1.tf.cast
官方链接:https://www.tensorflow.org/api_docs/python/tf/cast
tf.cast( x, dtype, name=None )
将一个张量转换为一个新类型。
Casts a tensor to a new type.
举例:
import tensorflow as tf a = tf.Variable([1,0,0,1,0]) b = tf.cast(a,dtype = bool) sess = tf.Session() sess.run(tf.initialize_all_variables()) print(sess.run(b))输出:
[ True False False True False]
2.tf.argmax
官方链接:https://www.tensorflow.org/api_docs/python/tf/argmax
tf.argmax( input, axis=None, name=None, dimension=None, output_type=tf.int64 )
返回最大值所在的坐标。
Returns the index with the largest value across axes of a tensor.
举例:
import tensorflow as tf import numpy as np A = [[1,3,4,5,6]] B = [[1,3,4], [2,4,1]] with tf.Session() as sess: print(sess.run(tf.argmax(A, 1))) print(sess.run(tf.argmax(B, 1)))
输出:
[4] [2 1]
3.tf.argmin
官方链接:https://www.tensorflow.org/api_docs/python/tf/argmin
tf.argmin( input, axis=None, name=None, dimension=None, output_type=tf.int64 )
返回最小值所在的坐标。
Returns the index with the smallest value across axes of a tensor.
举例:
import tensorflow as tf import numpy as np A = [[1,3,4,5,6]] B = [[1,3,4], [2,4,1]] with tf.Session() as sess: print(sess.run(tf.argmin(A, 1))) print(sess.run(tf.argmin(B, 1)))
输出:
[0] [0 2]4.tf.equal()
官方链接:https://www.tensorflow.org/api_docs/python/tf/equal
tf.equal( x, y, name=None )tf.equal(A, B)是对比这两个矩阵或者向量的相等的元素,如果是相等的那就返回True,反正返回False,返回的值的矩阵维度和A是一样的
举例:
import tensorflow as tf import numpy as np A = [[1,3,4,5,6]] B = [[1,3,4,3,2]] with tf.Session() as sess: print(sess.run(tf.equal(A, B)))
输出:
[[ True True True False False]]