python – TypeError：传递给参数’a’的值使DataType不在允许值列表中

我有以下代码：

_X = np.arange(1, 7).reshape((2, 3))
_Y = np.arange(1, 7).reshape((3, 2))

X = tf.convert_to_tensor(_X)
Y = tf.convert_to_tensor(_Y)

# Matrix multiplication
out1 = tf.matmul(X, Y)

对于它,我收到此错误：

TypeError: Value passed to parameter 'a' has DataType int64 not in list of allowed values: float16, float32, float64, int32, complex64, complex128

我使用的是最新版本的Tensorflow.可能是什么问题？

解决方法:

输入到tf.matmul只接受这些dtypes：

a: Tensor of type float16, float32, float64, int32, complex64, complex128 and rank > 1.

将X和Y的dtype更改为上面的dtypes有效.

import tensorflow as tf
import numpy as np
_X = np.arange(1, 7).reshape((2, 3))
_Y = np.arange(1, 7).reshape((3, 2))

X = tf.convert_to_tensor(_X,dtype=tf.int32)
Y = tf.convert_to_tensor(_Y,dtype=tf.int32)

# Matrix multiplication
out1 = tf.matmul(X, Y)

sess = tf.Session()
print(sess.run(out1))