import torch.nn as nn loss_function = nn.CrossEntropyLoss() 然后在你的代码中,应该使用 loss_function 而不是 crossentropyloss 来调用损失函数。 确保使用上下文正确: 如果crossentropyloss 是从某个库中导入的,确保你已经正确实例化了它(如果它是一个类的话),或者它已经被定义为一个可以直接调用的函数或...
in _run self.calculate_file_entropy(fp) File "/usr/local/lib/python3.9/dist-packages/binwalk-2.2.1-py3.9.egg/binwalk/modules/entropy.py", line 199, in calculate_file_entropy entropy = self.algorithm(data[i:i + block_size]) File "/usr/local/lib/python3.9/dist-packages/binwalk-2.2.1-...
Description + Sunshine will use this factor to calculate the minimum time between frames. Increasing this value may help + when streaming mostly static content. + @warning{Higher values will consume more bandwidth.} + Default @code{} + 1 + @endcode Range 1-3 Example @code{} + min_fps...
scenariolist->AddItem("#SERVER_RANDOM_SCENARIO",newKeyValues(RANDOM_VALUE) );constchar*pFilename = filesystem->FindFirstEx( PYDIR,"MOD", &findHandle );while( pFilename ) {// Add the scenario to the list if not __init__if( !Q_stristr( pFilename,"__init__") ) { Q_FileBase( pFi...
This is Softmax function. Then we calculate cross-entropy, quote from Stanford CS231n:The cross-entropy between a “true” distribution p and an estimated distribution q is defined as:H(p,q)=−∑xp(x)log q(x)H(p,q)=−∑xp(x)log q(x)...
This isSoftmaxfunction. Then we calculate cross-entropy, quote from Stanford CS231n: The cross-entropy between a “true” distributionpand an estimated distributionqis defined as: The Softmax classifier is hence minimizing the cross-entropy between the estimated class probabilities (q(si) = ...