TypeError: unsupported operand type(s) for *: 'Embedding' and 'Embedding'
时间: 2024-01-29 15:02:16 浏览: 45
This error occurs when attempting to multiply two embedding layers in a neural network. Embedding layers are used to convert categorical data into a continuous representation. However, these layers cannot be multiplied together as they are not numerical values.
To fix this error, you need to check your neural network architecture and ensure that you are not attempting to multiply two embedding layers. Instead, consider concatenating them or using other appropriate operations for your specific task.
相关问题
TypeError: unsupported operand type(s) for *: 'Tensor' and 'collections.defaultdict'
引用\[1\]:TypeError: unsupported operand type(s) for -: ‘int’ and ‘list’ 解决方法 使用np.array进行type转换 import numpy as np y_true = \[\[0.\], \[1.\]\] 1-np.array(y_true) 以上就是全部内容。引用\[2\]:Error Discreptions: --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-57-76c361767a88> in <module> ----> 1 p0V,p1V,pAb=bayes.trainNB0(trainMat,listClasses) D:\maxwelllearning\maxwellhandon\machine learning in action\bayes.py in trainNB0(trainMatrix, trainCategory) 38 p1Denom += sum(trainMatrix\[i\]) #Vector addition 39 else: ---> 40 p0Num += trainMatrix\[i\] 41 p0Denom += sum(trainMatrix\[i\]) 42 p1Vect = log(p1Num/p1Denom) # change to log() TypeError: unsupported operand type(s) for +=: 'float' and 'list' 。引用\[3\]:Modified Code: def trainNB0(trainMatrix,trainCategory): numTrainDocs = len(trainMatrix) numWords = len(trainMatrix\[0\]) pAbusive = sum(trainCategory)/float(numTrainDocs) p0Num = ones(numWords);p1Num = ones(numWords) #Initialize probabilities p0Denom = 2.0 ; p1Denom = 2.0 for i in range(numTrainDocs): if trainCategory\[i\] == 1: p1Num += trainMatrix\[i\] p1Denom += sum(trainMatrix\[i\]) #Vector addition else: p0Num += trainMatrix\[i\] p0Denom += sum(trainMatrix\[i\]) p1Vect = log(p1Num/p1Denom) # change to log() p0Vect = log(p0Num/p0Denom) # change to log() return p0Vect,p1Vect,pAbusive # Element-wise division。问题:TypeError: unsupported operand type(s) for *: 'Tensor' and 'collections.defaultdict'
回答: 这个错误是由于在代码中使用了不兼容的操作数类型导致的。具体来说,TypeError: unsupported operand type(s) for *: 'Tensor' and 'collections.defaultdict'错误表明在代码中使用了Tensor和collections.defaultdict之间不支持的乘法操作。要解决这个问题,你需要检查代码中的乘法操作,并确保操作数的类型是兼容的。你可能需要对其中一个操作数进行类型转换,以使其与另一个操作数兼容。
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TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'
This error occurs when you try to multiply a variable of type 'NoneType' with an integer.
For example:
```
x = None
y = 5
z = x * y
```
In this case, the variable 'x' is of type 'NoneType' and cannot be multiplied with 'y' which is an integer. Hence, the error message "TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'" is raised.
To fix this error, make sure that the variable you are trying to multiply is not None or assign it a value of the appropriate type before performing any arithmetic operations on it.