typeerror: no loop matching the specified signature and casting was found for ufunc add
时间: 2023-04-21 22:06:43 浏览: 141
这个错误是由于numpy中的ufunc函数add没有找到匹配的循环和类型转换引起的。可能是因为输入的参数类型不匹配或者维度不一致导致的。建议检查输入参数的类型和维度是否正确,并尝试使用其他的ufunc函数或者手动实现相应的操作。
相关问题
TypeError: No loop matching the specified signature and casting was found for ufunc greater
这个错误通常是由于版本不兼容或参数类型不匹配引起的。根据引用的错误信息,报错的具体位置是在运行train.py程序时出现了TypeError: No loop matching the specified signature and casting was found for ufunc greater的错误。根据引用提供的临时解决方法,可以尝试去掉np.greater的dtype参数,即将代码中的np.greater(counts, 0)改为np.greater(counts, 0, dtype=bool)来解决该问题。另外,根据引用提供的代码案例,可以参考使用np.greater函数的正确用法来检查参数类型是否正确。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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TypeError: You cannot set both the how and thresh arguments at the same time.
This error occurs when using the `scipy.signal.find_peaks` function and trying to set both the `height` (or `threshold`) and `distance` (or `width`) parameters at the same time. These parameters are used to identify peaks in a signal based on their height and/or distance from each other.
To fix this error, you need to choose one of the two parameters to use for peak detection, and remove the other one from the function call. For example, if you want to detect peaks based on their height, you can set the `height` parameter and remove the `distance` parameter:
```
peaks, _ = find_peaks(signal, height=0.5)
```
Alternatively, if you want to detect peaks based on their distance from each other, you can set the `distance` parameter and remove the `height` parameter:
```
peaks, _ = find_peaks(signal, distance=10)
```
By choosing one parameter to use, you can avoid the conflict between `how` and `thresh` and correctly identify the peaks in your signal.