值矩阵上,例如在Transformer的自注意机制中我们就有四个权值矩阵,,,另外在Transformer的全连接中也有...
Define coadaptation. coadaptation synonyms, coadaptation pronunciation, coadaptation translation, English dictionary definition of coadaptation. adj. 1. Of or relating to characteristics of two or more species that have evolved through mutually beneficia
# 定义损失函数defloss_function(W, A, B):'''W:目标矩阵A:矩阵分解中的一个矩阵,通常是随机初始化的。B:矩阵分解中的另一个矩阵,通常是零矩阵初始化的。'''# 矩阵相乘,@是Python中的矩阵乘法运算符,相当于np.matmul(A, B)。W_approx = A @ B# 损失函数越小,表示 A 和 B 的乘积 W_approx越接...
def lora_forward_matmul(x, W, W_A, W_B): h = x * W # 常规矩阵乘法 h += x * W_A * W_B * alpha # 使用缩放的LoRA权重 return h 2.2Transformer中的LoRA 理论上LoRA的思想可以应用到任何权值矩阵上,例如在Transformer的自注意机制中我们就有四个权值矩阵W_q,W_k,W_v,W_o。另外在Transf...