In [1]:
import numpy as np
import tensorflow as tf
In [2]:
a3dim = np.array([[1, 2]])
b3dim = np.array([[1], [2]])
In [3]:
tf_a3dim = tf.convert_to_tensor(a3dim, dtype=tf.float64)
tf_b3dim = tf.convert_to_tensor(b3dim, dtype=tf.float64)
In [4]:
result = tf.matmul(tf_a3dim, tf_b3dim)

print(result)

tf.Tensor([[5.]], shape=(1, 1), dtype=float64)