tensorflow tf.split 和 tf.unstack 实例
2017-07-06 11:40
465 查看
import tensorflow as tf A = [[1, 2, 3], [4, 5, 6]] a0 = tf.split(A, num_or_size_splits=3, axis=1) a1 = tf.unstack(A, num=3,axis=1) a2 = tf.split(A, num_or_size_splits=2, axis=0) a3 = tf.unstack(A, num=2,axis=0) with tf.Session() as sess: print(sess.run(a0)) print(sess.run(a1)) print(sess.run(a2)) print(sess.run(a3))
[array([[1],[4]]), array([[2],[5]]), array([[3],[6]])]
[array([1, 4]), array([2, 5]), array([3, 6])]
[array([[1, 2, 3]]), array([[4, 5, 6]])]
[array([1, 2, 3]), array([4, 5, 6])]
相关文章推荐
- tensorflow tf.stack tf.unstack 实例
- tensorflow tf.tile 实例
- tensorflow API:tf.split
- tensorflow tf.layers.dense 实例
- tensorflow tf.layers.dense 实例
- tf.nn.embedding_lookup TensorFlow embedding_lookup 函数最简单实例
- TensorFlow tf.argmax()函数
- 学习笔记TF057:TensorFlow MNIST,卷积神经网络、循环神经网络、无监督学习
- tensorflow freezen 实例
- 学习笔记TF067:TensorFlow Serving、Flod、计算加速,机器学习评测体系,公开数据集
- 【Tensorflow】辅助工具篇——tensorflow slim(TF-Slim)介绍
- 【Tensorflow】辅助工具篇——tensorflow slim(TF-Slim)介绍
- tensorflow mnist实例
- tensorflow tf.python_io模块源码阅读
- TensorFlow tf.nn.conv2d
- tensorflow API:tf.truncated_normal
- TensorFlow TFRecord
- tensorflow function笔记: tf.expand_dims and tf.squeeze
- 解决PyCharm [import tensorflow as tf]报错
- tensorflow variable_scope,tf.name_scope, tf.variable, tf.get_varible