在自定义神经网络中,使用sigmoid函数时,报数据溢出overflow错误。 defsigmoid(self, x):return1.0/ (1+ np.exp(-x)) RuntimeWarning: overflow encountered in exp 根据测试(测试代码如下),是因为指数出现极大的数据,导致np.exp运算溢出 defsigmoid(self, x):print(x.min())return1.0/ (1+ np.exp(-x)) ...
so all CI runs in this repo could not catch this test error. However, I am unable to locate where the pinning is done. It could be possible that it comes from the RAPIDS CI setup, since lots of CI infra here seem to come from RAPIDS. ...
opinion on. In practice, the slowdown should not be noticable in the vast majorityof cases and serious slowdowns will only happen in some extreme cases (errors require silencing on very small chunked/unbuffered inputs, which probably means the use of where= which is super rare in itself). ...
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Return the (builtin) typenumber for the elements of this array. intPyArray_SETITEM(PyArrayObjectarr, voiditemptr,PyObjectobj* ) Convert obj and place it in the ndarray,arr, at the place pointed to by itemptr. Return -1 if an error occurs or 0 on success. ...