出现NameError: name 'crossentropyloss' is not defined 这个错误,通常意味着在你的代码中尝试使用了一个未被定义的变量 crossentropyloss。基于你提供的提示,这里有几个可能的解决步骤: 检查是否导入了相关模块: 如果你在使用 PyTorch 框架,并且想要使用交叉熵损失函数,你需要确保已经从 torch.nn 模块中导入了 Cro...
() File "/usr/local/lib/python3.9/dist-packages/binwalk-2.2.1-py3.9.egg/binwalk/modules/entropy.py", line 136, in run self._run() File "/usr/local/lib/python3.9/dist-packages/binwalk-2.2.1-py3.9.egg/binwalk/modules/entropy.py", line 158, in _run self.calculate_file_entropy(fp) ...
尝试导入FastAI vision时出现"NameError:未定义名称'CrossEntropyLossFlat‘“ NameError:使用Jupyter Lab时未定义名称“Series” NameError:使用google colab时未定义名称“transforms” 文件:未定义名称‘NameError’。使用tkinter线程时 当我尝试在方法中使用递归时,出现"NameError:名称'insert‘未定义...
Description + Prefer CAVLC entropy coding over CABAC in H.264 when using NVENC. + CAVLC is outdated and needs around 10% more bitrate for same quality, but provides slightly faster + decoding when using software decoder. + @note{This option only applies when using H.264 format with the +...
开发者ID:Entropy-Soldier,项目名称:ges-legacy-code,代码行数:29,代码来源:ai_speech.cpp 示例4: ▲点赞 1▼ charconst*CMapEntities::GetName(intnumber ) {if( number <0|| number >= (int)m_Entities.Count() )returnNULL;returnm_Entities.GetElementName( number ); ...
run( [disc_cost, disc_train_op], feed_dict={real_data: _data} ) if clip_disc_weights is not None: _ = session.run(clip_disc_weights) lib.plot.plot('train disc cost', _disc_cost) lib.plot.plot('time', time.time() - start_time) # Calculate dev loss and generate samples ...
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) = ...
The weights are use entropy weight method to determine the weight of contaminated metals. (2) Single-factor fuzzy evaluation, Single-factor fuzzy evaluation is defined as ensuring the membership between the evaluation object and the assessment criteria set Vj based on the ith factor ui. The ...
Simbert uses a special mask mechanism to make the model also have the ability to generate text. Therefore, two loss functions are used to optimize the model at the same time, namely the cross-entropy loss of seq2seq and the full abbreviation of cross-entropy loss. Finally, the two losses...
The second score, called the H statistic, is a common measure of entropy or disorder, and was calculated by including all responses (including the above three categories of naming failures). The H statistic is useful in that, unlike the name agreement percentage score, it captures information ...