Python – tensorflow.concat（）
哎哎哎:# t0]https://www . geeksforgeeks . org/python-tensorlow-conct/
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。
concat() 用于沿一维连接张量。
语法: tensorflow.concat(值、轴、名称)
参数:
- 值:是张量或张量列表。
- 轴:表示要连接的维度的 0-D 张量。
- 名称(可选):定义操作的名称。
返回:返回连接的张量。
例 1:
Python 3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
t1 = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2 = [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
# Printing the input tensor
print('t1: ', t1)
print('t2: ', t2)
# Calculating result
res = tf.concat([t1, t2], 2)
# Printing the result
print('Result: ', res)
输出:
t1: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2: [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
Result: tf.Tensor(
[[[ 1 2 7 4]
[ 3 4 8 4]]
[[ 5 6 2 10]
[ 7 8 15 11]]], shape=(2, 2, 4), dtype=int32)
例 2:
Python 3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
t1 = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2 = [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
# Printing the input tensor
print('t1: ', t1)
print('t2: ', t2)
# Calculating result
res = tf.concat([t1, t2], 1)
# Printing the result
print('Result: ', res)
输出:
t1: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2: [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
Result: tf.Tensor(
[[[ 1 2]
[ 3 4]
[ 7 4]
[ 8 4]]
[[ 5 6]
[ 7 8]
[ 2 10]
[15 11]]], shape=(2, 4, 2), dtype=int32)
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