[PYTHON/TENSORFLOW] convert_to_tensor 함수 : 1차원 텐서 구하기

■ convert_to_tensor 함수를 사용해 1차원 텐서를 구하는 방법을 보여준다.

▶ 예제 코드 (PY)


import numpy as np
import tensorflow as tf

sourceArray = np.array([1.3, 1, 4.0, 23.99], dtype = 'float64')

tensor = tf.convert_to_tensor(sourceArray, dtype = tf.float64)

with tf.Session() as session:
    print(session.run(tensor))
    print(session.run(tensor[0]))
    print(session.run(tensor[1]))

[결과]

[  1.3    1.     4.    23.99]
1.3
1.0

import numpy as np

import tensorflow as tf

sourceArray = np.array([1.3, 1, 4.0, 23.99], dtype = 'float64')

tensor = tf.convert_to_tensor(sourceArray, dtype = tf.float64)

with tf.Session() as session:

print(session.run(tensor))

print(session.run(tensor[0]))

print(session.run(tensor[1]))

[결과]

[ 1.3 1. 4. 23.99]

1.3

1.0