总之,当遇到“expected type 'int', got 'float' instead”这类错误时,首先需要仔细检查引发错误的代码部分,确定是哪个变量或运算结果导致了类型不匹配。然后,根据具体情况选择适当的解决方案,如类型转换、调整变量类型或处理运算结果等。
File"E:\Python\lib\site-packages\PIL\Image.py", line 2192,inresizereturnself._new(self.im.resize(size, resample, box)) TypeError: integer argument expected, got float 意思就是得到的是float数据,不是整数。这里需要获取整数。所以需要更改一下:正确代码如下: fromPILimportImage image=Image.open('....
make_tensor_proto _AssertCompatible(values, dtype) C:\Users\saivi\anaconda3\envs\mention\lib\site-packages\tensorflow\python\framework\tensor_util.py:331 _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).__name__)) TypeError: Expected int32, got 1e-07 of type 'float' instead....
from_pretrained('tensorflow-model') I can see that the model.dtype and model.variable_dtype is float32. Can anyone help why google cloud thinks this model expects a float32 input and not int32. Can I change anything in model to ensure that correct input dtype? Thanks Member LysandreJik c...
sign=None, floatmode=None,*,legacy=None) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 也就是默认将数值精度都设置为了无限大(为float64类型),所以在iloc进行索引的时候,就出现了需要整型而输入为float的类型错误了. P.S. 自己还是太菜…还得多学习....
在用函数raw = mne.io.read_raw_edf(f, verbose=False) 读取一个EEG(心音)数据集的时候,碰到错误:TypeError: expected dtype object, got 'numpy.dtype[float64]'。 然后,使用函数 paddle.set_default_dtype("float64") 将默认数据类型置为float64,但问题还是没有解决 各位同行,请问这个问题该如何解决? 0 ...
RuntimeError: Expected object of scalar type Double but got scalar type Float for argument #3 ‘mat2’ in call to _th_addmm_out 1. 说明 在训练网络的过程中由于类型的冲突导致这种错误,主要是模型内部参数和输入类型不一致所导致的。主要有两个部分需要注意到:1.自己定义的变量要设置为一种数据类型;...
Error: rendererrorin"test_proj/templates/service.yaml": template: est_proj/templates/test.yaml:1:31: executing"est_proj/templates/service.yaml"at <.Values.replicaCount>: wrongtypeforvalue; expectedint; gotfloat64 通过tuple实现任意内容的迭代 ...
A step-by-step guide on how to solve the PyTorch RuntimeError: Expected scalar type Float but found Double error.
I am trying to use the NUTS sampling example from the Modeling with JointDistribution example notebook to sample from my own model. Recall that the key function that contains the sampler logic is as follows: @tf.function(autograph=False,...