[PYTHON/TENSORFLOW] Tensor 클래스 : get_shape 메소드를 사용해 랭크 구하기

■ Tensor 클래스의 get_shape 메소드를 사용해 랭크를 구하는 방법을 보여준다.

▶ 예제 코드 (PY)


import tensorflow as tf

scalarTensor     = tf.constant(100)
vectorTensor     = tf.constant([1, 2, 3, 4, 5])
matrixTensor     = tf.constant([[1, 2, 3], [4, 5, 6]])
cubeMatrixTensor = tf.constant([[[1], [2], [3]], [[4], [5], [6]], [[7], [8], [9]]])

scalarTensorShape     = scalarTensor.get_shape()
vectorTensorShape     = vectorTensor.get_shape()
matrixTensorShape     = matrixTensor.get_shape()
cubeMatrixTensorShape = cubeMatrixTensor.get_shape()

print(scalarTensorShape    )
print(vectorTensorShape    )
print(matrixTensorShape    )
print(cubeMatrixTensorShape)

[결과]

()
(5,)
(2, 3)
(3, 3, 1)

import tensorflow as tf

scalarTensor = tf.constant(100)

vectorTensor = tf.constant([1, 2, 3, 4, 5])

matrixTensor = tf.constant([[1, 2, 3], [4, 5, 6]])

cubeMatrixTensor = tf.constant([[[1], [2], [3]], [[4], [5], [6]], [[7], [8], [9]]])

scalarTensorShape = scalarTensor.get_shape()

vectorTensorShape = vectorTensor.get_shape()

matrixTensorShape = matrixTensor.get_shape()

cubeMatrixTensorShape = cubeMatrixTensor.get_shape()

print(scalarTensorShape )

print(vectorTensorShape )

print(matrixTensorShape )

print(cubeMatrixTensorShape)

[결과]

()

(5,)

(2, 3)

(3, 3, 1)