Python – tensorflow.expand_dims()
TensorFlow是谷歌设计的开源Python库,用于开发机器学习模型和深度学习神经网络。
expand_dims()用于在输入张量中插入一个额外的维度。
语法: tensorflow.expand_dims( input, axis, name)
参数:
- input: 它是输入的张量。
- axis: 它定义了要插入的尺寸的索引。如果输入有D个维度,那么轴的值必须在[-(D+1), D]范围内。
- name(可选):它定义了该操作的名称。
返回:它返回一个扩展维度的张量。
示例 1:
# Importing the library
import tensorflow as tf
# Initializing the input
x = tf.constant([[2, 3, 6], [4, 8, 15]])
# Printing the input
print('x:', x)
# Calculating result
res = tf.expand_dims(x, 1)
# Printing the result
print('res: ', res)
输出:
x: tf.Tensor(
[[ 2 3 6]
[ 4 8 15]], shape=(2, 3), dtype=int32)
res: tf.Tensor(
[[[ 2 3 6]]
[[ 4 8 15]]], shape=(2, 1, 3), dtype=int32)
# shape has changed from (2, 3) to (2, 1, 3)
示例 2:
# Importing the library
import tensorflow as tf
# Initializing the input
x = tf.constant([[2, 3, 6], [4, 8, 15]])
# Printing the input
print('x:', x)
# Calculating result
res = tf.expand_dims(x, 0)
# Printing the result
print('res: ', res)
输出:
x: tf.Tensor(
[[ 2 3 6]
[ 4 8 15]], shape=(2, 3), dtype=int32)
res: tf.Tensor(
[[[ 2 3 6]
[ 4 8 15]]], shape=(1, 2, 3), dtype=int32)
# shape has changed from (2, 3) to (1, 2, 3)