在Python编程中,遇到exception: unexpected data type <class 'numpy.int64'>这类错误通常是因为函数或方法接收到了不期望的数据类型。numpy.int64是NumPy库中用于表示64位整数的数据类型,它虽然与Python内置的int类型相似,但在某些情况下,两者并不完全兼容。以下是一些解决这类问题的步骤和建议: 确认numpy.int...
When constructing compound types giving a tuple of tuples, instead of a list of tuples as is common in docs, leads to unexpected results. Reproducing code example: import numpy as np print(np.__version__) print() dts = [ [('int',int), ('...
numpy: <class 'numpy.ndarray'> (1000000,) >f4 nan: (array([], dtype=int64),) total: 499.99963 --- cupy: <class 'cupy.core.core.ndarray'> (1000000,) >f4 nan: (array([ 213, 385, 426, ..., 999227, 999242, 999391]),) total: nan The numpy array shows no NaNs as expected...
import itertools import tensorflow as tf def gen(): for i in itertools.count(1): yield (i, [1] * i) ds = tf.data.Dataset.from_generator( gen, (tf.int64, tf.int64), (tf.TensorShape([]), tf.TensorShape([None]))) iterator = ds.make_one_shot_iterator() sess = tf.Session()...