[PYTHON/TENSORFLOW] Session 클래스 : run 메소드를 사용해 피드 연산하기

■ Session 클래스의 run 메소드를 사용해 피드를 연산하는 방법을 보여준다.

▶ 예제 코드 (PY)


import tensorflow as tf
import numpy as np

aInteger = 3
bInteger = 2

xTensor = tf.placeholder(tf.float32, shape = (aInteger, bInteger))
yTensor = tf.add(xTensor, xTensor)

sourceNDArray = np.random.rand(aInteger, bInteger)

with tf.Session() as session:
    result = session.run(yTensor, feed_dict = {xTensor : sourceNDArray})
    print(result)

[결과]

[[0.35339484 0.6795656 ]
 [1.6821228  0.5671149 ]
 [1.783075   0.05875171]]

import tensorflow as tf

import numpy as np

aInteger = 3

bInteger = 2

xTensor = tf.placeholder(tf.float32, shape = (aInteger, bInteger))

yTensor = tf.add(xTensor, xTensor)

sourceNDArray = np.random.rand(aInteger, bInteger)

with tf.Session() as session:

result = session.run(yTensor, feed_dict = {xTensor : sourceNDArray})

print(result)

[결과]

[[0.35339484 0.6795656 ]

[1.6821228 0.5671149 ]

[1.783075 0.05875171]]