cupy错误：不允许通过_数组_)隐式转换到主机numpy数组，

w46czmvw 于 2021-09-29 发布在 Java

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在将数组转换为CUPY数组时获取此错误：Type Error：不允许通过数组隐式转换为主机NoPy数组，以显式构造GPU数组，考虑使用CuPy .asLoad（…）显式构造一个主机数组，考虑使用TosiRayay.（）

'''
      import cudf
      import cuml
      import cupy

      hospital_data=cudf.read_csv('nin-health-facilities.csv')
      cupy_lat = cupy.asarray(hospital_data['latitude'])
      cupy_long =cupy.asarray(hospital_data['longitude'])
    '''

错误：

TypeError                                 Traceback (most recent call last)
<ipython-input-33-999a5fd5e344> in <module>()
      4 
      5 hospital_data=cudf.read_csv('nin-health-facilities.csv')
----> 6 cupy_lat = cupy.asarray(hospital_data['latitude'])
      7 cupy_long =cupy.asarray(hospital_data['longitude'])

1 frames
cupy/_core/core.pyx in cupy._core.core.array()

cupy/_core/core.pyx in cupy._core.core.array()

cupy/_core/core.pyx in cupy._core.core._send_object_to_gpu()

/usr/local/lib/python3.7/site-packages/cudf/core/frame.py in __array__(self, dtype)
   1649     def __array__(self, dtype=None):
   1650         raise TypeError(
-> 1651             "Implicit conversion to a host NumPy array via __array__ is not "
   1652             "allowed, To explicitly construct a GPU array, consider using "
   1653             "cupy.asarray(...)\nTo explicitly construct a "

TypeError: Implicit conversion to a host NumPy array via __array__ is not allowed, To explicitly construct a GPU array, consider using cupy.asarray(...)
To explicitly construct a host array, consider using .to_array()

python Arrays cupy rapids

来源：https://stackoverflow.com/questions/68544183/cupy-error-implicit-conversion-to-a-host-numpy-array-via-array-is-not-allo

1条答案

按热度按时间

e0uiprwp1#

将cudf系列转换为cupy阵列 cupy.asarray(series) 需要cupy兼容的数据类型。您可能需要再次检查序列是否为int、float或bool类型，而不是字符串、十进制、列表或结构类型。

import cudf
import cupy

s = cudf.Series([0,1,2])
cupy.asarray(s)
array([0, 1, 2])

隐式转换错误消息的目的是指示无法通过数组协议将gpu对象传递给通常需要cpu对象的函数。在这种情况下，这很可能是一种误导。

import cudf
import cupy

s = cudf.Series(["a","b","c"])
cupy.asarray(s)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_53245/4047643563.py in <module>
      3 
      4 s = cudf.Series(["a","b","c"])
----> 5 cupy.asarray(s)
...
TypeError: Implicit conversion to a host NumPy array via __array__ is not allowed, To explicitly construct a GPU array, consider using cupy.asarray(...)
To explicitly construct a host array, consider using .to_array()

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cupy错误：不允许通过_数组_)隐式转换到主机numpy数组，

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