# TypeError: Unsupported type <class 'numpy.ndarray'> cp.asnumpy(x_gpu) + y_cpu # array([5, 7, 9]) cp.asnumpy(x_gpu) + cp.asnumpy(y_cpu) # array([5, 7, 9]) x_gpu + cp.asarray(y_cpu) # array([5, 7, 9]) cp.asarray
但应为numpy.ndarray)“EN枚举是一种值类型，它定义一组相关的已命名常数。
ndarray，它存储在主内存中，不能发送到GPU。因此，你需要显式地将它转换成一个cupy.ndarray，它可以...
File "cupy/core/core.pyx", line 1466, in cupy.core.core.ndarray.__array_ufunc__ File "cupy/core/_kernel.pyx", line 1060, in cupy.core._kernel.ufunc.__call__ File "cupy/core/_kernel.pyx", line 109, in cupy.core._kernel._preprocess_args TypeError: Unsupported type <class 'numpy....
Problem Description Hi, I have a diagonal of a cupy ndarry, and am trying to convert the type of the diagonal to numpy array. However, it throws a catastrophic error, specified below. Any help will be appreciated. Conditions CuPy Version...
TypeError:Unsupportedtype<class'list'> 其实,这种赋值要求并无坏处!它会使得你的数据类型从头至尾都是统一的:cupy.core.core.ndarray数据类型,不会在计算过程中的某部出现numpy数据类型与cupy数据类型不相容的情况!—— 我们只需在所有计算完成的最后,用cupy.asnumpy()转换回numpy即可。
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A TypeError is raised when comparing ndarrays with unsupported dtypes for comparison which is inconsistent with NumPy. In [7]: numpy.array([1]) == None Out[7]: array([False]) In [8]: cupy.array([1]) == None --- TypeError Traceback (most recent call last) <ipython-input-8-0e15...
~/cupy/cupy/core/_kernel.pyx in cupy.core._kernel._preprocess_args() 84 arg = _scalar.convert_scalar(arg, use_c_scalar) 85 if arg is None: ---> 86 raise TypeError('Unsupported type %s' % typ) 87 ret.append(arg) 88 return ret TypeError: Unsupported type <class 'numpy.ndarray'>...
raise TypeError('unsupported type (actual: {})'.format(type(a))) if not isinstance(b, cupyx.scipy.sparse.csr_matrix): raise TypeError('unsupported type (actual: {})'.format(type(b))) assert a.has_canonical_format assert b.has_canonical_format if a.shape[1] != b.shape[0]: raise...