即使我用 int32 或 float32 编辑 dtype，我如何修复尺寸我得到同样的错误？

Question

How can I fix this problem please?

dtype_attr = getattr(initializer, 'dtype', None)
if dtype is not None and dtype_attr is not None \
        and numpy.dtype(dtype) != numpy.dtype(dtype_attr):
    raise ValueError(
        'dtype mismatch: {} != {}'.format(dtype, dtype_attr))
if dtype is None:
    dtype = dtype_attr
dtype = chainer.get_dtype(dtype)
array = xp.empty(shape, dtype=dtype)   
initializer(array)
return array

Error:

File "/usr/local/lib/python3.6/dist-packages/chainer/initializers/ init .py", line 50, in generate_array array = xp.empty(shape, dtype=dtype) ValueError: sequence too large; cannot be greater than 32

Answer 1

"sequence too large error means that you are creating a multidimension array that has a dimension larger than 32. For example: np.empty([1]*33) will raise this error." as explained by the user HYRT here: Numpy array: sequence too large